diff --git "a/gmm_point_tracking_with_centroids.csv" "b/gmm_point_tracking_with_centroids.csv"
new file mode 100644--- /dev/null
+++ "b/gmm_point_tracking_with_centroids.csv"
@@ -0,0 +1,1001 @@
+iteration,point_id,x,y,cluster,centroid_x,centroid_y,probabilities,id,title,keywords,rating_avg,confidence_avg,author,aff,position,site,github,pdf,openreview,poster
+1,0,0.08799766,-0.06060414,0,0.04592027600134834,0.004652675863308072,"[0.9610000020148031, 0.0036101233088717995, 7.72417411803021e-12, 0.03536290162418439, 2.697304441648884e-05]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+1,1,-0.08406016,0.2851326,2,-0.09399681602352898,0.3334173716850977,"[0.0032659950178664447, 9.674464378693313e-17, 0.9942752758117072, 4.324628379884822e-13, 0.002458729169993784]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+1,2,-0.16364236,-0.11411294,4,-0.21850191112381967,-0.004302541343377307,"[0.32233174048731567, 1.909954497691898e-07, 1.0319537967163742e-10, 0.06317067208854182, 0.6144973963254974]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+1,3,0.07371062,-0.27021888,3,-0.1311631712723375,-0.28463581165563745,"[0.10367272859160921, 0.14631356239915883, 9.005220360805688e-24, 0.7500136597245377, 4.928469434669066e-08]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+1,4,-0.1284643,0.3103237,2,-0.09399681602352898,0.3334173716850977,"[0.0003224283552737136, 1.474986441194567e-19, 0.9986732951649601, 4.632228587330358e-15, 0.001004276479761642]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+1,5,-0.23808402,0.26056772,2,-0.09399681602352898,0.3334173716850977,"[8.552755778850757e-05, 1.636993024538528e-21, 0.9906472779799465, 2.176526971298093e-14, 0.0092671944622432]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+1,6,-0.10493148,-0.30384988,3,-0.1311631712723375,-0.28463581165563745,"[0.047221013204990066, 0.0002848157624912368, 6.525928147428476e-23, 0.9524209402134818, 7.323081903706098e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+1,7,-0.295713,-0.42771262,3,-0.1311631712723375,-0.28463581165563745,"[0.005259129124738324, 1.4069793709380055e-06, 5.700181925132596e-28, 0.9947261888465835, 1.3275049307222582e-05]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+1,8,-0.3188932,-0.023905918,4,-0.21850191112381967,-0.004302541343377307,"[0.00472881192788093, 2.5980413326266375e-14, 6.239642665604645e-06, 2.0895699138269544e-05, 0.9952440527302892]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+1,9,0.52375084,0.03593809,1,0.40261197255458847,-0.08318364083571851,"[0.00010751321889685142, 0.9998920594071498, 5.572186481549969e-17, 4.2737395327678336e-07, 2.3328507267174085e-26]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+1,10,-0.24769914,0.06194072,4,-0.21850191112381967,-0.004302541343377307,"[0.006236343880692106, 1.2033773478392555e-14, 0.0006284588481700384, 4.4039671729755225e-07, 0.9931347568744087]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+1,11,0.45866024,0.07679337,1,0.40261197255458847,-0.08318364083571851,"[0.004789577074593344, 0.9952075616560121, 6.050415165331628e-13, 2.8612687894952684e-06, 3.120589578683671e-21]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+1,12,-0.21952832,-0.2596673,3,-0.1311631712723375,-0.28463581165563745,"[0.07127129555808932, 1.2633519665545733e-06, 6.724970057911959e-18, 0.9111330421871165, 0.017594398902827598]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+1,13,0.5387558,-0.021885695,1,0.40261197255458847,-0.08318364083571851,"[1.4774489013496798e-05, 0.9999847920885987, 1.1845671195984715e-20, 4.334223877752761e-07, 2.4962729196524225e-28]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+1,14,-0.31746334,-0.03755091,4,-0.21850191112381967,-0.004302541343377307,"[0.005726122721549833, 6.926503508842367e-14, 2.0724985147437775e-06, 4.743053884860861e-05, 0.9942243742410175]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+1,15,0.21572201,0.15297481,0,0.04592027600134834,0.004652675863308072,"[0.9997382412285086, 0.00022492052092407046, 3.254079281824419e-05, 4.281899492774582e-06, 1.555825628727213e-08]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+1,16,-0.17784788,-0.16018736,4,-0.21850191112381967,-0.004302541343377307,"[0.33351309216588193, 7.210986196262135e-07, 1.1015125835204239e-12, 0.29616321114666644, 0.3703229755877306]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+1,17,0.12485067,-0.17534988,3,-0.1311631712723375,-0.28463581165563745,"[0.35969524678899134, 0.24945115311311714, 1.336528123427154e-18, 0.3908535182000549, 8.189783658746366e-08]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+1,18,-0.045080878,-0.32160506,3,-0.1311631712723375,-0.28463581165563745,"[0.04562771302136759, 0.003851214224858593, 3.587565445717475e-25, 0.950518240880963, 2.831872810621381e-06]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+1,19,-0.29219365,-0.1354431,4,-0.21850191112381967,-0.004302541343377307,"[0.03988952455276641, 1.941668455013209e-10, 2.7439085130769777e-10, 0.01701592832211219, 0.9430945466565637]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+1,20,0.22983314,0.005944166,0,0.04592027600134834,0.004652675863308072,"[0.8726510071091341, 0.1236175974226023, 6.397277890466351e-11, 0.0037313936783736337, 1.725917295764124e-09]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+1,21,-0.2313607,0.15489271,4,-0.21850191112381967,-0.004302541343377307,"[0.005415360369404412, 1.1773901720972085e-16, 0.18869304900753484, 1.8474717090081445e-09, 0.8058915887755889]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+1,22,0.44196302,-0.22339565,1,0.40261197255458847,-0.08318364083571851,"[9.252365565376698e-06, 0.9999716321016106, 1.0635862808138545e-30, 1.9115532824036688e-05, 1.825476793420965e-25]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+1,23,0.31953293,-0.23248373,1,0.40261197255458847,-0.08318364083571851,"[0.00039576522117051703, 0.9985528973984195, 7.338681148388485e-28, 0.0010513373804100139, 1.9664526729881777e-18]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+1,24,0.0025802255,-0.08199731,0,0.04592027600134834,0.004652675863308072,"[0.9318091882181055, 0.00020624808115773466, 1.5882418822627e-11, 0.06517485557460803, 0.002809708110246239]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+1,25,0.023439856,-0.079839304,0,0.04592027600134834,0.004652675863308072,"[0.9365120974650514, 0.0004649476329699633, 9.43660473748381e-12, 0.0620863849783889, 0.0009365699141530529]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+1,26,-0.06371302,0.3954228,2,-0.09399681602352898,0.3334173716850977,"[0.00012402458843111796, 9.809417459177354e-21, 0.9998672617000046, 3.707108009713051e-18, 8.713711564161742e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+1,27,-0.2963673,0.015343715,4,-0.21850191112381967,-0.004302541343377307,"[0.004025573496148959, 8.30215531739575e-15, 6.349280583428496e-05, 2.786206062738948e-06, 0.9959081474919457]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+1,28,0.08612508,0.3898904,2,-0.09399681602352898,0.3334173716850977,"[0.005582459458721729, 4.764073000161274e-15, 0.9944173949857597, 1.160172678290867e-15, 1.4555551276842973e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+1,29,-0.20296153,0.2345368,2,-0.09399681602352898,0.3334173716850977,"[0.0008568330877808954, 6.741648899891591e-19, 0.9491985707660823, 1.7748491800779232e-12, 0.04994459614436192]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+1,30,-0.3021013,-0.23802479,3,-0.1311631712723375,-0.28463581165563745,"[0.078216314327577, 2.084693702197382e-08, 5.116143815581607e-15, 0.7496380649648993, 0.1721455998605815]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+1,31,0.40233114,0.06031101,1,0.40261197255458847,-0.08318364083571851,"[0.029252290954653103, 0.9707209776424296, 3.2371448930461047e-12, 2.6731399680118383e-05, 8.104664747159253e-18]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+1,32,-0.31179968,-0.050893012,4,-0.21850191112381967,-0.004302541343377307,"[0.007341226682350194, 2.3370368689936066e-13, 6.089962962811924e-07, 0.00011082469992327721, 0.9925473396211966]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+1,33,0.11298243,0.035079706,0,0.04592027600134834,0.004652675863308072,"[0.9988378758654758, 0.00027571342096332737, 4.173473036602718e-08, 0.000868366435480037, 1.8002543350531202e-05]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+1,34,-0.23456638,0.06657637,4,-0.21850191112381967,-0.004302541343377307,"[0.007942055272435529, 2.337500706355445e-14, 0.0006989851658039866, 4.56362283567183e-07, 0.9913585031994534]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+1,35,0.11017645,-0.16371755,0,0.04592027600134834,0.004652675863308072,"[0.4741398117776026, 0.13388913934504604, 1.284059610475572e-17, 0.39197065652422397, 3.9235312746065776e-07]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+1,36,0.1429859,0.059452157,0,0.04592027600134834,0.004652675863308072,"[0.9992775371382331, 0.000397186511474393, 1.4339323089959214e-07, 0.00032240409466069084, 2.7288624008410396e-06]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+1,37,-0.040502112,0.02318828,0,0.04592027600134834,0.004652675863308072,"[0.9000372974437778, 3.439915724508072e-07, 2.084966519170096e-06, 0.0008261911160259755, 0.09913408248210462]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+1,38,-0.06471333,0.08954511,0,0.04592027600134834,0.004652675863308072,"[0.6500725262364759, 3.166110685424269e-09, 0.0008267806747929298, 2.0590635403637598e-05, 0.34908009928721684]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+1,39,0.06407858,0.09707585,0,0.04592027600134834,0.004652675863308072,"[0.9992848146726905, 1.8826410546362493e-06, 3.6326326982560525e-05, 3.7108356063240894e-05, 0.0006398680032090677]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+1,40,-0.021407472,0.09407413,0,0.04592027600134834,0.004652675863308072,"[0.9324394139594736, 3.1156156027442466e-08, 0.00040286415203111915, 2.7864405126243902e-05, 0.06712982632721294]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+1,41,-0.056248758,0.025906589,0,0.04592027600134834,0.004652675863308072,"[0.8095415164619693, 1.2951827118975427e-07, 4.119305035234441e-06, 0.0006260870059660554, 0.18982814770875808]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+1,42,-0.15132618,0.02146309,4,-0.21850191112381967,-0.004302541343377307,"[0.09832097703664125, 2.0034667043509203e-10, 1.025127196184222e-05, 7.201636967516488e-05, 0.9015967551213753]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+1,43,-0.18518934,0.0027779788,4,-0.21850191112381967,-0.004302541343377307,"[0.04484994091027801, 4.448415250753522e-11, 3.2481227170592724e-06, 7.318670960373645e-05, 0.9550736242129171]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+1,44,0.5118622,-0.024860546,1,0.40261197255458847,-0.08318364083571851,"[3.74033568319175e-05, 0.9999614892812593, 4.268855222649279e-20, 1.1073619088770351e-06, 1.6279031192725568e-26]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+1,45,-0.0018669573,0.3644946,2,-0.09399681602352898,0.3334173716850977,"[0.0014808877216321938, 3.569608427880069e-17, 0.9985099546906303, 9.78862706585379e-16, 9.157587736539737e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+1,46,-0.24925767,0.015651966,4,-0.21850191112381967,-0.004302541343377307,"[0.008751271452824219, 1.904108777336706e-13, 2.239112894203609e-05, 6.651020044086569e-06, 0.9912196863979992]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+1,47,0.2804453,-0.1894261,1,0.40261197255458847,-0.08318364083571851,"[0.0035614229504687296, 0.9916380034659878, 8.837466110939935e-24, 0.0048005735835411805, 2.2093692435076132e-15]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+1,48,0.37225774,-0.11562894,1,0.40261197255458847,-0.08318364083571851,"[0.0007498254771960463, 0.9990431435887542, 1.1307501151102556e-21, 0.00020703093404972542, 3.7721394901521905e-19]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+1,49,0.1460578,0.21914145,0,0.04592027600134834,0.004652675863308072,"[0.9831076641151729, 3.1113500138644485e-07, 0.016889197809427447, 5.898366652629734e-08, 2.7679567319159686e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+1,50,0.07159563,-0.024327766,0,0.04592027600134834,0.004652675863308072,"[0.9902543400816733, 0.0004659921792890681, 5.726409412905504e-10, 0.009145151467489756, 0.00013451569890691372]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+1,51,-0.078428976,-0.18954016,3,-0.1311631712723375,-0.28463581165563745,"[0.35058214083966494, 0.00014133904803836035, 5.765959086196806e-16, 0.6440398252037266, 0.005236694908569497]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+1,52,-0.23586994,0.37846398,2,-0.09399681602352898,0.3334173716850977,"[1.658483445042575e-06, 1.0301760449183459e-26, 0.9999593594170149, 3.975245948143834e-20, 3.8982099540097025e-05]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+1,53,-0.15925287,-0.015642455,4,-0.21850191112381967,-0.004302541343377307,"[0.1122402139109214, 9.520332442980468e-10, 5.792766649490419e-07, 0.000447364983543358, 0.8873118408768372]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+1,54,0.38273144,-0.19184409,1,0.40261197255458847,-0.08318364083571851,"[0.00010553172188101492, 0.9997525732733523, 6.387282078854181e-27, 0.00014189500476657479, 2.971731934177852e-21]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+1,55,-0.029614072,-0.05991212,0,0.04592027600134834,0.004652675863308072,"[0.949739120704459, 2.1694466676259363e-05, 5.31791964972929e-10, 0.02875290431312447, 0.021486279983948538]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+1,56,-0.041920777,-0.1336057,0,0.04592027600134834,0.004652675863308072,"[0.7238206712352738, 0.00017164591827094466, 2.1513184490631107e-13, 0.26841313063485733, 0.007594552211382607]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+1,57,-0.05421332,-0.22073112,3,-0.1311631712723375,-0.28463581165563745,"[0.21018081989458215, 0.0006346498169720431, 2.5293145959971368e-18, 0.7887152364757084, 0.0004692938127373637]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+1,58,-0.19589648,0.09422963,4,-0.21850191112381967,-0.004302541343377307,"[0.01734574539940661, 8.234592657572673e-14, 0.0029285060796302373, 2.514979873569191e-07, 0.9797254970228935]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+1,59,0.09615892,0.18102637,0,0.04592027600134834,0.004652675863308072,"[0.9938977845329359, 1.643325800572644e-07, 0.006006729741668643, 4.290538136549065e-07, 9.48923390016514e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+1,60,-0.013711061,-0.07216554,0,0.04592027600134834,0.004652675863308072,"[0.9461304017945044, 7.08021501013797e-05, 8.298865058434365e-11, 0.04589182991139041, 0.007906966061015298]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+1,61,0.49365819,-0.019841706,1,0.40261197255458847,-0.08318364083571851,"[8.3351353639697e-05, 0.9999146528601249, 2.6366564700931807e-19, 1.9957862352567147e-06, 3.4263057308397865e-25]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+1,62,-0.096782275,0.2680031,2,-0.09399681602352898,0.3334173716850977,"[0.004834549546057942, 1.9946756703523662e-16, 0.9880773253054534, 1.9890990032335366e-12, 0.007088125146499437]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+1,63,-0.07022652,-0.30347943,3,-0.1311631712723375,-0.28463581165563745,"[0.0529787788153205, 0.0011106812629624627, 1.6900370116925454e-23, 0.9458911211944954, 1.941872722150108e-05]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+1,64,-0.08510746,-0.26066056,3,-0.1311631712723375,-0.28463581165563745,"[0.0986930751955586, 0.00032992082896524485, 2.2444436612965276e-20, 0.9007061459475155, 0.00027085802796055744]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+1,65,-0.00251228,0.3769304,2,-0.09399681602352898,0.3334173716850977,"[0.0009856134483468301, 1.0350959196346143e-17, 0.9990092081460763, 2.4125382412088737e-16, 5.178405576737277e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+1,66,0.42614552,0.08994585,1,0.40261197255458847,-0.08318364083571851,"[0.027986402037814207, 0.9720054818462879, 2.556523729917162e-11, 8.11609033242367e-06, 7.364890696769862e-19]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+1,67,0.25132486,-0.20319358,1,0.40261197255458847,-0.08318364083571851,"[0.007100953008434184, 0.9802795209818397, 7.733591691791306e-24, 0.01261952600968582, 4.0194463962538063e-14]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+1,68,-0.18157998,0.03947093,4,-0.21850191112381967,-0.004302541343377307,"[0.035447255799585076, 6.525401405020722e-12, 5.1174239237968217e-05, 9.863040891907582e-06, 0.9644917069137597]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+1,69,-0.12251995,-0.049827244,4,-0.21850191112381967,-0.004302541343377307,"[0.4109120240574529, 9.400013057134155e-08, 2.026991530796236e-08, 0.007406527078839336, 0.5816813345936619]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+1,70,-0.18423451,0.25213403,2,-0.09399681602352898,0.3334173716850977,"[0.0006910578260924498, 5.204461105765133e-19, 0.9776187883273546, 4.699011183152252e-13, 0.02169015384608309]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+1,71,-0.04843812,0.4040603,2,-0.09399681602352898,0.3334173716850977,"[0.00014712045432586855, 1.648419687768669e-20, 0.9998483929645298, 2.4939386452028257e-18, 4.486581144363389e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+1,72,0.25011468,-0.18353273,1,0.40261197255458847,-0.08318364083571851,"[0.011640440433163838, 0.9741714772873222, 1.769324204810824e-22, 0.014188082279391351, 1.2260839818354404e-13]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+1,73,0.24778247,-0.18444899,1,0.40261197255458847,-0.08318364083571851,"[0.012346833246183778, 0.9723062444888793, 1.8050553379002336e-22, 0.015346922264781812, 1.5532078837784284e-13]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+1,74,-0.17648138,-0.41862112,3,-0.1311631712723375,-0.28463581165563745,"[0.011113125040745405, 0.00013548861360206427, 1.3825347979630302e-29, 0.9887485899551346, 2.7963905179526303e-06]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+1,75,-0.16704087,-0.3598848,3,-0.1311631712723375,-0.28463581165563745,"[0.018451430770640737, 6.20226902770278e-05, 1.2418350903778268e-25, 0.9814509349183721, 3.561162071014226e-05]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+1,76,0.61073065,0.018717432,1,0.40261197255458847,-0.08318364083571851,"[2.5375689454557664e-06, 0.9999974361486483, 2.937117193399011e-20, 2.6282406398326138e-08, 6.782642316171068e-33]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+1,77,-0.07488669,0.3827278,2,-0.09399681602352898,0.3334173716850977,"[0.00013023081216295855, 1.2267676376662749e-20, 0.9998514042450997, 9.946609008659554e-18, 1.8364942737468188e-05]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+1,78,0.022653038,0.24370801,2,-0.09399681602352898,0.3334173716850977,"[0.3358917566335536, 4.316739758147992e-11, 0.6620296238396164, 1.7513685342064208e-09, 0.002078617732294135]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+1,79,0.24368975,0.18879418,0,0.04592027600134834,0.004652675863308072,"[0.9996235026270697, 0.00017798774783134985, 0.00019780860665985324, 6.995134340310877e-07, 1.5050052029445228e-09]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+1,80,-0.16938657,-0.05973538,4,-0.21850191112381967,-0.004302541343377307,"[0.14469757949813075, 6.007240228714849e-09, 1.6347392849906497e-08, 0.003671699325283096, 0.8516306988219531]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+1,81,-0.25151917,-0.28693447,3,-0.1311631712723375,-0.28463581165563745,"[0.038626410785205206, 5.19288625174458e-07, 4.1851696382379185e-19, 0.9530239884999264, 0.008349081426243183]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+1,82,0.04577409,-0.24324691,3,-0.1311631712723375,-0.28463581165563745,"[0.16203526820312875, 0.04119355474554887, 1.7574062786915264e-21, 0.7967702054317503, 9.71619572027632e-07]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+1,83,-0.22563006,-0.049784996,4,-0.21850191112381967,-0.004302541343377307,"[0.03140731915304705, 5.89550850682295e-11, 8.650930869747344e-08, 0.0004960609616575806, 0.9680965333170316]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+1,84,-0.20074943,0.040258985,4,-0.21850191112381967,-0.004302541343377307,"[0.02114015665756624, 1.4318886719844231e-12, 6.620649787795047e-05, 5.345058890501094e-06, 0.9787882917842334]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+1,85,-0.1496939,0.30529067,2,-0.09399681602352898,0.3334173716850977,"[0.0002099634238465346, 3.825363432793819e-20, 0.9983741504313117, 3.7223493715876405e-15, 0.0014158861448380763]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+1,86,0.2630342,0.051892787,0,0.04592027600134834,0.004652675863308072,"[0.8969095586566842, 0.10243913673353214, 1.938726808424085e-09, 0.0006513025065655928, 1.6449137266308135e-10]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+1,87,0.61719507,-0.024593957,1,0.40261197255458847,-0.08318364083571851,"[8.093963814521072e-07, 0.9999991576243146, 7.086826132347183e-23, 3.297930387492487e-08, 5.149691432842976e-34]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+1,88,-0.14552048,-0.15470643,0,0.04592027600134834,0.004652675863308072,"[0.45793841257278, 3.1448123855099404e-06, 7.461212352729404e-13, 0.3358936397246549, 0.20616480288943348]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+1,89,0.004352061,-0.07103703,0,0.04592027600134834,0.004652675863308072,"[0.9514458824083626, 0.0001488053151495698, 4.8707978743787935e-11, 0.04525775727218013, 0.003147554955599698]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+1,90,-0.31772932,0.41427824,2,-0.09399681602352898,0.3334173716850977,"[7.08564833781896e-08, 1.5897944191070508e-31, 0.9999969244166157, 3.4570802954802753e-23, 3.0047269011291436e-06]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+1,91,-0.118134014,0.26676714,2,-0.09399681602352898,0.3334173716850977,"[0.002711713876994497, 3.5838605515922544e-17, 0.9882559526268964, 1.0411608362180484e-12, 0.009032333495068172]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+1,92,-0.19037005,0.30377576,2,-0.09399681602352898,0.3334173716850977,"[6.573092556070265e-05, 1.1935295145865115e-21, 0.9984328190596045, 9.465417420060055e-16, 0.0015014500148337734]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+1,93,-0.18803668,0.09546091,4,-0.21850191112381967,-0.004302541343377307,"[0.021280650605673163, 1.4204124879459025e-13, 0.0029688543295641107, 2.9713394697505444e-07, 0.9757501979306737]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+1,94,0.32727078,-0.11709024,1,0.40261197255458847,-0.08318364083571851,"[0.0037048616339198626, 0.9952801768622849, 1.8818125944060974e-20, 0.0010149615037950335, 1.5803896390079842e-16]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+1,95,0.3095995,0.5030761,2,-0.09399681602352898,0.3334173716850977,"[0.029155801384018333, 1.2770913460913923e-11, 0.9708441986032086, 6.251903659179134e-18, 1.9500194566861426e-15]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+1,96,-0.26364937,-0.38828564,3,-0.1311631712723375,-0.28463581165563745,"[0.008661501142037798, 2.1818333532394323e-06, 8.331607810400578e-26, 0.9912724777111682, 6.383931344081974e-05]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+1,97,-0.25224024,-0.31188005,3,-0.1311631712723375,-0.28463581165563745,"[0.024928977427275574, 7.867578056501439e-07, 9.166614095443392e-21, 0.9726624020724675, 0.002407833742451224]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+1,98,-0.30068702,-0.14781809,4,-0.21850191112381967,-0.004302541343377307,"[0.04518947432339692, 2.6401935629135715e-10, 1.1601356334160247e-10, 0.02975578212746277, 0.9250547431691074]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+1,99,-0.09486352,0.005280091,0,0.04592027600134834,0.004652675863308072,"[0.5016294340281147, 3.360494247626654e-08, 1.6079477258197025e-06, 0.0009014394910597637, 0.49746748492815723]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+2,0,0.08799766,-0.06060414,0,0.039475573310242464,-0.0014300409927484566,"[0.9742159109891833, 0.0023829563876505777, 6.763225385029534e-12, 0.023376373579556024, 2.4759036846763157e-05]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+2,1,-0.08406016,0.2851326,2,-0.09406398144692839,0.3336498750304647,"[0.003927816674454897, 1.6409885325387223e-17, 0.9930456424143158, 2.622399474476215e-15, 0.00302654091122658]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+2,2,-0.16364236,-0.11411294,4,-0.21923645191953092,-0.005304814234146388,"[0.37401643029396936, 6.185128055193683e-08, 8.327932311553234e-11, 0.0283212675721654, 0.5976622401993054]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+2,3,0.07371062,-0.27021888,3,-0.12913824906450408,-0.2905951095692693,"[0.11478094802959875, 0.11256777236831036, 6.329734052879696e-24, 0.772651217746616, 6.185547481135791e-08]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+2,4,-0.1284643,0.3103237,2,-0.09406398144692839,0.3336498750304647,"[0.00042665615004759477, 1.8656068844759054e-20, 0.998232560813947, 1.3253893840256027e-17, 0.0013407830360052289]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+2,5,-0.23808402,0.26056772,2,-0.09406398144692839,0.3336498750304647,"[0.00013917897034114712, 1.384088129720557e-22, 0.9881102469479683, 7.27910065577864e-17, 0.011750574081690654]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+2,6,-0.10493148,-0.30384988,3,-0.12913824906450408,-0.2905951095692693,"[0.05801206006468713, 0.00016100452969268982, 4.633001010498968e-23, 0.9417227502971707, 0.00010418510844945022]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+2,7,-0.295713,-0.42771262,3,-0.12913824906450408,-0.2905951095692693,"[0.00952943683299556, 5.672890208625336e-07, 3.6660995750585753e-28, 0.9904436623823201, 2.633349566355698e-05]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+2,8,-0.3188932,-0.023905918,4,-0.21923645191953092,-0.005304814234146388,"[0.008278048555019799, 3.7159270425261095e-15, 5.780784717052156e-06, 2.827415992719698e-06, 0.9917133432442669]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+2,9,0.52375084,0.03593809,1,0.4059581690423063,-0.08272132247167828,"[0.00019479257785407975, 0.9998046280469045, 4.8281576286770543e-17, 5.793752413246048e-07, 1.3304399239478475e-26]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+2,10,-0.24769914,0.06194072,4,-0.21923645191953092,-0.005304814234146388,"[0.009245195294312402, 1.8568135217846878e-15, 0.000598645371574099, 2.9213143957053078e-08, 0.9901561301209677]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+2,11,0.45866024,0.07679337,1,0.4059581690423063,-0.08272132247167828,"[0.007260521616026823, 0.9927367523453322, 5.538727717480374e-13, 2.7260380870660834e-06, 1.9428400200417984e-21]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+2,12,-0.21952832,-0.2596673,3,-0.12913824906450408,-0.2905951095692693,"[0.11113280478891177, 5.300179896765463e-07, 5.654986579172681e-18, 0.8638632670185505, 0.025003398174547838]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+2,13,0.5387558,-0.021885695,1,0.4059581690423063,-0.08272132247167828,"[2.969167170986473e-05, 0.9999695968493594, 9.95639579220232e-21, 7.114789307600287e-07, 1.47949114772179e-28]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+2,14,-0.31746334,-0.03755091,4,-0.21923645191953092,-0.005304814234146388,"[0.009920525652450789, 1.0356748633583014e-14, 1.8996318775239804e-06, 7.432311861868609e-06, 0.9900701424037995]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+2,15,0.21572201,0.15297481,0,0.039475573310242464,-0.0014300409927484566,"[0.9998232431336574, 0.00014487454124798984, 3.102124672306631e-05, 8.484966501208084e-07, 1.2581721372571259e-08]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+2,16,-0.17784788,-0.16018736,0,0.039475573310242464,-0.0014300409927484566,"[0.4211564223031181, 2.576865024414613e-07, 9.053759021549844e-13, 0.17812542573661833, 0.40071789427285553]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+2,17,0.12485067,-0.17534988,3,-0.12913824906450408,-0.2905951095692693,"[0.3895111412742717, 0.19924787447227066, 1.05666158886678e-18, 0.4112408989572936, 8.529616406020211e-08]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+2,18,-0.045080878,-0.32160506,3,-0.12913824906450408,-0.2905951095692693,"[0.05427513007031611, 0.002540998896122515, 2.4672616731155393e-25, 0.9431796682819275, 4.202751634028516e-06]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+2,19,-0.29219365,-0.1354431,4,-0.21923645191953092,-0.005304814234146388,"[0.059880010933306416, 3.980685651448483e-11, 2.1990168517737513e-10, 0.006393401777539391, 0.9337265870294456]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+2,20,0.22983314,0.005944166,0,0.039475573310242464,-0.0014300409927484566,"[0.9005326310659905, 0.09700343006910901, 5.594956926862584e-11, 0.0024639374679209756, 1.3410300503126442e-09]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+2,21,-0.2313607,0.15489271,4,-0.21923645191953092,-0.005304814234146388,"[0.00762675920250902, 1.3959473372181613e-17, 0.17526017315859727, 3.5077281589136796e-11, 0.8171130676038165]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+2,22,0.44196302,-0.22339565,1,0.4059581690423063,-0.08272132247167828,"[1.811605811747664e-05, 0.9999568898598538, 7.909439613564226e-31, 2.4994082028891226e-05, 1.776077747055911e-25]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+2,23,0.31953293,-0.23248373,1,0.4059581690423063,-0.08272132247167828,"[0.0005823043845103451, 0.998123174449402, 5.4515447618313855e-28, 0.001294521166087707, 2.119691030119312e-18]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+2,24,0.0025802255,-0.08199731,0,0.039475573310242464,-0.0014300409927484566,"[0.9585750574350622, 0.00011244566820920094, 1.3684356227155857e-11, 0.03860973578251291, 0.0027027611005313885]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+2,25,0.023439856,-0.079839304,0,0.039475573310242464,-0.0014300409927484566,"[0.9603139723217878, 0.00026859088392364107, 8.1748941043546e-12, 0.03852013311046786, 0.0008973036756457702]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+2,26,-0.06371302,0.3954228,2,-0.09406398144692839,0.3336498750304647,"[0.00015832681121747086, 1.2991360482538464e-21, 0.9998277809242224, 3.3516533764619564e-21, 1.389226456024792e-05]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+2,27,-0.2963673,0.015343715,4,-0.21923645191953092,-0.005304814234146388,"[0.006707380671120672, 1.1774498910424283e-15, 5.996051734963789e-05, 2.652304564321596e-07, 0.9932323935810721]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+2,28,0.08612508,0.3898904,2,-0.09406398144692839,0.3336498750304647,"[0.006039135968265467, 1.2505054113599533e-15, 0.993960664422738, 3.6542341680148255e-18, 1.9960899545001334e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+2,29,-0.20296153,0.2345368,2,-0.09406398144692839,0.3336498750304647,"[0.0012473021225738472, 7.474188593328209e-20, 0.9395821953245285, 1.1724503593598076e-14, 0.05917050255288598]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+2,30,-0.3021013,-0.23802479,3,-0.12913824906450408,-0.2905951095692693,"[0.1483353239002917, 6.390024412056428e-09, 4.579549838270377e-15, 0.6129344182792913, 0.23873025143038815]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+2,31,0.40233114,0.06031101,1,0.4059581690423063,-0.08272132247167828,"[0.04035967701732959, 0.9596166620902009, 3.02734897596908e-12, 2.366088944218851e-05, 5.534136945836771e-18]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+2,32,-0.31179968,-0.050893012,4,-0.21923645191953092,-0.005304814234146388,"[0.012428881550937054, 3.714137815048297e-14, 5.510151308465577e-07, 2.0192657939247486e-05, 0.9875503747759556]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+2,33,0.11298243,0.035079706,0,0.039475573310242464,-0.0014300409927484566,"[0.9994799262349311, 0.00017034908016733087, 3.910932059057257e-08, 0.0003339646252855315, 1.5720950295601428e-05]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+2,34,-0.23456638,0.06657637,4,-0.21923645191953092,-0.005304814234146388,"[0.01143043330942359, 3.7838371580294855e-15, 0.0006664411971790253, 3.0324977081335046e-08, 0.9879030951684165]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+2,35,0.11017645,-0.16371755,0,0.039475573310242464,-0.0014300409927484566,"[0.5036542427759664, 0.10273340920105856, 1.0224948644791255e-17, 0.393611946933996, 4.0108897915595724e-07]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+2,36,0.1429859,0.059452157,0,0.039475573310242464,-0.0014300409927484566,"[0.9996299381849086, 0.0002539966770694234, 1.354366894936439e-07, 0.00011360355842154409, 2.326142911005438e-06]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+2,37,-0.040502112,0.02318828,0,0.039475573310242464,-0.0014300409927484566,"[0.9104127636202253, 1.315782082567583e-07, 1.8666409493190755e-06, 0.00019067365938806196, 0.08939456450122922]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+2,38,-0.06471333,0.08954511,0,0.039475573310242464,-0.0014300409927484566,"[0.6771831077086025, 9.565214957312486e-10, 0.000762972036127159, 2.177683335545285e-06, 0.3220517416154134]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+2,39,0.06407858,0.09707585,0,0.039475573310242464,-0.0014300409927484566,"[0.999375403956107, 9.138692285163876e-07, 3.519145561446205e-05, 6.742796395718543e-06, 0.0005817479226544759]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+2,40,-0.021407472,0.09407413,0,0.039475573310242464,-0.0014300409927484566,"[0.9382968552319743, 1.100854147464985e-08, 0.000374976807326287, 3.433752691449386e-06, 0.061324723199466434]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+2,41,-0.056248758,0.025906589,0,0.039475573310242464,-0.0014300409927484566,"[0.828272592864124, 4.6491837731068864e-08, 3.682737313981689e-06, 0.00013226359902419668, 0.1715914143076998]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+2,42,-0.15132618,0.02146309,4,-0.21923645191953092,-0.005304814234146388,"[0.1197268132921405, 5.326163628535288e-11, 9.632727745948565e-06, 1.152178984420171e-05, 0.8802520321370076]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+2,43,-0.18518934,0.0027779788,4,-0.21923645191953092,-0.005304814234146388,"[0.05799813780998973, 1.0821743269806702e-11, 3.036888968888869e-06, 1.2460878728683357e-05, 0.941986364411491]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+2,44,0.5118622,-0.024860546,1,0.4059581690423063,-0.08272132247167828,"[6.911728866286697e-05, 0.9999291656537656, 3.5760681130524683e-20, 1.7170575716576097e-06, 9.942074035377475e-27]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+2,45,-0.0018669573,0.3644946,2,-0.09406398144692839,0.3336498750304647,"[0.0016894464114364522, 6.933658283022483e-18, 0.9982978259563826, 2.562850915517872e-18, 1.2727632181058723e-05]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+2,46,-0.24925767,0.015651966,4,-0.21923645191953092,-0.005304814234146388,"[0.012985941644033432, 3.3785481129316195e-14, 2.114066907689657e-05, 7.671601466299595e-07, 0.9869921505267092]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+2,47,0.2804453,-0.1894261,1,0.4059581690423063,-0.08272132247167828,"[0.004768142576183978, 0.9890055931347588, 7.01921215073838e-24, 0.006226264289055048, 2.2586070709381615e-15]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+2,48,0.37225774,-0.11562894,1,0.4059581690423063,-0.08272132247167828,"[0.001075750278301771, 0.9986386500368886, 9.171239006429417e-22, 0.0002855996848095593, 3.0461002108791314e-19]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+2,49,0.1460578,0.21914145,0,0.039475573310242464,-0.0014300409927484566,"[0.9831608357001936, 1.5173821444669282e-07, 0.0168364105759333, 3.937585908819002e-09, 2.5980480728663684e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+2,50,0.07159563,-0.024327766,0,0.039475573310242464,-0.0014300409927484566,"[0.994929914090201, 0.00028165881045783214, 5.15834411956318e-10, 0.0046666565483020565, 0.000121770035204639]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+2,51,-0.078428976,-0.18954016,3,-0.12913824906450408,-0.2905951095692693,"[0.4265540391373894, 7.857626257829334e-05, 4.939473030333986e-16, 0.5670245091048298, 0.006342875495201936]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+2,52,-0.23586994,0.37846398,2,-0.09406398144692839,0.3336498750304647,"[3.0242551325855e-06, 5.720328488717381e-28, 0.9999306482212927, 1.3174117616114547e-23, 6.632752357474974e-05]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+2,53,-0.15925287,-0.015642455,4,-0.21923645191953092,-0.005304814234146388,"[0.136759749788367, 2.6626136632417807e-10, 5.292598728423496e-07, 9.906983209917263e-05, 0.8631406508533997]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+2,54,0.38273144,-0.19184409,1,0.4059581690423063,-0.08272132247167828,"[0.00016746255721553763, 0.999641308116767, 4.8333452498584776e-27, 0.00019122932601760295, 2.7513570955409645e-21]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+2,55,-0.029614072,-0.05991212,0,0.039475573310242464,-0.0014300409927484566,"[0.9666258632998229, 1.0146894942567364e-05, 4.5545495037298503e-10, 0.01332292723240976, 0.020041062117369893]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+2,56,-0.041920777,-0.1336057,0,0.039475573310242464,-0.0014300409927484566,"[0.7993950083190501, 9.241467603949222e-05, 1.8398421252231383e-13, 0.19246306317011685, 0.0080495138346095]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+2,57,-0.05421332,-0.22073112,3,-0.12913824906450408,-0.2905951095692693,"[0.24526720640214125, 0.00037912910583828716, 2.020448286169874e-18, 0.7537771514051125, 0.0005765130869080015]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+2,58,-0.19589648,0.09422963,4,-0.21923645191953092,-0.005304814234146388,"[0.02295628940445671, 1.4575930922686406e-14, 0.002791922732283742, 1.398575597521975e-08, 0.974251773877489]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+2,59,0.09615892,0.18102637,0,0.039475573310242464,-0.0014300409927484566,"[0.9939355343264519, 7.457022391443123e-08, 0.005974957988387666, 3.550740977113747e-08, 8.939760752669854e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+2,60,-0.013711061,-0.07216554,0,0.039475573310242464,-0.0014300409927484566,"[0.9681371154299651, 3.589625545913103e-05, 7.130347081465145e-11, 0.024326490386130144, 0.007500497857142351]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+2,61,0.49365819,-0.019841706,1,0.4059581690423063,-0.08272132247167828,"[0.00014525870479059687, 0.9998518016008492, 2.2180389250980566e-19, 2.9396943601156224e-06, 2.122219727463523e-25]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+2,62,-0.096782275,0.2680031,2,-0.09406398144692839,0.3336498750304647,"[0.005866652624733592, 3.359702378958323e-17, 0.9856302178142214, 1.4836390907208402e-14, 0.008503129561030229]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+2,63,-0.07022652,-0.30347943,3,-0.12913824906450408,-0.2905951095692693,"[0.06274671779286695, 0.0006762467420589688, 1.184168661596096e-23, 0.936549672686962, 2.7362778112102613e-05]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+2,64,-0.08510746,-0.26066056,3,-0.12913824906450408,-0.2905951095692693,"[0.11811432857310435, 0.00018851166075680475, 1.6944241685420966e-20, 0.8813424897608213, 0.0003546700053175889]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+2,65,-0.00251228,0.3769304,2,-0.09406398144692839,0.3336498750304647,"[0.0011370156887090057, 1.9334800483174207e-18, 0.9988555404278939, 4.98446157533257e-19, 7.443883397076809e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+2,66,0.42614552,0.08994585,1,0.4059581690423063,-0.08272132247167828,"[0.03980257320039931, 0.960190888033912, 2.4088716438010765e-11, 6.538741599999649e-06, 4.846387754784801e-19]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+2,67,0.25132486,-0.20319358,1,0.4059581690423063,-0.08272132247167828,"[0.00934815838127131, 0.9745346700891311, 6.170821294764683e-24, 0.016117171529553727, 4.3650583108704646e-14]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+2,68,-0.18157998,0.03947093,4,-0.21923645191953092,-0.005304814234146388,"[0.045869719178785934, 1.465262079700161e-12, 4.874704742230896e-05, 1.1543727600560028e-06, 0.9540803793995662]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+2,69,-0.12251995,-0.049827244,4,-0.21923645191953092,-0.005304814234146388,"[0.4531087676735577, 3.124722597448691e-08, 1.732490709062673e-08, 0.0023822649411245522, 0.5445089188131846]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+2,70,-0.18423451,0.25213403,2,-0.09406398144692839,0.3336498750304647,"[0.0009796993362744789, 6.00950955066306e-20, 0.972619840087881, 2.5977728586711945e-15, 0.026400460575841816]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+2,71,-0.04843812,0.4040603,2,-0.09406398144692839,0.3336498750304647,"[0.00018506692686597729, 2.2890926584605908e-21, 0.999807682929163, 2.137602863615527e-21, 7.2501439709377115e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+2,72,0.25011468,-0.18353273,1,0.4059581690423063,-0.08272132247167828,"[0.01510484488277155, 0.9666113546046534, 1.4464071484495505e-22, 0.018283800512446467, 1.2865386155907796e-13]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+2,73,0.24778247,-0.18444899,1,0.4059581690423063,-0.08272132247167828,"[0.016001570910928232, 0.9642413974912288, 1.4764738211309897e-22, 0.0197570315976791, 1.6368814546070104e-13]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+2,74,-0.17648138,-0.41862112,3,-0.12913824906450408,-0.2905951095692693,"[0.017564500232216545, 8.092343292663879e-05, 9.453209040113593e-30, 0.9823485744273941, 6.0019074626122585e-06]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+2,75,-0.16704087,-0.3598848,3,-0.12913824906450408,-0.2905951095692693,"[0.02554738023554951, 3.261997012913786e-05, 8.455697518787752e-26, 0.9743607168359676, 5.928295835384507e-05]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+2,76,0.61073065,0.018717432,1,0.4059581690423063,-0.08272132247167828,"[6.358428009654109e-06, 0.999993593550662, 2.5559783684499308e-20, 4.802132840511548e-08, 3.5911731847484946e-33]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+2,77,-0.07488669,0.3827278,2,-0.09406398144692839,0.3336498750304647,"[0.00016712937592849124, 1.6011287207791974e-21, 0.9998044095021752, 1.0614729348185879e-20, 2.8461121896292746e-05]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+2,78,0.022653038,0.24370801,2,-0.09406398144692839,0.3336498750304647,"[0.3456766897516464, 1.2803637515941766e-11, 0.6521339751537194, 4.01495997637833e-11, 0.0021893350416809926]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+2,79,0.24368975,0.18879418,0,0.039475573310242464,-0.0014300409927484566,"[0.9996995642537556, 0.00011363138252998846, 0.00018669635089462087, 1.068179927670731e-07, 1.194826970864748e-09]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+2,80,-0.16938657,-0.05973538,4,-0.21923645191953092,-0.005304814234146388,"[0.1748456223855042, 1.7495688647637605e-09, 1.4204267935172173e-08, 0.0011272570613687248, 0.8240271045992903]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+2,81,-0.25151917,-0.28693447,3,-0.12913824906450408,-0.2905951095692693,"[0.06327494063864136, 2.0140553644156779e-07, 3.363668972251565e-19, 0.924490882449458, 0.012233975506364271]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+2,82,0.04577409,-0.24324691,3,-0.12913824906450408,-0.2905951095692693,"[0.17246996961967656, 0.029145073549320496, 1.2579872236323936e-21, 0.798383818792796, 1.1380382068667375e-06]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+2,83,-0.22563006,-0.049784996,4,-0.21923645191953092,-0.005304814234146388,"[0.04307048078353972, 1.3642431337081415e-11, 7.747795051176544e-08, 0.00011913338371583164, 0.9568103083411515]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+2,84,-0.20074943,0.040258985,4,-0.21923645191953092,-0.005304814234146388,"[0.028389197313597403, 2.949672757534424e-13, 6.309110787926133e-05, 5.714056080422062e-07, 0.9715471401726203]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+2,85,-0.1496939,0.30529067,2,-0.09406398144692839,0.3336498750304647,"[0.0002885956387610506, 4.420066259804819e-21, 0.99781915360278, 1.0068416539741652e-17, 0.0018922507584588418]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+2,86,0.2630342,0.051892787,0,0.039475573310242464,-0.0014300409927484566,"[0.9203500047849309, 0.0792980561303378, 1.6959746910254549e-09, 0.0003519372690597592, 1.196968865137672e-10]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+2,87,0.61719507,-0.024593957,1,0.4059581690423063,-0.08272132247167828,"[2.2203662667210328e-06, 0.999997713270425, 6.130385839203502e-23, 6.636330839594962e-08, 2.8921521138852266e-34]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+2,88,-0.14552048,-0.15470643,0,0.039475573310242464,-0.0014300409927484566,"[0.5608640708206777, 1.265431261614317e-06, 6.261088885444142e-13, 0.2136629561005151, 0.22547170764691965]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+2,89,0.004352061,-0.07103703,0,0.039475573310242464,-0.0014300409927484566,"[0.9717347349025288, 7.98487719144828e-05, 4.215429821298285e-11, 0.02519784207661062, 0.0029875742067919423]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+2,90,-0.31772932,0.41427824,2,-0.09406398144692839,0.3336498750304647,"[1.7468270535689486e-07, 4.624998460667027e-33, 0.9999938312917651, 2.637067452940727e-27, 5.9940255294267965e-06]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+2,91,-0.118134014,0.26676714,2,-0.09406398144692839,0.3336498750304647,"[0.003409160268867902, 5.479186239945597e-18, 0.9856478585710803, 6.898823759349765e-15, 0.01094298116004486]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+2,92,-0.19037005,0.30377576,2,-0.09406398144692839,0.3336498750304647,"[9.865375000317971e-05, 1.121316411640553e-22, 0.997857223008955, 1.978593721942353e-18, 0.0020441232410419855]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+2,93,-0.18803668,0.09546091,4,-0.21923645191953092,-0.005304814234146388,"[0.0277384806354432, 2.5978271466186208e-14, 0.002832114589904731, 1.6898847307547048e-08, 0.9694293878757788]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+2,94,0.32727078,-0.11709024,1,0.4059581690423063,-0.08272132247167828,"[0.004975852468924192, 0.9936838693126712, 1.566282838532476e-20, 0.001340278218404488, 1.3556485339624732e-16]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+2,95,0.3095995,0.5030761,2,-0.09406398144692839,0.3336498750304647,"[0.03557554978157922, 5.6824701608473075e-12, 0.9644244502127353, 1.3783923673135096e-20, 2.8818608000840868e-15]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+2,96,-0.26364937,-0.38828564,3,-0.12913824906450408,-0.2905951095692693,"[0.01413837926221077, 8.986299085767119e-07, 5.519665111092896e-26, 0.9857489438429948, 0.00011177826488577164]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+2,97,-0.25224024,-0.31188005,3,-0.12913824906450408,-0.2905951095692693,"[0.039796150410519926, 3.0696963752663507e-07, 6.905092277432929e-21, 0.9566086090080407, 0.0035949336118018074]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+2,98,-0.30068702,-0.14781809,4,-0.21923645191953092,-0.005304814234146388,"[0.0687396093112248, 5.343662862654224e-11, 9.14319520862814e-11, 0.011867330242027062, 0.9193930603018796]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+2,99,-0.09486352,0.005280091,0,0.039475573310242464,-0.0014300409927484566,"[0.5399216711664923, 1.1080029585200955e-08, 1.4356773993343255e-06, 0.00020120136132984888, 0.45987568071474905]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+3,0,0.08799766,-0.06060414,0,-0.021818669456215873,-0.028750621731858213,"[0.993771662800881, 0.0025016615733903552, 1.7438575686744914e-11, 0.003726675603356284, 4.9334968875397585e-12]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+3,1,-0.08406016,0.2851326,2,-0.09314563798165282,0.33283001926748096,"[0.0016733795750339827, 3.000808886939506e-17, 0.9971294611521164, 3.983171292190358e-32, 0.001197159272849617]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+3,2,-0.16364236,-0.11411294,0,-0.021818669456215873,-0.028750621731858213,"[0.9759540344325401, 3.480006469829945e-08, 1.3929676229975118e-10, 4.9193223251769097e-05, 0.02399673740484677]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+3,3,0.07371062,-0.27021888,3,-0.08980835503411871,-0.2976746221090999,"[0.02144780554164734, 0.05455625745180626, 1.811323235545678e-23, 0.9239959370065464, 1.76300222394954e-19]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+3,4,-0.1284643,0.3103237,2,-0.09314563798165282,0.33283001926748096,"[0.0001359674415442492, 3.813999250138418e-20, 0.9994067670373502, 2.5992704284274856e-37, 0.0004572655211055619]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+3,5,-0.23808402,0.26056772,2,-0.09314563798165282,0.33283001926748096,"[6.483944443486991e-05, 2.321858700613881e-22, 0.9977483012314676, 4.132532717429214e-37, 0.0021868593240975975]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+3,6,-0.10493148,-0.30384988,3,-0.08980835503411871,-0.2976746221090999,"[0.05538531606234793, 7.569379902660727e-05, 1.4735119117497267e-22, 0.9445389899682625, 1.703628454578567e-10]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+3,7,-0.295713,-0.42771262,3,-0.08980835503411871,-0.2976746221090999,"[0.0365959486284253, 1.4485262344662717e-07, 1.2317011390765834e-27, 0.9634039019635671, 4.555384098302213e-09]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+3,8,-0.3188932,-0.023905918,4,-0.23827357807955385,0.015330147288842468,"[0.03935788697820266, 1.9851460902825308e-15, 6.592410281439108e-06, 2.3632299639067007e-14, 0.9606355206114903]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+3,9,0.52375084,0.03593809,1,0.4100005811865301,-0.07971517569033945,"[0.00011501647465854207, 0.9998251512373487, 1.3681862745281808e-16, 5.983228799254427e-05, 3.507910206854737e-53]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+3,10,-0.24769914,0.06194072,4,-0.23827357807955385,0.015330147288842468,"[0.01652047387440431, 1.139213346861057e-15, 0.0005193929954225899, 1.892457419483475e-18, 0.982960133130172]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+3,11,0.45866024,0.07679337,1,0.4100005811865301,-0.07971517569033945,"[0.005705980061163481, 0.9942518445812905, 1.198426617179299e-12, 4.217535634778559e-05, 2.1265393171655177e-42]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+3,12,-0.21952832,-0.2596673,0,-0.021818669456215873,-0.028750621731858213,"[0.7138428941585161, 4.035076245628944e-07, 2.4929565709668386e-17, 0.2859415218989385, 0.00021518043492072962]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+3,13,0.5387558,-0.021885695,1,0.4100005811865301,-0.07971517569033945,"[9.845183215721587e-06, 0.9999072042069748, 3.609089067240402e-20, 8.295060980963218e-05, 2.028623849851483e-58]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+3,14,-0.31746334,-0.03755091,4,-0.23827357807955385,0.015330147288842468,"[0.04927962589006659, 5.245389988271912e-15, 2.1804028762017816e-06, 2.1737164988948009e-13, 0.9507181937068346]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+3,15,0.21572201,0.15297481,0,-0.021818669456215873,-0.028750621731858213,"[0.9997754093299166, 0.00018030676393635615, 4.4283757727165995e-05, 1.484192525091706e-10, 6.871984700486052e-16]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+3,16,-0.17784788,-0.16018736,0,-0.021818669456215873,-0.028750621731858213,"[0.9917897910964747, 1.0881385532620241e-07, 1.3970423824975271e-12, 0.0016436614567810835, 0.006566438631491905]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+3,17,0.12485067,-0.17534988,3,-0.08980835503411871,-0.2976746221090999,"[0.1121947013131278, 0.11762990816516515, 2.5219751689830354e-18, 0.7701753905217071, 7.033507473375178e-19]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+3,18,-0.045080878,-0.32160506,3,-0.08980835503411871,-0.2976746221090999,"[0.02439050282236457, 0.0012341005092974925, 8.697041971178047e-25, 0.974375396668309, 2.8989663426674406e-14]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+3,19,-0.29219365,-0.1354431,4,-0.23827357807955385,0.015330147288842468,"[0.45458149542012877, 2.1083955142509615e-11, 4.0239914165031277e-10, 9.401850707205986e-07, 0.5454175639713175]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+3,20,0.22983314,0.005944166,0,-0.021818669456215873,-0.028750621731858213,"[0.8640094258282316, 0.13449916434720963, 1.6191005502087765e-10, 0.0014914096626486109, 2.3665528877197037e-20]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+3,21,-0.2313607,0.15489271,4,-0.23827357807955385,0.015330147288842468,"[0.009863590144714877, 1.6736721172875307e-17, 0.1980600163531629, 3.1908526277715646e-25, 0.7920763935021223]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+3,22,0.44196302,-0.22339565,1,0.4100005811865301,-0.07971517569033945,"[6.569928740609004e-07, 0.9999783858885909, 5.3325697050848065e-30, 2.0957118534852716e-05, 9.597197809785257e-57]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+3,23,0.31953293,-0.23248373,1,0.4100005811865301,-0.07971517569033945,"[4.211367924738491e-05, 0.9975905635471246, 3.2668757204557336e-27, 0.0023673227736280772, 1.311763231685419e-41]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+3,24,0.0025802255,-0.08199731,0,-0.021818669456215873,-0.028750621731858213,"[0.9986543582598367, 7.880206873446642e-05, 2.4893898455243172e-11, 0.0012667629227276157, 7.672380742056689e-08]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+3,25,0.023439856,-0.079839304,0,-0.021818669456215873,-0.028750621731858213,"[0.9976569576650285, 0.00021116305888600138, 1.6636020014525046e-11, 0.002131871708979866, 7.550469576566966e-09]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+3,26,-0.06371302,0.3954228,2,-0.09314563798165282,0.33283001926748096,"[2.5900065942041327e-05, 3.6750550656024025e-21, 0.9999722873111625, 4.649406970397444e-44, 1.8126228954264717e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+3,27,-0.2963673,0.015343715,4,-0.23827357807955385,0.015330147288842468,"[0.021302094236399595, 6.695326774793056e-16, 6.038953514239446e-05, 1.560008560108638e-16, 0.9786375162284573]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+3,28,0.08612508,0.3898904,2,-0.09314563798165282,0.33283001926748096,"[0.0019120022307325978, 3.146840168433315e-15, 0.9980879949741536, 1.6153565250408798e-35, 2.795110765786301e-09]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+3,29,-0.20296153,0.2345368,2,-0.09314563798165282,0.33283001926748096,"[0.0007641258875821134, 1.15223014210687e-19, 0.9689565386171872, 3.071750942408017e-32, 0.030279335495230587]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+3,30,-0.3021013,-0.23802479,0,-0.021818669456215873,-0.028750621731858213,"[0.9698683885178974, 1.9713201938864394e-09, 7.81106604050533e-15, 0.010646200608938523, 0.019485408901836348]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+3,31,0.40233114,0.06031101,1,0.4100005811865301,-0.07971517569033945,"[0.028714024616983434, 0.9711433899969171, 6.43048079001913e-12, 0.0001425853796690691, 3.926824208857995e-36]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+3,32,-0.31179968,-0.050893012,4,-0.23827357807955385,0.015330147288842468,"[0.06293978165956092, 1.8089927145663285e-14, 6.43176680350209e-07, 2.31989043607733e-12, 0.9370595751614208]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+3,33,0.11298243,0.035079706,0,-0.021818669456215873,-0.028750621731858213,"[0.9998222765503767, 0.0001762905778645687, 6.806891026364932e-08, 1.3647776448075513e-06, 2.520367720360382e-11]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+3,34,-0.23456638,0.06657637,4,-0.23827357807955385,0.015330147288842468,"[0.018954663865528295, 2.371182650892907e-15, 0.0005763533421318547, 2.4502962052910727e-18, 0.9804689827923375]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+3,35,0.11017645,-0.16371755,3,-0.08980835503411871,-0.2976746221090999,"[0.2107536442110731, 0.0742610421589665, 2.82370506892523e-17, 0.7149853136299603, 3.486470304084178e-17]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+3,36,0.1429859,0.059452157,0,-0.021818669456215873,-0.028750621731858213,"[0.9997173610289704, 0.0002820460785521285, 2.3418885351298134e-07, 3.587025836414929e-07, 1.040270450019454e-12]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+3,37,-0.040502112,0.02318828,0,-0.021818669456215873,-0.028750621731858213,"[0.9993154421107434, 9.008809858359595e-08, 2.1062902277582676e-06, 4.416832972519068e-09, 0.0006823570940970755]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+3,38,-0.06471333,0.08954511,0,-0.021818669456215873,-0.028750621731858213,"[0.9648282927151248, 1.0611414643944547e-09, 0.0010503389493419335, 1.5397758158513172e-13, 0.0341213672742377]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+3,39,0.06407858,0.09707585,0,-0.021818669456215873,-0.028750621731858213,"[0.9999525777472607, 9.49522650309847e-07, 4.628531787646093e-05, 7.95845575363509e-11, 1.8733262821481235e-07]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+3,40,-0.021407472,0.09407413,0,-0.021818669456215873,-0.028750621731858213,"[0.9983917922444765, 1.0314416415883751e-08, 0.0004328668585482499, 1.0458484488459646e-12, 0.001175330581512829]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+3,41,-0.056248758,0.025906589,0,-0.021818669456215873,-0.028750621731858213,"[0.9971137199988381, 3.319140208682533e-08, 4.270019330402843e-06, 1.4274621899723128e-09, 0.002881975362967446]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+3,42,-0.15132618,0.02146309,4,-0.23827357807955385,0.015330147288842468,"[0.41801267593685004, 7.257617930290707e-11, 2.163832282731879e-05, 6.772046324980754e-12, 0.5819656856609744]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+3,43,-0.18518934,0.0027779788,4,-0.23827357807955385,0.015330147288842468,"[0.20146979319078478, 1.1178760238666148e-11, 5.634733067737173e-06, 6.220479877772125e-12, 0.7985245720587484]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+3,44,0.5118622,-0.024860546,1,0.4100005811865301,-0.07971517569033945,"[2.292220973954828e-05, 0.9998241271638884, 1.247839140346941e-19, 0.00015295062637219137, 8.786310268445867e-55]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+3,45,-0.0018669573,0.3644946,2,-0.09314563798165282,0.33283001926748096,"[0.00046343085593413496, 1.6794205361716953e-17, 0.99953519388507, 4.276663537564311e-37, 1.3752589959717285e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+3,46,-0.24925767,0.015651966,4,-0.23827357807955385,0.015330147288842468,"[0.0307454894321775, 1.855975443362158e-14, 2.0105362237733852e-05, 3.897227508005893e-15, 0.9692344052055623]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+3,47,0.2804453,-0.1894261,1,0.4100005811865301,-0.07971517569033945,"[0.0007074169398840399, 0.9662357733344854, 3.314083683358694e-23, 0.03305680972563043, 1.2839701862797701e-34]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+3,48,0.37225774,-0.11562894,1,0.4100005811865301,-0.07971517569033945,"[0.00020829608818265339, 0.9951322321918254, 3.651222390025177e-21, 0.004659471719992058, 2.0936234816806206e-41]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+3,49,0.1460578,0.21914145,0,-0.021818669456215873,-0.028750621731858213,"[0.97705674396034, 2.508711213642999e-07, 0.02294300495018471, 1.5798538048592172e-16, 2.1835362372471987e-10]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+3,50,0.07159563,-0.024327766,0,-0.021818669456215873,-0.028750621731858213,"[0.9996466835925062, 0.0002581185475319182, 9.90279967212312e-10, 9.519651266539062e-05, 3.5701659349404077e-10]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+3,51,-0.078428976,-0.18954016,0,-0.021818669456215873,-0.028750621731858213,"[0.8104415156653859, 6.479765996442467e-05, 1.6622778984199324e-15, 0.1894931508926157, 5.357820323801641e-07]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+3,52,-0.23586994,0.37846398,2,-0.09314563798165282,0.33283001926748096,"[3.4045865557573095e-07, 1.5593845910103187e-27, 0.9999990077202731, 1.0477305871959699e-51, 6.518210713304451e-07]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+3,53,-0.15925287,-0.015642455,0,-0.021818669456215873,-0.028750621731858213,"[0.5759800032140536, 3.468627309588474e-10, 1.3348217355525896e-06, 7.638792414503074e-10, 0.42401866085346884]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+3,54,0.38273144,-0.19184409,1,0.4100005811865301,-0.07971517569033945,"[1.322522367204141e-05, 0.9992245510376467, 2.649864284866885e-26, 0.0007622237386812426, 4.915725859459646e-47]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+3,55,-0.029614072,-0.05991212,0,-0.021818669456215873,-0.028750621731858213,"[0.9999304323304884, 5.868548412705813e-06, 6.180965853962075e-10, 5.627537638215327e-05, 7.423126620355302e-06]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+3,56,-0.041920777,-0.1336057,0,-0.021818669456215873,-0.028750621731858213,"[0.9836485593038656, 6.019947631706383e-05, 3.844395646756392e-13, 0.01629073380461643, 5.074148165940745e-07]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+3,57,-0.05421332,-0.22073112,3,-0.08980835503411871,-0.2976746221090999,"[0.33230720857888013, 0.00030251996259678495, 7.530250476481204e-18, 0.6673902689770644, 2.481458628917148e-09]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+3,58,-0.19589648,0.09422963,4,-0.23827357807955385,0.015330147288842468,"[0.03211967105446812, 1.1310787734908149e-14, 0.002629592886227356, 6.063856550881138e-19, 0.9652507360592931]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+3,59,0.09615892,0.18102637,0,-0.021818669456215873,-0.028750621731858213,"[0.9919451530519011, 1.0921659320633659e-07, 0.00805468664879965, 2.848669249663042e-15, 5.108270318442113e-08]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+3,60,-0.013711061,-0.07216554,0,-0.021818669456215873,-0.028750621731858213,"[0.9996665845119539, 2.259774496438196e-05, 1.1131666261189314e-10, 0.0003100407819141586, 7.76849850762224e-07]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+3,61,0.49365819,-0.019841706,1,0.4100005811865301,-0.07971517569033945,"[5.188915464223827e-05, 0.9997261991744345, 7.352177435390481e-19, 0.00022191167092323844, 5.407419697727909e-52]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+3,62,-0.096782275,0.2680031,2,-0.09314563798165282,0.33283001926748096,"[0.0028129887953694476, 5.766766768837249e-17, 0.9931810571333469, 8.304305981664867e-31, 0.004005954071283593]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+3,63,-0.07022652,-0.30347943,3,-0.08980835503411871,-0.2976746221090999,"[0.039280739058632205, 0.00030814395118191875, 3.6236683531526245e-23, 0.9604111169866186, 3.567192392889198e-12]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+3,64,-0.08510746,-0.26066056,3,-0.08980835503411871,-0.2976746221090999,"[0.1439344603269925, 0.00011608637013210318, 5.814405059605696e-20, 0.8559494517531048, 1.5497706197045797e-09]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+3,65,-0.00251228,0.3769304,2,-0.09314563798165282,0.33283001926748096,"[0.0002798684131094095, 4.921372532085912e-18, 0.9997193643062658, 1.412037128556633e-38, 7.672806246157516e-07]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+3,66,0.42614552,0.08994585,1,0.4100005811865301,-0.07971517569033945,"[0.03318102565302193, 0.9667873694243958, 4.720123904639446e-11, 3.1604875380985734e-05, 1.1353801343060365e-37]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+3,67,0.25132486,-0.20319358,1,0.4100005811865301,-0.07971517569033945,"[0.0014350208179270845, 0.9294452589223291, 2.927048218892838e-23, 0.06911972025974386, 3.7712175087404043e-32]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+3,68,-0.18157998,0.03947093,4,-0.23827357807955385,0.015330147288842468,"[0.11190161609622039, 1.3652766625294664e-12, 6.958255273883791e-05, 2.536172296440007e-14, 0.8880288013496502]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+3,69,-0.12251995,-0.049827244,0,-0.021818669456215873,-0.028750621731858213,"[0.9742289443324327, 2.2433809214338193e-08, 2.7794590165133907e-08, 4.099369298417876e-07, 0.025770595502238338]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+3,70,-0.18423451,0.25213403,2,-0.09314563798165282,0.33283001926748096,"[0.0005068937882899211, 9.821854813246811e-20, 0.9866185635296563, 2.4376770983913e-33, 0.012874542682053732]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+3,71,-0.04843812,0.4040603,2,-0.09314563798165282,0.33283001926748096,"[2.9375985840106078e-05, 6.656032106185322e-21, 0.9999697891540134, 2.8570433851740225e-44, 8.348601464810835e-07]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+3,72,0.25011468,-0.18353273,1,0.4100005811865301,-0.07971517569033945,"[0.0027485433898832763, 0.8998908963091089, 6.171966494757952e-22, 0.09736056030100784, 5.832768615140393e-31]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+3,73,0.24778247,-0.18444899,1,0.4100005811865301,-0.07971517569033945,"[0.0029185725875108906, 0.8937094128746674, 6.282637126615313e-22, 0.1033720145378217, 9.265398014862282e-31]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+3,74,-0.17648138,-0.41862112,3,-0.08980835503411871,-0.2976746221090999,"[0.02489245241755768, 4.297455490880615e-05, 5.835915476425148e-29, 0.975064573023326, 4.207368938510257e-12]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+3,75,-0.16704087,-0.3598848,3,-0.08980835503411871,-0.2976746221090999,"[0.03380135674404521, 1.3092820207416035e-05, 3.010160338836399e-25, 0.9661855501083374, 3.274100484462351e-10]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+3,76,0.61073065,0.018717432,1,0.4100005811865301,-0.07971517569033945,"[3.214789458750424e-06, 0.9999810368266262, 9.187856289844224e-20, 1.5748383915131994e-05, 9.169718858297292e-67]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+3,77,-0.07488669,0.3827278,2,-0.09314563798165282,0.33283001926748096,"[2.9965725271250784e-05, 4.3239377263509084e-21, 0.9999656530755227, 3.960526673888982e-43, 4.381199206053597e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+3,78,0.022653038,0.24370801,2,-0.09314563798165282,0.33283001926748096,"[0.24596439514392807, 2.1731604173392486e-11, 0.7539408809971843, 1.09083921869753e-22, 9.472383715602714e-05]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+3,79,0.24368975,0.18879418,0,-0.021818669456215873,-0.028750621731858213,"[0.9996110774489823, 0.00014457221422316412, 0.0002443503315415421, 5.253037689240233e-12, 2.516212641088401e-17]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+3,80,-0.16938657,-0.05973538,0,-0.021818669456215873,-0.028750621731858213,"[0.7752204331426235, 1.875353648273573e-09, 3.57500996372388e-08, 1.1516169092504677e-07, 0.22477941407023225]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+3,81,-0.25151917,-0.28693447,0,-0.021818669456215873,-0.028750621731858213,"[0.5585067342808266, 1.4956137502975305e-07, 1.6660884196258206e-18, 0.4413399006531129, 0.00015321550468542236]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+3,82,0.04577409,-0.24324691,3,-0.08980835503411871,-0.2976746221090999,"[0.046447246189282344, 0.012958924832809438, 2.917983981787534e-21, 0.940593828977908, 2.430475565883388e-16]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+3,83,-0.22563006,-0.049784996,4,-0.23827357807955385,0.015330147288842468,"[0.200649843091669, 1.1132807641076484e-11, 1.4448766189026925e-07, 6.120475328156303e-10, 0.7993500117974887]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+3,84,-0.20074943,0.040258985,4,-0.23827357807955385,0.015330147288842468,"[0.06035865889361944, 2.214436581646725e-13, 7.259234906404098e-05, 3.85084444601598e-15, 0.9395687487570913]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+3,85,-0.1496939,0.30529067,2,-0.09314563798165282,0.33283001926748096,"[9.308403244872649e-05, 8.883069577494464e-21, 0.9993024722064389, 7.984131753015393e-38, 0.0006044437611123116]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+3,86,0.2630342,0.051892787,0,-0.021818669456215873,-0.028750621731858213,"[0.8962718547354213, 0.10363988838611937, 3.991406052116139e-09, 8.825288705336813e-05, 7.989303043883875e-22]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+3,87,0.61719507,-0.024593957,1,0.4100005811865301,-0.07971517569033945,"[6.676799338709402e-07, 0.9999863810556008, 2.623801201573987e-22, 1.2951264465331298e-05, 3.180580397650055e-70]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+3,88,-0.14552048,-0.15470643,0,-0.021818669456215873,-0.028750621731858213,"[0.995726446047694, 5.332747702829434e-07, 9.331313157248846e-13, 0.003138353149382285, 0.0011346675272205994]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+3,89,0.004352061,-0.07103703,0,-0.021818669456215873,-0.028750621731858213,"[0.9994097667308863, 5.54320927304346e-05, 7.25615127671114e-11, 0.00053468770218559, 1.13401635991209e-07]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+3,90,-0.31772932,0.41427824,2,-0.09314563798165282,0.33283001926748096,"[8.864503860136217e-09, 1.444050889776947e-32, 0.9999999907308856, 1.918867594987872e-61, 4.046104621313463e-10]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+3,91,-0.118134014,0.26676714,2,-0.09314563798165282,0.33283001926748096,"[0.0016157819235845046, 9.39561056833593e-18, 0.9926441891209394, 1.017320586990465e-31, 0.005740028955475998]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+3,92,-0.19037005,0.30377576,2,-0.09314563798165282,0.33283001926748096,"[3.036212412613686e-05, 2.245924153038743e-22, 0.9995624977887231, 8.503134635653529e-40, 0.0004071400871507968]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+3,93,-0.18803668,0.09546091,4,-0.23827357807955385,0.015330147288842468,"[0.039459539174034206, 2.1239670681934535e-14, 0.0027921658139297974, 1.031448135025748e-18, 0.957748295012015]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+3,94,0.32727078,-0.11709024,1,0.4100005811865301,-0.07971517569033945,"[0.001147038805255491, 0.9821049690383007, 5.88000799291552e-20, 0.016747992156443778, 4.446478700322937e-36]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+3,95,0.3095995,0.5030761,2,-0.09314563798165282,0.33283001926748096,"[0.020287431479819363, 1.682454438162306e-11, 0.979712568503356, 6.509796476781729e-37, 3.1564567506277428e-21]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+3,96,-0.26364937,-0.38828564,3,-0.08980835503411871,-0.2976746221090999,"[0.04828445800094335, 2.8102310548432915e-07, 1.8445982892398311e-25, 0.9517152340170714, 2.6958879656952376e-08]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+3,97,-0.25224024,-0.31188005,3,-0.08980835503411871,-0.2976746221090999,"[0.2938122129762956, 1.9584482060148323e-07, 3.2926442759488255e-20, 0.7061697686273171, 1.7822551566657476e-05]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+3,98,-0.30068702,-0.14781809,0,-0.021818669456215873,-0.028750621731858213,"[0.5331091140292398, 2.5434892982166826e-11, 1.5982746516091763e-10, 2.6958823509015624e-06, 0.46688818990314707]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+3,99,-0.09486352,0.005280091,0,-0.021818669456215873,-0.028750621731858213,"[0.9724880212092724, 9.310106439189021e-09, 2.128454266918752e-06, 2.5455329461999783e-09, 0.027509838480821263]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+4,0,0.08799766,-0.06060414,0,0.022002823621960012,0.011982012383780619,"[0.835265405917977, 0.007043754092413252, 2.270402694147464e-11, 0.1576907983046452, 4.166226047683032e-08]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+4,1,-0.08406016,0.2851326,2,-0.09286438524081729,0.3325912822507842,"[0.0013764216673406897, 9.815314657962176e-16, 0.9971187974365787, 2.673342237430185e-10, 0.0015047806287455355]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+4,2,-0.16364236,-0.11411294,0,0.022002823621960012,0.011982012383780619,"[0.6354488134256326, 7.040996648919457e-07, 2.4200147066813154e-10, 0.15642490309004103, 0.20812557914265975]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+4,3,0.07371062,-0.27021888,3,-0.11250871852438807,-0.26511987761854267,"[0.011611366271215584, 0.1598141758466782, 4.7981009505603275e-23, 0.8285744578811556, 9.506957120180083e-13]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+4,4,-0.1284643,0.3103237,2,-0.09286438524081729,0.3325912822507842,"[0.00010398217443770994, 2.2381487271579676e-18, 0.9992802220554959, 5.207753749201714e-12, 0.0006157957648585451]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+4,5,-0.23808402,0.26056772,2,-0.09286438524081729,0.3325912822507842,"[4.794178996966557e-05, 3.906573136782481e-20, 0.9952521180395827, 9.736067899914437e-12, 0.004699940160711392]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+4,6,-0.10493148,-0.30384988,3,-0.11250871852438807,-0.26511987761854267,"[0.014918150943803294, 0.0004940280587597797, 3.3480367494284523e-22, 0.984587396395633, 4.24601803999557e-07]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+4,7,-0.295713,-0.42771262,3,-0.11250871852438807,-0.26511987761854267,"[0.0023645945655625393, 3.0250120501063866e-06, 3.5093300270522354e-27, 0.9976318158689285, 5.645534588703232e-07]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+4,8,-0.3188932,-0.023905918,4,-0.23105006495703093,0.004980115108258148,"[0.019795457462015758, 2.356546472954355e-13, 8.007765466593468e-06, 0.0001072222391621153, 0.9800893125331199]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+4,9,0.52375084,0.03593809,1,0.39934755792821813,-0.08313946577123288,"[0.0001120105926973836, 0.9998797329427499, 1.9352499423855181e-16, 8.256464552484382e-06, 4.757964008459437e-38]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+4,10,-0.24769914,0.06194072,4,-0.23105006495703093,0.004980115108258148,"[0.013289693719706034, 9.907383540589101e-14, 0.0006645671222266175, 5.676187124684784e-06, 0.9860400629708436]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+4,11,0.45866024,0.07679337,1,0.39934755792821813,-0.08313946577123288,"[0.005675865324836471, 0.9942498145313629, 1.5418935423421596e-12, 7.432014225895384e-05, 1.634255460421346e-30]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+4,12,-0.21952832,-0.2596673,3,-0.11250871852438807,-0.26511987761854267,"[0.08068760564172067, 3.227565788708422e-06, 2.1534680927026892e-17, 0.916931236805809, 0.00237792998668178]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+4,13,0.5387558,-0.021885695,1,0.39934755792821813,-0.08313946577123288,"[9.070233166765475e-06, 0.9999860992766383, 5.372329027253755e-20, 4.8304901950020226e-06, 2.2280791686607822e-41]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+4,14,-0.31746334,-0.03755091,4,-0.23105006495703093,0.004980115108258148,"[0.024054732904616363, 5.794558824392011e-13, 2.7106139194125547e-06, 0.00020708731702787805, 0.9757354691638569]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+4,15,0.21572201,0.15297481,0,0.022002823621960012,0.011982012383780619,"[0.999345720353401, 0.00038165694469570845, 4.6552710585381576e-05, 0.0002260699836955244, 7.622451115337738e-12]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+4,16,-0.17784788,-0.16018736,0,0.022002823621960012,0.011982012383780619,"[0.48435686742188583, 1.9860621660576297e-06, 2.4147868978607085e-12, 0.43655680894957144, 0.07908433756396183]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+4,17,0.12485067,-0.17534988,3,-0.11250871852438807,-0.26511987761854267,"[0.08767572091250672, 0.2824754872712697, 5.029100569054898e-18, 0.6298487918142919, 1.931662787977475e-12]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+4,18,-0.045080878,-0.32160506,3,-0.11250871852438807,-0.26511987761854267,"[0.007059115598839941, 0.005471352908643295, 2.1924557022039557e-24, 0.9874695297906828, 1.701834099404515e-09]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+4,19,-0.29219365,-0.1354431,4,-0.23105006495703093,0.004980115108258148,"[0.15404182537794384, 1.070544426935655e-09, 5.354796234131024e-10, 0.03423294667347756, 0.8117252263425546]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+4,20,0.22983314,0.005944166,0,0.022002823621960012,0.011982012383780619,"[0.7743529988591161, 0.19004641594393998, 1.7784491509240174e-10, 0.03560058501906319, 3.5691259654260407e-14]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+4,21,-0.2313607,0.15489271,4,-0.23105006495703093,0.004980115108258148,"[0.007694076571732504, 1.5821469021340934e-15, 0.20579738598349714, 1.1392371043351487e-07, 0.7865084235210582]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+4,22,0.44196302,-0.22339565,1,0.39934755792821813,-0.08313946577123288,"[4.056503808073664e-07, 0.9999495922642575, 1.0399077506391161e-29, 5.000208536155434e-05, 8.374040127922952e-39]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+4,23,0.31953293,-0.23248373,1,0.39934755792821813,-0.08313946577123288,"[2.3384516120875664e-05, 0.9978933850137376, 5.911210127682061e-27, 0.0020832304701415495, 2.919862186409756e-28]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+4,24,0.0025802255,-0.08199731,0,0.022002823621960012,0.011982012383780619,"[0.8110766965547574, 0.0004025877867972217, 3.661850844280337e-11, 0.18848437291757122, 3.634270425549764e-05]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+4,25,0.023439856,-0.079839304,0,0.022002823621960012,0.011982012383780619,"[0.8033756191911728, 0.0009068812631313657, 2.3549495024149307e-11, 0.1957102419984812, 7.257523665266267e-06]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+4,26,-0.06371302,0.3954228,2,-0.09286438524081729,0.3325912822507842,"[1.6077449094996012e-05, 1.5205826932828087e-19, 0.9999805467591343, 2.836388362589987e-14, 3.375791742291261e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+4,27,-0.2963673,0.015343715,4,-0.23105006495703093,0.004980115108258148,"[0.013108217208670309, 7.653136562063324e-14, 7.406751388472254e-05, 2.142695844437547e-05, 0.9867962883189241]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+4,28,0.08612508,0.3898904,2,-0.09286438524081729,0.3325912822507842,"[0.001191944772056754, 3.04168325446598e-14, 0.9988080384988681, 6.950747887693086e-12, 1.6722093785657194e-08]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+4,29,-0.20296153,0.2345368,2,-0.09286438524081729,0.3325912822507842,"[0.0005975607405476217, 1.1086699089308764e-17, 0.9620388554951861, 4.4652884273843737e-10, 0.0373635833177376]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+4,30,-0.3021013,-0.23802479,3,-0.11250871852438807,-0.26511987761854267,"[0.18695492795820895, 7.164679321353585e-08, 1.202066807535432e-14, 0.7439434553307042, 0.06910154506428162]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+4,31,0.40233114,0.06031101,1,0.39934755792821813,-0.08313946577123288,"[0.02790401290227012, 0.9716062964348678, 7.695806582267065e-12, 0.0004896906551662924, 7.483676458345303e-26]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+4,32,-0.31179968,-0.050893012,4,-0.23105006495703093,0.004980115108258148,"[0.029951275120113356, 1.7664540998815645e-12, 8.154852526529176e-07, 0.0004141273733613091, 0.9696337820195061]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+4,33,0.11298243,0.035079706,0,0.022002823621960012,0.011982012383780619,"[0.9904698325404873, 0.000522283562199552, 7.865851451955652e-08, 0.00900775261744506, 5.262135384114566e-08]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+4,34,-0.23456638,0.06657637,4,-0.23105006495703093,0.004980115108258148,"[0.01578937542789013, 1.8225381297012453e-13, 0.0007385833329557162, 6.191024517162121e-06, 0.9834658502144547]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+4,35,0.11017645,-0.16371755,3,-0.11250871852438807,-0.26511987761854267,"[0.14429545212960335, 0.16577930827178, 4.685727702802643e-17, 0.6899252395747848, 2.3831756359327732e-11]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+4,36,0.1429859,0.059452157,0,0.022002823621960012,0.011982012383780619,"[0.9947124028993408, 0.0007211186270575787, 2.585693824668515e-07, 0.004566215646084695, 4.2581344889525114e-09]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+4,37,-0.040502112,0.02318828,0,0.022002823621960012,0.011982012383780619,"[0.9830951568215266, 8.647793605896333e-07, 2.741558238417792e-06, 0.005664271892929516, 0.011236964947944954]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+4,38,-0.06471333,0.08954511,0,0.022002823621960012,0.011982012383780619,"[0.8735439881062209, 1.3585160390900175e-08, 0.0011234672076448641, 0.0004165545615786788, 0.12491597653939514]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+4,39,0.06407858,0.09707585,0,0.022002823621960012,0.011982012383780619,"[0.9991629305326302, 4.45931926912965e-06, 4.980536580111558e-05, 0.0007661564274458895, 1.6648354853702358e-05]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+4,40,-0.021407472,0.09407413,0,0.022002823621960012,0.011982012383780619,"[0.988473403911062, 9.690125530362656e-08, 0.0004854201055301956, 0.0005157358942186883, 0.010525343187933736]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+4,41,-0.056248758,0.025906589,0,0.022002823621960012,0.011982012383780619,"[0.9644461566129938, 3.6460693089080445e-07, 5.512826002332216e-06, 0.0046193190265151896, 0.030928646927557698]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+4,42,-0.15132618,0.02146309,4,-0.23105006495703093,0.004980115108258148,"[0.2316794426259473, 1.2172492916919666e-09, 1.821904130541973e-05, 0.0007398660087777533, 0.7675624711067202]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+4,43,-0.18518934,0.0027779788,4,-0.23105006495703093,0.004980115108258148,"[0.10994705748490671, 2.640030319529323e-10, 5.208978963636075e-06, 0.0005446555820391193, 0.8895030776900874]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+4,44,0.5118622,-0.024860546,1,0.39934755792821813,-0.08313946577123288,"[2.1875821127590984e-05, 0.9999668306765173, 1.8715946927419167e-19, 1.1293502355086059e-05, 9.232711432075172e-39]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+4,45,-0.0018669573,0.3644946,2,-0.09286438524081729,0.3325912822507842,"[0.0003213413210841749, 3.2994066270994564e-16, 0.9996757166696623, 3.3692763912872984e-12, 2.942005883865245e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+4,46,-0.24925767,0.015651966,4,-0.23105006495703093,0.004980115108258148,"[0.021665355675225796, 1.2872866570557878e-12, 2.573280516530759e-05, 4.682944352259877e-05, 0.9782620820747989]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+4,47,0.2804453,-0.1894261,1,0.39934755792821813,-0.08313946577123288,"[0.0004263895502650445, 0.9896995278282128, 5.124765877705791e-23, 0.009874082621522166, 1.449508421059277e-23]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+4,48,0.37225774,-0.11562894,1,0.39934755792821813,-0.08313946577123288,"[0.0001746239351668646, 0.9990635657041499, 5.644824587128412e-21, 0.0007618103606830314, 1.0944047353037464e-28]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+4,49,0.1460578,0.21914145,0,0.022002823621960012,0.011982012383780619,"[0.975393564078183, 9.843428029989757e-07, 0.02459402213211941, 1.1390928953981385e-05, 3.8517940648788514e-08]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+4,50,0.07159563,-0.024327766,0,0.022002823621960012,0.011982012383780619,"[0.9483229234249488, 0.0009200562281026307, 1.3005737933281578e-09, 0.05075641397081589, 6.050755590455979e-07]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+4,51,-0.078428976,-0.18954016,3,-0.11250871852438807,-0.26511987761854267,"[0.2149817350343692, 0.0002424414546306395, 1.5591325483543952e-15, 0.7846809834526179, 9.484005838068545e-05]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+4,52,-0.23586994,0.37846398,2,-0.09286438524081729,0.3325912822507842,"[2.0247509472173646e-07, 4.612754134979193e-25, 0.9999937570759294, 2.4810290026556973e-16, 6.040448975759495e-06]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+4,53,-0.15925287,-0.015642455,4,-0.23105006495703093,0.004980115108258148,"[0.2936119024030569, 5.5151339950778425e-09, 1.1771769165837978e-06, 0.0031614670989559435, 0.7032254478059367]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+4,54,0.38273144,-0.19184409,1,0.39934755792821813,-0.08313946577123288,"[9.119114342592413e-06, 0.9996238065588511, 4.7753817580079734e-26, 0.0003670743268063416, 3.0902275335282523e-32]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+4,55,-0.029614072,-0.05991212,0,0.022002823621960012,0.011982012383780619,"[0.9110892516540637, 4.404660734652753e-05, 9.653269529755623e-10, 0.08808040990621327, 0.0007862908670495505]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+4,56,-0.041920777,-0.1336057,0,0.022002823621960012,0.011982012383780619,"[0.5318456774141881, 0.00030707122768912094, 5.061825097701102e-13, 0.46771432683439734, 0.0001329245232193698]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+4,57,-0.05421332,-0.22073112,3,-0.11250871852438807,-0.26511987761854267,"[0.09172266583361667, 0.001009539505376055, 8.636741260897583e-18, 0.9072650659401278, 2.7287208794941546e-06]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+4,58,-0.19589648,0.09422963,4,-0.23105006495703093,0.004980115108258148,"[0.02844855862522357, 6.163558582235505e-13, 0.003188482957482678, 5.174299762552695e-06, 0.968357784116915]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+4,59,0.09615892,0.18102637,0,0.022002823621960012,0.011982012383780619,"[0.9916011914843935, 5.207392302582869e-07, 0.008356299036819823, 3.886418954231655e-05, 3.1245500140256336e-06]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+4,60,-0.013711061,-0.07216554,0,0.022002823621960012,0.011982012383780619,"[0.8648356960862429, 0.00014040990931667228, 1.7036609820145122e-10, 0.13485013140176755, 0.00017376243230678054]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+4,61,0.49365819,-0.019841706,1,0.39934755792821813,-0.08313946577123288,"[5.068055897445464e-05, 0.99992889742239, 1.0936490045692398e-18, 2.042201863568278e-05, 8.380967263054718e-37]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+4,62,-0.096782275,0.2680031,2,-0.09286438524081729,0.3325912822507842,"[0.0023567957341202274, 2.0025009345058713e-15, 0.992933316927318, 8.66985748773967e-10, 0.0047098864715740705]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+4,63,-0.07022652,-0.30347943,3,-0.11250871852438807,-0.26511987761854267,"[0.01254592784181056, 0.0017416488229276385, 9.099857994502868e-23, 0.9857123834077188, 3.992754300964263e-08]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+4,64,-0.08510746,-0.26066056,3,-0.11250871852438807,-0.26511987761854267,"[0.03942335744539056, 0.0005603778957022776, 9.240350148866772e-20, 0.960014329643552, 1.935015355145501e-06]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+4,65,-0.00251228,0.3769304,2,-0.09286438524081729,0.3325912822507842,"[0.00018626129656908123, 1.0179416008969728e-16, 0.9998121007991307, 1.1173664025216682e-12, 1.6379031826634846e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+4,66,0.42614552,0.08994585,1,0.39934755792821813,-0.08313946577123288,"[0.03215317023818857, 0.9676223201128454, 5.6642703370588954e-11, 0.00022450959232323442, 3.834606672698041e-27]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+4,67,0.25132486,-0.20319358,1,0.39934755792821813,-0.08313946577123288,"[0.0007845215141098793, 0.9762046274756336, 4.4578482389964506e-23, 0.023010851010256576, 8.799806501017677e-22]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+4,68,-0.18157998,0.03947093,4,-0.23105006495703093,0.004980115108258148,"[0.07476276199584639, 4.066234498887535e-11, 7.028066522697257e-05, 0.00010631008298525879, 0.9250606472152789]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+4,69,-0.12251995,-0.049827244,0,0.022002823621960012,0.011982012383780619,"[0.7746032640415003, 3.6061139628253407e-07, 4.108965723791189e-08, 0.031888425056905596, 0.19350790920054073]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+4,70,-0.18423451,0.25213403,2,-0.09286438524081729,0.3325912822507842,"[0.00040112669776457975, 8.299599247411164e-18, 0.9837600222294396, 1.6381185612703637e-10, 0.015838850908983848]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+4,71,-0.04843812,0.4040603,2,-0.09286438524081729,0.3325912822507842,"[1.7709342897807607e-05, 2.4235638570304725e-19, 0.9999806759551157, 2.326559439930398e-14, 1.6147019632167553e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+4,72,0.25011468,-0.18353273,1,0.39934755792821813,-0.08313946577123288,"[0.0016263310522461757, 0.9707889736310542, 9.136239583583966e-22, 0.027584695316699485, 5.196260714727151e-21]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+4,73,0.24778247,-0.18444899,1,0.39934755792821813,-0.08313946577123288,"[0.001718145552000235, 0.9687274235896128, 9.303882385093855e-22, 0.02955443085838702, 7.26238358046647e-21]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+4,74,-0.17648138,-0.41862112,3,-0.11250871852438807,-0.26511987761854267,"[0.0015235407812671567, 0.00020931071489605648, 1.0212720400780035e-28, 0.9982671377965766, 1.0707260186377513e-08]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+4,75,-0.16704087,-0.3598848,3,-0.11250871852438807,-0.26511987761854267,"[0.005420273500628429, 0.00011580072268815008, 7.606094396866268e-25, 0.9944635500742613, 3.7570242205093686e-07]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+4,76,0.61073065,0.018717432,1,0.39934755792821813,-0.08313946577123288,"[2.6052436323665484e-06, 0.9999968792534404, 1.2600046674282114e-19, 5.155029272233502e-07, 1.148201060860618e-47]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+4,77,-0.07488669,0.3827278,2,-0.09286438524081729,0.3325912822507842,"[1.938237141174609e-05, 1.9166249854240043e-19, 0.9999728916412978, 5.6499670730139256e-14, 7.72598723420044e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+4,78,0.022653038,0.24370801,2,-0.09286438524081729,0.3325912822507842,"[0.22849741495944764, 2.2556502923615908e-10, 0.7710482720703165, 4.77950056273832e-07, 0.0004538347946146569]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+4,79,0.24368975,0.18879418,0,0.022002823621960012,0.011982012383780619,"[0.9993687334651918, 0.0002989394077220736, 0.00026536092185382615, 6.69662047801941e-05, 4.520661189659507e-13]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+4,80,-0.16938657,-0.05973538,4,-0.23105006495703093,0.004980115108258148,"[0.3985831642242534, 3.230503524845568e-08, 3.83608842583464e-08, 0.017207601849836527, 0.5842091632599906]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+4,81,-0.25151917,-0.28693447,3,-0.11250871852438807,-0.26511987761854267,"[0.04913236938816027, 1.4580170985395867e-06, 1.5067488224466878e-18, 0.9494977539587461, 0.0013684186359950708]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+4,82,0.04577409,-0.24324691,3,-0.11250871852438807,-0.26511987761854267,"[0.030013620660525465, 0.04970805184466213, 7.905281110439361e-21, 0.9202783273783393, 1.164731631481557e-10]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+4,83,-0.22563006,-0.049784996,4,-0.23105006495703093,0.004980115108258148,"[0.09132277295422261, 3.33660075296994e-10, 1.4563822796943508e-07, 0.002048846043666547, 0.9066282350302228]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+4,84,-0.20074943,0.040258985,4,-0.23105006495703093,0.004980115108258148,"[0.043899394466168855, 9.063834599929613e-12, 8.206270704254941e-05, 5.40610825033574e-05, 0.9559644817352213]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+4,85,-0.1496939,0.30529067,2,-0.09286438524081729,0.3325912822507842,"[7.07993270511661e-05, 6.473469331414546e-19, 0.9990674881501431, 3.8403964972762365e-12, 0.0008617125189654317]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+4,86,0.2630342,0.051892787,0,0.022002823621960012,0.011982012383780619,"[0.849839684422278, 0.14044366961187277, 4.301806789473888e-09, 0.009716641664040545, 1.855653962994343e-15]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+4,87,0.61719507,-0.024593957,1,0.39934755792821813,-0.08313946577123288,"[5.078229004256049e-07, 0.9999990686175757, 3.6369503563445204e-22, 4.2355952406903523e-07, 9.184030787420327e-50]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+4,88,-0.14552048,-0.15470643,0,0.022002823621960012,0.011982012383780619,"[0.5073026212838718, 7.108906654164583e-06, 1.5323009285498492e-12, 0.4676559294907853, 0.025034340317156498]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+4,89,0.004352061,-0.07103703,0,0.022002823621960012,0.011982012383780619,"[0.8571125807355514, 0.00029418543532689186, 1.0752663580782352e-10, 0.142547712953803, 4.552076779207316e-05]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+4,90,-0.31772932,0.41427824,2,-0.09286438524081729,0.3325912822507842,"[4.3272991161045885e-09, 1.5841745671312897e-29, 0.999999935930614, 5.885778568166433e-19, 5.974208686878961e-08]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+4,91,-0.118134014,0.26676714,2,-0.09286438524081729,0.3325912822507842,"[0.0013363889855354625, 4.0672628295008255e-16, 0.9922298245703243, 4.5246065064511837e-10, 0.006433785991679236]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+4,92,-0.19037005,0.30377576,2,-0.09286438524081729,0.3325912822507842,"[2.237209272653551e-05, 2.6146818596976266e-20, 0.9992014296585944, 9.952364541380939e-13, 0.0007761982476837151]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+4,93,-0.18803668,0.09546091,4,-0.23105006495703093,0.004980115108258148,"[0.03458486517417617, 1.0442149980727735e-12, 0.0033057485812544424, 6.30967503184856e-06, 0.9621030765684934]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+4,94,0.32727078,-0.11709024,1,0.39934755792821813,-0.08313946577123288,"[0.0009042082444253608, 0.9957840594582408, 8.479443594241438e-20, 0.003311732297333916, 6.613348212447184e-25]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+4,95,0.3095995,0.5030761,2,-0.09286438524081729,0.3325912822507842,"[0.0057926207777443655, 4.366804436061695e-11, 0.9942073791779038, 6.837594826041268e-13, 2.2695935628758206e-18]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+4,96,-0.26364937,-0.38828564,3,-0.11250871852438807,-0.26511987761854267,"[0.004745556491958506, 5.0432649887959705e-06, 4.838764400695221e-25, 0.9952462257837794, 3.1744592732781193e-06]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+4,97,-0.25224024,-0.31188005,3,-0.11250871852438807,-0.26511987761854267,"[0.026887486934772088, 2.1535236554933346e-06, 3.830635983720098e-20, 0.9728079906867168, 0.00030236885485558065]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+4,98,-0.30068702,-0.14781809,4,-0.23105006495703093,0.004980115108258148,"[0.1783795382386248, 1.4334642332281143e-09, 2.3066650828519007e-10, 0.0546506735480869, 0.7669697865491577]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+4,99,-0.09486352,0.005280091,0,0.022002823621960012,0.011982012383780619,"[0.8329337842405985, 1.2829916941916956e-07, 2.6927793006799622e-06, 0.006460800288633285, 0.1606025943922981]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+5,0,0.08799766,-0.06060414,0,0.037281523328938616,0.010508440293442773,"[0.9190312240562309, 0.005258211040164937, 2.010680210712955e-11, 0.0757030111974422, 7.553686055207477e-06]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+5,1,-0.08406016,0.2851326,2,-0.09296280011933777,0.3326777637285923,"[0.0014715877262271313, 2.9196856969714363e-16, 0.9964215181435326, 2.2657884076380623e-12, 0.0021068941279741224]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+5,2,-0.16364236,-0.11411294,4,-0.22210335419955535,-0.001519813838063056,"[0.4386714570416271, 3.788475265399387e-07, 2.1156965996125552e-10, 0.07934163470421945, 0.4819865291950574]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+5,3,0.07371062,-0.27021888,3,-0.11916427900347708,-0.2765971146888643,"[0.026981718123349086, 0.14806717732321162, 4.2721382067183717e-23, 0.8249511004021299, 4.151309344778207e-09]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+5,4,-0.1284643,0.3103237,2,-0.09296280011933777,0.3326777637285923,"[0.00011372770431338339, 5.458179380147407e-19, 0.999032339538196, 2.5649079245278374e-14, 0.0008539327574649717]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+5,5,-0.23808402,0.26056772,2,-0.09296280011933777,0.3326777637285923,"[3.712269648603642e-05, 7.823608772986116e-21, 0.9923581240843978, 7.82834591289922e-14, 0.007604753219037932]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+5,6,-0.10493148,-0.30384988,3,-0.11916427900347708,-0.2765971146888643,"[0.02370656688056876, 0.000391214027565461, 2.9131620015330175e-22, 0.9758803442742445, 2.1874817621256833e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+5,7,-0.295713,-0.42771262,3,-0.11916427900347708,-0.2765971146888643,"[0.003201438571903623, 2.2960767528956686e-06, 3.1505395938866707e-27, 0.9967905718858284, 5.693465514943327e-06]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+5,8,-0.3188932,-0.023905918,4,-0.22210335419955535,-0.001519813838063056,"[0.008514043683408428, 8.604863526537746e-14, 8.273400642535763e-06, 2.6462266379043506e-05, 0.9914512206494839]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+5,9,0.52375084,0.03593809,1,0.40066844685712144,-0.08343589595161922,"[9.538219306869619e-05, 0.9999011945368383, 1.7856636980247364e-16, 3.423270092792322e-06, 9.870390506348157e-29]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+5,10,-0.24769914,0.06194072,4,-0.22210335419955535,-0.001519813838063056,"[0.0078891998839123, 3.771472061933172e-14, 0.0007398136698805711, 7.273804686658543e-07, 0.9913702590657009]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+5,11,0.45866024,0.07679337,1,0.40066844685712144,-0.08343589595161922,"[0.005043299008868932, 0.9949344470226683, 1.4862474194414222e-12, 2.2253966976445363e-05, 4.14038254782103e-23]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+5,12,-0.21952832,-0.2596673,3,-0.11916427900347708,-0.2765971146888643,"[0.07654810243216018, 2.2580928390391045e-06, 2.0783425134987676e-17, 0.9125722712022738, 0.010877368272726801]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+5,13,0.5387558,-0.021885695,1,0.40066844685712144,-0.08343589595161922,"[8.963284721691804e-06, 0.9999882367030749, 4.8908384145626106e-20, 2.800012203241524e-06, 5.332605949240078e-31]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+5,14,-0.31746334,-0.03755091,4,-0.22210335419955535,-0.001519813838063056,"[0.010547724443878468, 2.2182300177998516e-13, 2.824607353809288e-06, 5.832507269882279e-05, 0.9893911258758472]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+5,15,0.21572201,0.15297481,0,0.037281523328938616,0.010508440293442773,"[0.999654939482607, 0.00027723881952709486, 4.52102551412144e-05, 2.2608212444133643e-05, 3.2302808102024498e-09]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+5,16,-0.17784788,-0.16018736,0,0.037281523328938616,0.010508440293442773,"[0.413865911637814, 1.3213667741635071e-06, 2.4589051095138845e-12, 0.3266941880480435, 0.25943857894490957]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+5,17,0.12485067,-0.17534988,3,-0.11916427900347708,-0.2765971146888643,"[0.15898799862247565, 0.2703951796154149, 4.8310787948279196e-18, 0.5706168136038904, 8.158219096757081e-09]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+5,18,-0.045080878,-0.32160506,3,-0.11916427900347708,-0.2765971146888643,"[0.014909595784736857, 0.004686893523742065, 1.8979330980671895e-24, 0.9804030036187907, 5.07072730417618e-07]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+5,19,-0.29219365,-0.1354431,4,-0.22210335419955535,-0.001519813838063056,"[0.07583295240742978, 4.996575341334519e-10, 5.068596305065674e-10, 0.01864224223212895, 0.9055248043539241]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+5,20,0.22983314,0.005944166,0,0.037281523328938616,0.010508440293442773,"[0.8320834178662023, 0.15511041084333665, 1.5807445157380275e-10, 0.012806170930915102, 2.0147127716290527e-10]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+5,21,-0.2313607,0.15489271,4,-0.22210335419955535,-0.001519813838063056,"[0.004712863086186049, 4.3843371268633607e-16, 0.2044640474856597, 4.37836411018771e-09, 0.7908230850497897]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+5,22,0.44196302,-0.22339565,1,0.40066844685712144,-0.08343589595161922,"[1.1061784249508285e-06, 0.9999512136946275, 9.35532090519865e-30, 4.768012694749166e-05, 2.8168776648371143e-28]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+5,23,0.31953293,-0.23248373,1,0.40066844685712144,-0.08343589595161922,"[6.412033537601929e-05, 0.9979346399594422, 5.252555557571811e-27, 0.0020012397051816684, 1.6055322192711994e-20]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+5,24,0.0025802255,-0.08199731,0,0.037281523328938616,0.010508440293442773,"[0.8942131198881789, 0.00030346500802808855, 3.575920445970299e-11, 0.10434437821751716, 0.0011390368505166404]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+5,25,0.023439856,-0.079839304,0,0.037281523328938616,0.010508440293442773,"[0.892737112618442, 0.0006833637271489709, 2.2373164938348407e-11, 0.1062311919871428, 0.0003483316448931922]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+5,26,-0.06371302,0.3954228,2,-0.09296280011933777,0.3326777637285923,"[2.5460752553959165e-05, 3.5368526498954685e-20, 0.9999679960695945, 3.785103731793087e-17, 6.5431778514569104e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+5,27,-0.2963673,0.015343715,4,-0.22210335419955535,-0.001519813838063056,"[0.006280158570019213, 2.7636458567475372e-14, 7.892445913485346e-05, 3.902830082779606e-06, 0.9936370141407355]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+5,28,0.08612508,0.3898904,2,-0.09296280011933777,0.3326777637285923,"[0.001877960000558524, 1.0961991135866487e-14, 0.9981219510457958, 1.669879862900418e-14, 8.895361811217453e-08]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+5,29,-0.20296153,0.2345368,2,-0.09296280011933777,0.3326777637285923,"[0.0004608705813564871, 2.6645763528316375e-18, 0.9549024890004136, 5.929990982607513e-12, 0.04463664041229983]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+5,30,-0.3021013,-0.23802479,3,-0.11916427900347708,-0.2765971146888643,"[0.1277918419847097, 4.570344356579209e-08, 1.2785111573335498e-14, 0.7338653491565762, 0.13834276315525756]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+5,31,0.40233114,0.06031101,1,0.40066844685712144,-0.08343589595161922,"[0.028041772149072063, 0.971798747583601, 7.590875613169046e-12, 0.0001594802597360888, 1.8859680402784137e-19]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+5,32,-0.31179968,-0.050893012,4,-0.22210335419955535,-0.001519813838063056,"[0.013642203094777847, 7.158426841196633e-13, 8.573119418903517e-07, 0.00013298963204103176, 0.9862239499605233]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+5,33,0.11298243,0.035079706,0,0.037281523328938616,0.010508440293442773,"[0.9972933516036424, 0.00037277152402941566, 7.353585158350712e-08, 0.0023283958336683523, 5.407502808256422e-06]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+5,34,-0.23456638,0.06657637,4,-0.22210335419955535,-0.001519813838063056,"[0.009776919985047636, 7.109006197047184e-14, 0.0008234001609933986, 7.749601576249296e-07, 0.9893989048937302]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+5,35,0.11017645,-0.16371755,3,-0.11916427900347708,-0.2765971146888643,"[0.24486134860000963, 0.15534429387148274, 4.5134775000784975e-17, 0.5997943078706447, 4.9657862726232506e-08]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+5,36,0.1429859,0.059452157,0,0.037281523328938616,0.010508440293442773,"[0.9984805805297686, 0.000520219819349267, 2.4227302650503204e-07, 0.0009982364582564918, 7.2091959914316e-07]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+5,37,-0.040502112,0.02318828,0,0.037281523328938616,0.010508440293442773,"[0.938213317149068, 5.603280544721763e-07, 2.961234418167675e-06, 0.001492789429226583, 0.060290371859232875]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+5,38,-0.06471333,0.08954511,0,0.037281523328938616,0.010508440293442773,"[0.7114402111601801, 6.670491663561626e-09, 0.0011043796380407387, 4.975772619600783e-05, 0.2874056448050915]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+5,39,0.06407858,0.09707585,0,0.037281523328938616,0.010508440293442773,"[0.9995352145581147, 2.885610029887332e-06, 5.061409476869259e-05, 0.0001107269185153473, 0.00030055881857122234]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+5,40,-0.021407472,0.09407413,0,0.037281523328938616,0.010508440293442773,"[0.9533828112997123, 5.7063308950697966e-08, 0.0005268666427656324, 7.029059655335471e-05, 0.04601997439765961]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+5,41,-0.056248758,0.025906589,0,0.037281523328938616,0.010508440293442773,"[0.8731615563102875, 2.232279018194712e-07, 5.832074895188096e-06, 0.0011350677749053407, 0.1256973206120101]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+5,42,-0.15132618,0.02146309,4,-0.22210335419955535,-0.001519813838063056,"[0.13229708575394059, 4.789556340206858e-10, 1.500742222269218e-05, 0.0001263617112217138, 0.8675615446336596]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+5,43,-0.18518934,0.0027779788,4,-0.22210335419955535,-0.001519813838063056,"[0.06337766086153095, 1.0992978766652375e-10, 4.7045467580041e-06, 0.00011472412416767264, 0.9365029103576137]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+5,44,0.5118622,-0.024860546,1,0.40066844685712144,-0.08343589595161922,"[2.270907629596518e-05, 0.9999707596869057, 1.7054278070055522e-19, 6.5312367982421e-06, 5.070974686389063e-29]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+5,45,-0.0018669573,0.3644946,2,-0.09296280011933777,0.3326777637285923,"[0.0004651598679431504, 1.0014941084641238e-16, 0.9995280013982992, 9.638276624067777e-15, 6.838733748009005e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+5,46,-0.24925767,0.015651966,4,-0.22210335419955535,-0.001519813838063056,"[0.012609226231334963, 5.462124966464001e-13, 2.8513673279248823e-05, 9.617951889960725e-06, 0.9873526421429497]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+5,47,0.2804453,-0.1894261,1,0.40066844685712144,-0.08343589595161922,"[0.000933734310100582, 0.9898995242060419, 4.655136787577659e-23, 0.009166741483857401, 4.055263238692069e-17]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+5,48,0.37225774,-0.11562894,1,0.40066844685712144,-0.08343589595161922,"[0.000283956740767206, 0.9991171161842215, 5.141489000400404e-21, 0.0005989270750111974, 3.908581013719964e-21]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+5,49,0.1460578,0.21914145,0,0.037281523328938616,0.010508440293442773,"[0.976963628208836, 5.484461608874405e-07, 0.02303412257095205, 4.2620707536557014e-07, 1.2745669756453101e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+5,50,0.07159563,-0.024327766,0,0.037281523328938616,0.010508440293442773,"[0.9798336972524376, 0.0006619671490939532, 1.1935364788917521e-09, 0.019459575231437917, 4.4759173494077153e-05]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+5,51,-0.078428976,-0.18954016,3,-0.11916427900347708,-0.2765971146888643,"[0.27710793063158456, 0.00020077244811905192, 1.6030176950448248e-15, 0.7205781277724794, 0.0021131691478153587]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+5,52,-0.23586994,0.37846398,2,-0.09296280011933777,0.3326777637285923,"[2.4628929852319103e-07, 6.402297827741967e-26, 0.9999765998679652, 2.536263274257854e-19, 2.3153842736327462e-05]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+5,53,-0.15925287,-0.015642455,4,-0.22210335419955535,-0.001519813838063056,"[0.1604962841911679, 2.209873448005007e-09, 9.2704610458239e-07, 0.0007113118312823682, 0.8387914747215717]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+5,54,0.38273144,-0.19184409,1,0.40066844685712144,-0.08343589595161922,"[2.074776611807808e-05, 0.9996393556511031, 4.263162926530714e-26, 0.0003398965827789092, 1.458114069708716e-23]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+5,55,-0.029614072,-0.05991212,0,0.037281523328938616,0.010508440293442773,"[0.9464762360055303, 3.2147213208880695e-05, 9.94009900971933e-10, 0.043134843567501024, 0.010356772219750145]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+5,56,-0.041920777,-0.1336057,0,0.037281523328938616,0.010508440293442773,"[0.6450708186941471, 0.00024975136857800757, 5.269835463168195e-13, 0.35149655102457067, 0.0031828789121772006]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+5,57,-0.05421332,-0.22073112,3,-0.11916427900347708,-0.2765971146888643,"[0.13220438759375627, 0.0008403455085623995, 8.27176210731091e-18, 0.8668103347820365, 0.00014493211564466947]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+5,58,-0.19589648,0.09422963,4,-0.22210335419955535,-0.001519813838063056,"[0.019163914978364942, 2.3890439625018555e-13, 0.00342408357752261, 4.940195594264159e-07, 0.9774115074243142]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+5,59,0.09615892,0.18102637,0,0.037281523328938616,0.010508440293442773,"[0.9917971091997488, 2.945363114166705e-07, 0.008149467657032207, 2.206925134395878e-06, 5.092168177301249e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+5,60,-0.013711061,-0.07216554,0,0.037281523328938616,0.010508440293442773,"[0.9255720728540283, 0.00010427407441737638, 1.7059401902637895e-10, 0.07082422190044066, 0.003499431000519542]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+5,61,0.49365819,-0.019841706,1,0.40066844685712144,-0.08343589595161922,"[5.3082593681328115e-05, 0.999935521047722, 9.998275904900092e-19, 1.1396358596603221e-05, 1.4448359554155624e-27]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+5,62,-0.096782275,0.2680031,2,-0.09296280011933777,0.3326777637285923,"[0.002370169830478246, 6.011869099231099e-16, 0.9914537850929539, 9.28027034255594e-12, 0.006176045067287143]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+5,63,-0.07022652,-0.30347943,3,-0.11916427900347708,-0.2765971146888643,"[0.02235365299698908, 0.0014299754977932547, 7.90000756826964e-23, 0.97621177422725, 4.597277967605747e-06]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+5,64,-0.08510746,-0.26066056,3,-0.11916427900347708,-0.2765971146888643,"[0.05760663672439925, 0.0004485682641506775, 8.390351522033746e-20, 0.9418589249136701, 8.58700977799759e-05]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+5,65,-0.00251228,0.3769304,2,-0.09296280011933777,0.3326777637285923,"[0.00028163096401364246, 2.984516452750538e-17, 0.9997145340459457, 2.5569720305684053e-15, 3.834990037935034e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+5,66,0.42614552,0.08994585,1,0.40066844685712144,-0.08343589595161922,"[0.02997402385711455, 0.9699663308737945, 5.62709811978538e-11, 5.9645212819963355e-05, 1.5495478657999854e-20]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+5,67,0.25132486,-0.20319358,1,0.40066844685712144,-0.08343589595161922,"[0.0017966794789296937, 0.9763214452279331, 4.0640990395678954e-23, 0.021881875293136285, 9.289787568694607e-16]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+5,68,-0.18157998,0.03947093,4,-0.22210335419955535,-0.001519813838063056,"[0.0460757634547898, 1.6769943794282234e-11, 6.78279542728672e-05, 1.6937279257176134e-05, 0.9538394712949102]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+5,69,-0.12251995,-0.049827244,0,0.037281523328938616,0.010508440293442773,"[0.5344094110487944, 1.8406215926991482e-07, 3.562873076362269e-08, 0.010927893474268023, 0.45466247578604746]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+5,70,-0.18423451,0.25213403,2,-0.09296280011933777,0.3326777637285923,"[0.0003373147939312019, 2.0146772611039623e-18, 0.9804076284458012, 1.7547885517195045e-12, 0.019255056758512964]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+5,71,-0.04843812,0.4040603,2,-0.09296280011933777,0.3326777637285923,"[2.9272918892614807e-05, 5.761620489701211e-20, 0.9999674136887047, 2.778630507671831e-17, 3.3133924026689274e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+5,72,0.25011468,-0.18353273,1,0.40066844685712144,-0.08343589595161922,"[0.0034296478544564722, 0.9710616549164182, 8.419129948617255e-22, 0.025508697229122176, 3.290344282039136e-15]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+5,73,0.24778247,-0.18444899,1,0.40066844685712144,-0.08343589595161922,"[0.003632589927560205, 0.9689830882925838, 8.577888469952869e-22, 0.027384321779851572, 4.247474700015643e-15]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+5,74,-0.17648138,-0.41862112,3,-0.11916427900347708,-0.2765971146888643,"[0.0035499538317877335, 0.0001863565123153316, 9.401636622668718e-29, 0.9962629658505763, 7.238053207785201e-07]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+5,75,-0.16704087,-0.3598848,3,-0.11916427900347708,-0.2765971146888643,"[0.00889898889225165, 9.082046517798163e-05, 6.565785596872962e-25, 0.9909982783102407, 1.1912332329743931e-05]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+5,76,0.61073065,0.018717432,1,0.40066844685712144,-0.08343589595161922,"[1.9746646258756146e-06, 0.9999977710584522, 1.1528042037007475e-19, 2.5427692177503724e-07, 6.616850610471007e-36]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+5,77,-0.07488669,0.3827278,2,-0.09296280011933777,0.3326777637285923,"[2.8972474185446544e-05, 4.4687310350118954e-20, 0.9999569227179597, 9.197331715837209e-17, 1.4104807854923386e-05]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+5,78,0.022653038,0.24370801,2,-0.09296280011933777,0.3326777637285923,"[0.24000719436448947, 9.63974114758871e-11, 0.7584291865415904, 9.959333390377921e-09, 0.0015636090381894428]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+5,79,0.24368975,0.18879418,0,0.037281523328938616,0.010508440293442773,"[0.9995189862793679, 0.0002165587076804522, 0.00025973418822071215, 4.720540894988e-06, 2.838358293234484e-10]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+5,80,-0.16938657,-0.05973538,4,-0.22210335419955535,-0.001519813838063056,"[0.215458127083223, 1.348688174611433e-08, 2.9317457473212205e-08, 0.005263735578489765, 0.7792780945339478]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+5,81,-0.25151917,-0.28693447,3,-0.11916427900347708,-0.2765971146888643,"[0.04338529705526475, 9.722970238362385e-07, 1.394833053196468e-18, 0.9512605990431199, 0.005353131604591571]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+5,82,0.04577409,-0.24324691,3,-0.11916427900347708,-0.2765971146888643,"[0.05832740725207847, 0.04459392225239537, 7.142903774331552e-21, 0.8970785459036549, 1.245918712429691e-07]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+5,83,-0.22563006,-0.049784996,4,-0.22210335419955535,-0.001519813838063056,"[0.0499627518065004, 1.4718067405119872e-10, 1.3579311732061222e-07, 0.0006561074735243794, 0.9493810047796774]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+5,84,-0.20074943,0.040258985,4,-0.22210335419955535,-0.001519813838063056,"[0.02753900552956743, 3.8181871975024565e-12, 8.491158224707098e-05, 8.84938932454375e-06, 0.9723672334950426]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+5,85,-0.1496939,0.30529067,2,-0.09296280011933777,0.3326777637285923,"[7.402019738583326e-05, 1.501394042002109e-19, 0.9987252859334896, 1.9303514166460555e-14, 0.001200693869105177]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+5,86,0.2630342,0.051892787,0,0.037281523328938616,0.010508440293442773,"[0.8793849284604452, 0.11794977142113959, 3.991843799734287e-09, 0.0026652961102330897, 1.6338221113475117e-11]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+5,87,0.61719507,-0.024593957,1,0.40066844685712144,-0.08343589595161922,"[4.4683124793972827e-07, 0.9999992897602161, 3.3400459740823643e-22, 2.634085359688162e-07, 3.0367547135857588e-37]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+5,88,-0.14552048,-0.15470643,0,0.037281523328938616,0.010508440293442773,"[0.5030230190235435, 5.2481973465860734e-06, 1.6512267557109543e-12, 0.37046885272312247, 0.12650288005433613]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+5,89,0.004352061,-0.07103703,0,0.037281523328938616,0.010508440293442773,"[0.9246483123868968, 0.00021849713806080775, 1.0491877311709913e-10, 0.07383419201213624, 0.0012989983579876146]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+5,90,-0.31772932,0.41427824,2,-0.09296280011933777,0.3326777637285923,"[5.3957987253880485e-09, 1.4300126810440212e-30, 0.9999989225597323, 2.2077387167602144e-22, 1.0720444692797059e-06]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+5,91,-0.118134014,0.26676714,2,-0.09296280011933777,0.3326777637285923,"[0.0013024877048775905, 1.1532484357537423e-16, 0.990718819654861, 4.651539403614329e-12, 0.007978692635609921]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+5,92,-0.19037005,0.30377576,2,-0.09296280011933777,0.3326777637285923,"[2.1846035307804502e-05, 5.36281733375352e-21, 0.9987532327846581, 4.534255317373116e-15, 0.0012249211800296072]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+5,93,-0.18803668,0.09546091,4,-0.22210335419955535,-0.001519813838063056,"[0.023412697114406633, 4.054225896115895e-13, 0.003495034380902374, 5.943067159543912e-07, 0.9730916741975696]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+5,94,0.32727078,-0.11709024,1,0.40066844685712144,-0.08343589595161922,"[0.0014979260765717597, 0.9959004988629803, 7.830987041206907e-20, 0.0026015750604478144, 2.8087962772303267e-18]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+5,95,0.3095995,0.5030761,2,-0.09296280011933777,0.3326777637285923,"[0.010491756230646044, 2.0808603524891763e-11, 0.9895082437485447, 4.068505934475196e-16, 4.77535071718119e-16]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+5,96,-0.26364937,-0.38828564,3,-0.11916427900347708,-0.2765971146888643,"[0.005885704279677547, 3.640428724935494e-06, 4.191253285549029e-25, 0.9940812134508848, 2.9441840712688056e-05]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+5,97,-0.25224024,-0.31188005,3,-0.11916427900347708,-0.2765971146888643,"[0.025157218614552532, 1.4365247979377398e-06, 3.403807023116759e-20, 0.9734051939700433, 0.0014361508906061112]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+5,98,-0.30068702,-0.14781809,4,-0.22210335419955535,-0.001519813838063056,"[0.0874816779596768, 6.796451288613843e-10, 2.1990483381404204e-10, 0.03195691032120685, 0.8805614108195663]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+5,99,-0.09486352,0.005280091,0,0.037281523328938616,0.010508440293442773,"[0.6112690488471538, 6.554978220027067e-08, 2.4660921398324025e-06, 0.0015558379732404331, 0.38717258153768386]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+6,0,0.08799766,-0.06060414,0,0.0427577370990756,0.005247990488942775,"[0.933816864280329, 0.0039942379491615596, 1.0956702948588177e-11, 0.062180906264506175, 7.991495046678118e-06]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+6,1,-0.08406016,0.2851326,2,-0.09439776903147923,0.33276233402626737,"[0.004068228613107685, 9.331854312727611e-17, 0.9943676897767368, 1.573380563550265e-10, 0.0015640814528172738]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+6,2,-0.16364236,-0.11411294,4,-0.22116285947009362,0.0003205084323621392,"[0.3933536414222573, 2.804266988627026e-07, 1.6588813484297173e-10, 0.1499604725438634, 0.4566856054412922]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+6,3,0.07371062,-0.27021888,3,-0.13166962999242665,-0.2751748826190349,"[0.1073921021348489, 0.17971175309213286, 2.0272780800056437e-23, 0.7128961421533654, 2.619652900380445e-09]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+6,4,-0.1284643,0.3103237,2,-0.09439776903147923,0.33276233402626737,"[0.0004527969414401968, 1.4370672569898368e-19, 0.9990179358169056, 3.740812912321398e-12, 0.0005292672379131137]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+6,5,-0.23808402,0.26056772,2,-0.09439776903147923,0.33276233402626737,"[0.00015293487153226711, 1.8084110613219258e-21, 0.9949374362739167, 1.2025072139962483e-11, 0.004909628842525844]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+6,6,-0.10493148,-0.30384988,3,-0.13166962999242665,-0.2751748826190349,"[0.04749480459682068, 0.0003963784799232664, 1.4898729256436227e-22, 0.952098707802528, 1.0109120727930954e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+6,7,-0.295713,-0.42771262,3,-0.13166962999242665,-0.2751748826190349,"[0.005847572429736189, 2.3399399034819053e-06, 1.6154410606589008e-27, 0.9941485203981602, 1.5672322001467352e-06]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+6,8,-0.3188932,-0.023905918,4,-0.22116285947009362,0.0003205084323621392,"[0.007579534675489195, 3.7211982192384295e-14, 7.440480511038493e-06, 0.00015632096357573618, 0.9922567038803869]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+6,9,0.52375084,0.03593809,1,0.40101135222136347,-0.08431752781116728,"[0.0002018116348802703, 0.9997977958152969, 7.16701075283871e-17, 3.925498227600805e-07, 4.260753217574684e-28]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+6,10,-0.24769914,0.06194072,4,-0.22116285947009362,0.0003205084323621392,"[0.00914828683450248, 1.5395449315617396e-14, 0.0006982731600412043, 7.92526262008193e-06, 0.990145514742821]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+6,11,0.45866024,0.07679337,1,0.40101135222136347,-0.08431752781116728,"[0.007339617334385969, 0.9926559760407999, 7.481381170460976e-13, 4.406624065869346e-06, 1.5897427053695375e-22]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+6,12,-0.21952832,-0.2596673,3,-0.13166962999242665,-0.2751748826190349,"[0.07228681327506511, 1.7192499185428679e-06, 1.181502191271015e-17, 0.9219552494901971, 0.005756217984819187]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+6,13,0.5387558,-0.021885695,1,0.40101135222136347,-0.08431752781116728,"[3.062033762657028e-05, 0.9999690934851325, 1.642551366948277e-20, 2.861772409152996e-07, 2.049312208800727e-30]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+6,14,-0.31746334,-0.03755091,4,-0.22116285947009362,0.0003205084323621392,"[0.009041889813549406, 1.0021893951216381e-13, 2.525292651083455e-06, 0.0003023773971867634, 0.9906532074965124]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+6,15,0.21572201,0.15297481,0,0.0427577370990756,0.005247990488942775,"[0.9997093656885511, 0.0002163965188417922, 3.614799956038603e-05, 3.80833876939413e-05, 6.405352902824277e-09]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+6,16,-0.17784788,-0.16018736,3,-0.13166962999242665,-0.2751748826190349,"[0.3466400327988084, 9.361547851215068e-07, 1.641135402286702e-12, 0.45587588267699375, 0.19748314836777167]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+6,17,0.12485067,-0.17534988,3,-0.13166962999242665,-0.2751748826190349,"[0.35509928535299, 0.274809287127916, 2.3123401689888095e-18, 0.3700914202048615, 7.314232507355271e-09]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+6,18,-0.045080878,-0.32160506,3,-0.13166962999242665,-0.2751748826190349,"[0.045284373655485266, 0.0051379624506729905, 8.778165486246791e-25, 0.9495774480609117, 2.1583292992503174e-07]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+6,19,-0.29219365,-0.1354431,4,-0.22116285947009362,0.0003205084323621392,"[0.062299527640685734, 3.338289202326593e-10, 4.5283171283668935e-10, 0.04590012281202904, 0.8918003487606246]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+6,20,0.22983314,0.005944166,0,0.0427577370990756,0.005247990488942775,"[0.8726585891912847, 0.12058383880487737, 7.98642908617167e-11, 0.006757571618141576, 3.058319295567152e-10]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+6,21,-0.2313607,0.15489271,4,-0.22116285947009362,0.0003205084323621392,"[0.009492387778702628, 1.578989805967836e-16, 0.22174887210189045, 1.498108476824831e-07, 0.768758590308559]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+6,22,0.44196302,-0.22339565,1,0.40101135222136347,-0.08431752781116728,"[1.745775356654192e-05, 0.9999698585780098, 2.1597125703111528e-30, 1.2683668423775907e-05, 3.3022140512103845e-28]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+6,23,0.31953293,-0.23248373,1,0.40101135222136347,-0.08431752781116728,"[0.0005279230281559977, 0.9987120621296424, 1.4568358427172072e-27, 0.0007600148422015763, 1.3464565721264236e-20]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+6,24,0.0025802255,-0.08199731,0,0.0427577370990756,0.005247990488942775,"[0.8803144016305741, 0.00023372868879922758, 2.223891567125163e-11, 0.11833148275762445, 0.0011203869007634908]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+6,25,0.023439856,-0.079839304,0,0.0427577370990756,0.005247990488942775,"[0.8891526089121521, 0.0005251030138934739, 1.3355218178675654e-11, 0.1099784968418522, 0.0003437912187471573]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+6,26,-0.06371302,0.3954228,2,-0.09439776903147923,0.33276233402626737,"[0.00016113975204869887, 8.457173289347804e-21, 0.9998357192061466, 1.302379045393162e-14, 3.1410417915711494e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+6,27,-0.2963673,0.015343715,4,-0.22116285947009362,0.0003205084323621392,"[0.0063191367497781, 1.1332041570768264e-14, 7.25253060973099e-05, 3.152738994972548e-05, 0.9935768105541635]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+6,28,0.08612508,0.3898904,2,-0.09439776903147923,0.33276233402626737,"[0.0057720753979468254, 3.9153293846638796e-15, 0.9942278590451261, 1.2708957722571232e-12, 6.555565222932687e-08]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+6,29,-0.20296153,0.2345368,2,-0.09439776903147923,0.33276233402626737,"[0.00135422667035593, 7.430557500619607e-19, 0.965504130075511, 4.773047443219219e-10, 0.03314164277682836]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+6,30,-0.3021013,-0.23802479,3,-0.13166962999242665,-0.2751748826190349,"[0.08747739571285779, 2.8915641561953676e-08, 7.838879037719005e-15, 0.8313596337111621, 0.08116294166033101]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+6,31,0.40233114,0.06031101,1,0.40101135222136347,-0.08431752781116728,"[0.039471444885273176, 0.960484679757393, 4.031630178021862e-12, 4.3875353302153425e-05, 5.90772580688029e-19]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+6,32,-0.31179968,-0.050893012,4,-0.22116285947009362,0.0003205084323621392,"[0.011356707716315731, 3.416614353443286e-13, 7.631425728448302e-07, 0.000603916882520969, 0.9880386122582487]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+6,33,0.11298243,0.035079706,0,0.0427577370990756,0.005247990488942775,"[0.9965111055821727, 0.00029717536440138304, 5.3134253904551516e-08, 0.003183615751173199, 8.050167998897604e-06]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+6,34,-0.23456638,0.06657637,4,-0.22116285947009362,0.0003205084323621392,"[0.01132055934816869, 2.943632473525283e-14, 0.0007742309073412152, 8.320380355751344e-06, 0.987896889364105]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+6,35,0.11017645,-0.16371755,0,0.0427577370990756,0.005247990488942775,"[0.46122293177721113, 0.14796368256579895, 2.1589407979087827e-17, 0.39081334192792694, 4.3729063084419735e-08]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+6,36,0.1429859,0.059452157,0,0.0427577370990756,0.005247990488942775,"[0.9982330636454922, 0.000416681184247341, 1.7715948592295658e-07, 0.001348913302621659, 1.1647081525952818e-06]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+6,37,-0.040502112,0.02318828,0,0.0427577370990756,0.005247990488942775,"[0.9204867297485831, 3.9113708587843723e-07, 2.550926946941262e-06, 0.004388819250266073, 0.07512150893711798]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+6,38,-0.06471333,0.08954511,0,0.0427577370990756,0.005247990488942775,"[0.6904275511885544, 3.4579601861587603e-09, 0.0009209333000911177, 0.0002609751016281604, 0.30839053695176644]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+6,39,0.06407858,0.09707585,0,0.0427577370990756,0.005247990488942775,"[0.9992067759741217, 1.9917441180157e-06, 4.256105217499701e-05, 0.0003200180033433355, 0.00042865322624220436]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+6,40,-0.021407472,0.09407413,0,0.0427577370990756,0.005247990488942775,"[0.9446456604667917, 3.3030843103558254e-08, 0.00044889662726138113, 0.00031388518909254096, 0.054591524686011236]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+6,41,-0.056248758,0.025906589,0,0.0427577370990756,0.005247990488942775,"[0.8444477662011001, 1.4904427757792692e-07, 5.027072265342135e-06, 0.00362750738703193, 0.15191955029532514]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+6,42,-0.15132618,0.02146309,4,-0.22116285947009362,0.0003205084323621392,"[0.11796479391054904, 2.5060854444086867e-10, 1.2526563022254288e-05, 0.0005572090816226298, 0.8814654701941974]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+6,43,-0.18518934,0.0027779788,4,-0.22116285947009362,0.0003205084323621392,"[0.05583844918039231, 5.7213783277643956e-11, 3.99113570552391e-06, 0.0005051935458411346, 0.9436523660808472]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+6,44,0.5118622,-0.024860546,1,0.40101135222136347,-0.08431752781116728,"[7.155138343172283e-05, 0.9999276698328985, 5.955414431654943e-20, 7.787836697452505e-07, 1.7604373495330773e-28]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+6,45,-0.0018669573,0.3644946,2,-0.09439776903147923,0.33276233402626737,"[0.0016919539217351697, 3.0954531183626174e-17, 0.9983036299450915, 1.119365257135047e-12, 4.4161320538364875e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+6,46,-0.24925767,0.015651966,4,-0.22116285947009362,0.0003205084323621392,"[0.012080912595848458, 2.4613821036465953e-13, 2.5591349015928367e-05, 6.362834789388238e-05, 0.9878298677069954]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+6,47,0.2804453,-0.1894261,1,0.40101135222136347,-0.08431752781116728,"[0.004208046159800317, 0.9922763985555291, 1.5676778383225838e-23, 0.0035155552846706057, 3.993069030082547e-17]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+6,48,0.37225774,-0.11562894,1,0.40101135222136347,-0.08431752781116728,"[0.0010500783204350436, 0.9988002843791988, 1.7993946504748552e-21, 0.00014963730036607722, 6.498784373596977e-21]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+6,49,0.1460578,0.21914145,0,0.0427577370990756,0.005247990488942775,"[0.9818141818035043, 2.978255652715789e-07, 0.018181919266063853, 1.9067057148364769e-06, 1.694399151554291e-06]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+6,50,0.07159563,-0.024327766,0,0.0427577370990756,0.005247990488942775,"[0.9770571629888307, 0.0005213934551738986, 7.79565808694769e-10, 0.02236651113313293, 5.4931643296561677e-05]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+6,51,-0.078428976,-0.18954016,3,-0.13166962999242665,-0.2751748826190349,"[0.30607181646537324, 0.00016016179458092265, 8.787535740976485e-16, 0.6923551930730347, 0.0014128286670100794]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+6,52,-0.23586994,0.37846398,2,-0.09439776903147923,0.33276233402626737,"[3.366647504712079e-06, 1.009123636239546e-26, 0.999987683086722, 3.115699009659272e-16, 8.95026577301595e-06]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+6,53,-0.15925287,-0.015642455,4,-0.22116285947009362,0.0003205084323621392,"[0.1384687013554004, 1.2723414312824545e-09, 7.698453847803821e-07, 0.002437062415664213, 0.8590934651112092]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+6,54,0.38273144,-0.19184409,1,0.40101135222136347,-0.08431752781116728,"[0.00016131343917404173, 0.9997440701465711, 1.1861344926682419e-26, 9.461641425474742e-05, 1.7384580088266347e-23]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+6,55,-0.029614072,-0.05991212,0,0.0427577370990756,0.005247990488942775,"[0.9217765134977485, 2.5046778952977713e-05, 7.191241426801001e-10, 0.06695289481597443, 0.011245544188199843]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+6,56,-0.041920777,-0.1336057,0,0.0427577370990756,0.005247990488942775,"[0.6372623148516856, 0.00018865739122120287, 3.0152780831908146e-13, 0.360008305455869, 0.002540722300922577]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+6,57,-0.05421332,-0.22073112,3,-0.13166962999242665,-0.2751748826190349,"[0.19506676630635564, 0.0007712749795627989, 4.4879046371765735e-18, 0.8040683838064259, 9.357490765574488e-05]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+6,58,-0.19589648,0.09422963,4,-0.22116285947009362,0.0003205084323621392,"[0.023550721446244895, 1.0006754350463853e-13, 0.003233513934866021, 5.930291090202678e-06, 0.9732098343276988]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+6,59,0.09615892,0.18102637,0,0.0427577370990756,0.005247990488942775,"[0.9933635688170476, 1.627464050340378e-07, 0.006561257247378271, 9.937377684654073e-06, 6.507381148453348e-05]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+6,60,-0.013711061,-0.07216554,0,0.0427577370990756,0.005247990488942775,"[0.9032315889100925, 8.091865925489465e-05, 1.1421718999702224e-10, 0.09308026100327396, 0.003607231313161415]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+6,61,0.49365819,-0.019841706,1,0.40101135222136347,-0.08431752781116728,"[0.00015041589934000713, 0.9998480766907775, 3.653594962819751e-19, 1.5074098824200384e-06, 4.803732527502549e-27]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+6,62,-0.096782275,0.2680031,2,-0.09439776903147923,0.33276233402626737,"[0.006080561562328835, 1.962017341892498e-16, 0.9891590066678749, 5.545080910754226e-10, 0.004760431215287959]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+6,63,-0.07022652,-0.30347943,3,-0.13166962999242665,-0.2751748826190349,"[0.05304278550597731, 0.0015133801047273107, 3.9320984945885766e-23, 0.945441678680158, 2.155709137427351e-06]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+6,64,-0.08510746,-0.26066056,3,-0.13166962999242665,-0.2751748826190349,"[0.09619212741146972, 0.0004335625454580483, 4.508220868182062e-20, 0.9033262876850738, 4.80223579983637e-05]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+6,65,-0.00251228,0.3769304,2,-0.09439776903147923,0.33276233402626737,"[0.0011344589256040692, 8.867904085765246e-18, 0.9988632057717952, 3.643438693544423e-13, 2.3353022362593055e-06]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+6,66,0.42614552,0.08994585,1,0.40101135222136347,-0.08431752781116728,"[0.039213214712258145, 0.9607711186760615, 3.1008410443532536e-11, 1.566658067201744e-05, 5.516806864185654e-20]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+6,67,0.25132486,-0.20319358,1,0.40101135222136347,-0.08431752781116728,"[0.007951586888688696, 0.982643377290689, 1.3933649606597834e-23, 0.009405035820621443, 8.177888452069396e-16]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+6,68,-0.18157998,0.03947093,4,-0.22116285947009362,0.0003205084323621392,"[0.04396663439864846, 7.98982541023824e-12, 5.8830447627624126e-05, 0.00010226530392302664, 0.9558722698418112]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+6,69,-0.12251995,-0.049827244,4,-0.22116285947009362,0.0003205084323621392,"[0.48607500001222287, 1.282340981681626e-07, 2.9408333796953972e-08, 0.026723119279930006, 0.4872017230654151]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+6,70,-0.18423451,0.25213403,2,-0.09439776903147923,0.33276233402626737,"[0.0010530555946903029, 5.542470431784564e-19, 0.9852381644992023, 1.5989667838640118e-10, 0.013708779746210868]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+6,71,-0.04843812,0.4040603,2,-0.09439776903147923,0.33276233402626737,"[0.00018622809891988108, 1.3967263693358057e-20, 0.9998121938961331, 9.625692305221903e-15, 1.5780049373777727e-06]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+6,72,0.25011468,-0.18353273,1,0.40101135222136347,-0.08431752781116728,"[0.012881808713839604, 0.9763692602540712, 3.058840402676917e-22, 0.010748931032085896, 3.192271712094544e-15]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+6,73,0.24778247,-0.18444899,1,0.40101135222136347,-0.08431752781116728,"[0.013608444302675736, 0.9747492447126032, 3.1233109595146913e-22, 0.011642310984716981, 4.0902219197839185e-15]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+6,74,-0.17648138,-0.41862112,3,-0.13166962999242665,-0.2751748826190349,"[0.01007118506194558, 0.0001826259909007378, 3.717116272577252e-29, 0.9897460268687831, 1.6207837058367672e-07]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+6,75,-0.16704087,-0.3598848,3,-0.13166962999242665,-0.2751748826190349,"[0.01873821445451362, 9.101969256212256e-05, 3.1549555214793834e-25, 0.9811666765315614, 4.0893213626809435e-06]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+6,76,0.61073065,0.018717432,1,0.40101135222136347,-0.08431752781116728,"[6.3821236004807025e-06, 0.9999936013690757, 3.8011489508012406e-20, 1.6507323908915762e-08, 3.7716495620525925e-35]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+6,77,-0.07488669,0.3827278,2,-0.09439776903147923,0.33276233402626737,"[0.00017187405671439046, 1.0791918985551459e-20, 0.9998210960826481, 2.8146110068320383e-14, 7.0298606091315315e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+6,78,0.022653038,0.24370801,2,-0.09439776903147923,0.33276233402626737,"[0.34045167872077586, 3.9845844264308616e-11, 0.658063394283913, 1.5474338714237292e-07, 0.0014847722120780223]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+6,79,0.24368975,0.18879418,0,0.0427577370990756,0.005247990488942775,"[0.9996142234233333, 0.00016532984686580966, 0.00021180061937105558, 8.645518159419036e-06, 5.922702878077837e-10]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+6,80,-0.16938657,-0.05973538,4,-0.22116285947009362,0.0003205084323621392,"[0.18713048264290805, 8.787337560896237e-09, 2.4465567829322848e-08, 0.014102208696856402, 0.7987672754073302]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+6,81,-0.25151917,-0.28693447,3,-0.13166962999242665,-0.2751748826190349,"[0.04223636569073628, 7.691241112449433e-07, 8.08363109879157e-19, 0.9550906302230417, 0.0026722349621105495]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+6,82,0.04577409,-0.24324691,3,-0.13166962999242665,-0.2751748826190349,"[0.16554053293235302, 0.05155264314236918, 3.705075522113556e-21, 0.7829067368473307, 8.707794705126397e-08]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+6,83,-0.22563006,-0.049784996,4,-0.22116285947009362,0.0003205084323621392,"[0.04203641374011053, 8.365520201072704e-11, 1.1684177704506905e-07, 0.0022689154932668924, 0.9556945538411903]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+6,84,-0.20074943,0.040258985,4,-0.22116285947009362,0.0003205084323621392,"[0.02701872685801245, 1.7637196889919508e-12, 7.506022129379972e-05, 5.9468147032142294e-05, 0.9728467447718978]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+6,85,-0.1496939,0.30529067,2,-0.09439776903147923,0.33276233402626737,"[0.0003089180205417234, 3.7976281982893294e-20, 0.9989582894666112, 3.0841859656270635e-12, 0.0007327925097628466]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+6,86,0.2630342,0.051892787,0,0.0427577370990756,0.005247990488942775,"[0.9023586021046817, 0.0961221994448095, 2.2539209921760575e-09, 0.0015191961658662025, 3.072188148343023e-11]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+6,87,0.61719507,-0.024593957,1,0.40101135222136347,-0.08431752781116728,"[2.1944106950956216e-06, 0.9999977883013047, 9.75352178803976e-23, 1.728800023344904e-08, 1.5555555113156308e-36]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+6,88,-0.14552048,-0.15470643,3,-0.13166962999242665,-0.2751748826190349,"[0.4304137872155459, 3.722438092083886e-06, 1.0436760941164669e-12, 0.47496439500121146, 0.09461809534410699]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+6,89,0.004352061,-0.07103703,0,0.0427577370990756,0.005247990488942775,"[0.9092434080427249, 0.00016946141831678012, 6.77101420730552e-11, 0.08924887188647836, 0.0013382585847699514]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+6,90,-0.31772932,0.41427824,2,-0.09439776903147923,0.33276233402626737,"[2.0067679203343703e-07, 1.583777319261156e-31, 0.9999994837999915, 1.2087035143686238e-18, 3.1552321655222014e-07]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+6,91,-0.118134014,0.26676714,2,-0.09439776903147923,0.33276233402626737,"[0.003566472647864418, 3.582491297561715e-17, 0.9904816153112314, 3.214075065448378e-10, 0.005951911719496679]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+6,92,-0.19037005,0.30377576,2,-0.09439776903147923,0.33276233402626737,"[0.0001075007467629565, 1.2224098979996038e-21, 0.9991852262720061, 9.794584015307032e-13, 0.0007072729802514716]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+6,93,-0.18803668,0.09546091,4,-0.22116285947009362,0.0003205084323621392,"[0.028417237807196412, 1.7128378334912433e-13, 0.0032768823766093575, 6.8996769312916144e-06, 0.9682989801390917]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+6,94,0.32727078,-0.11709024,1,0.40101135222136347,-0.08431752781116728,"[0.004664043842262914, 0.9945479508320602, 2.96006394263481e-20, 0.0007880053256769783, 4.2044718183936925e-18]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+6,95,0.3095995,0.5030761,2,-0.09439776903147923,0.33276233402626737,"[0.027983023995722587, 9.166534737038336e-12, 0.9720169759950937, 1.6958460942568607e-14, 4.580081629087762e-16]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+6,96,-0.26364937,-0.38828564,3,-0.13166962999242665,-0.2751748826190349,"[0.009737949290565581, 3.5959828079265087e-06, 2.219713381588488e-25, 0.9902487133083288, 9.741418297640478e-06]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+6,97,-0.25224024,-0.31188005,3,-0.13166962999242665,-0.2751748826190349,"[0.02810542906516176, 1.2279803038115513e-06, 1.9646431198396308e-20, 0.9712263451945573, 0.0006669977599769627]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+6,98,-0.30068702,-0.14781809,4,-0.22116285947009362,0.0003205084323621392,"[0.07141868894617201, 4.6229847094951024e-10, 1.9583207817747807e-10, 0.0744316737099726, 0.8541496366857249]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+6,99,-0.09486352,0.005280091,0,0.0427577370990756,0.005247990488942775,"[0.5616061319915598, 4.1621135434103816e-08, 2.0732011656596534e-06, 0.004925608818104004, 0.4334661443680351]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+7,0,0.08799766,-0.06060414,0,0.020754855109218255,-0.0015496373271435444,"[0.9882895792530237, 0.002352471553360791, 8.05866393962611e-12, 0.009357413745644092, 5.354399127781973e-07]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+7,1,-0.08406016,0.2851326,2,-0.09021008434208137,0.33599657753345624,"[0.0018671868775310605, 2.2491229137747818e-17, 0.9862298816903031, 8.321828111576015e-26, 0.01190293143216582]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+7,2,-0.16364236,-0.11411294,0,0.020754855109218255,-0.0015496373271435444,"[0.5078584950130522, 3.5303545338683676e-08, 5.09839701976385e-11, 0.0005815141815586239, 0.49155995545085973]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+7,3,0.07371062,-0.27021888,3,-0.10069489455834035,-0.2953687230393288,"[0.026072402255514, 0.06498497525984027, 4.4569186912082065e-24, 0.9089426171131797, 5.3714659873619725e-09]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+7,4,-0.1284643,0.3103237,2,-0.09021008434208137,0.33599657753345624,"[0.00014846974875449697, 2.6444009523703868e-20, 0.9882577143137773, 6.125637002722972e-30, 0.011593815937468228]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+7,5,-0.23808402,0.26056772,2,-0.09021008434208137,0.33599657753345624,"[5.3828294288420944e-05, 1.6028517958942805e-22, 0.9315657358439654, 1.5336461509216816e-29, 0.06838043586174623]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+7,6,-0.10493148,-0.30384988,3,-0.10069489455834035,-0.2953687230393288,"[0.032067358402361176, 8.764741925986913e-05, 2.5797654877400765e-23, 0.9674805398617192, 0.00036445431665972156]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+7,7,-0.295713,-0.42771262,3,-0.10069489455834035,-0.2953687230393288,"[0.007095743224674532, 2.0227186261905641e-07, 1.1402552660086897e-28, 0.9903234753243877, 0.0025805791790750898]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+7,8,-0.3188932,-0.023905918,4,-0.22886858892395276,-0.010936348578798346,"[0.018125432483970638, 2.582863948805903e-15, 4.543812834323352e-06, 3.782279106540957e-11, 0.9818700236653697]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+7,9,0.52375084,0.03593809,1,0.4088955226662046,-0.08058117742215871,"[9.539700363350637e-05, 0.9998837026064318, 1.277541948429592e-16, 2.090038993451045e-05, 3.4624597807558636e-35]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+7,10,-0.24769914,0.06194072,4,-0.22886858892395276,-0.010936348578798346,"[0.011702168969498385, 1.3398544183163904e-15, 0.00044491045672827827, 1.6488080902716442e-14, 0.9878529205737555]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+7,11,0.45866024,0.07679337,1,0.4088955226662046,-0.08058117742215871,"[0.004945796169370302, 0.9950264777339001, 1.1455477679926812e-12, 2.7726095583965027e-05, 1.4877904354813822e-28]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+7,12,-0.21952832,-0.2596673,3,-0.10069489455834035,-0.2953687230393288,"[0.2389585033171465, 4.459164538066008e-07, 4.8994779113468616e-18, 0.5631297599182573, 0.19791129084814252]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+7,13,0.5387558,-0.021885695,1,0.4088955226662046,-0.08058117742215871,"[9.272342624574505e-06, 0.9999632288469646, 2.996996863300919e-20, 2.7498810410822474e-05, 1.4388141937511355e-37]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+7,14,-0.31746334,-0.03755091,4,-0.22886858892395276,-0.010936348578798346,"[0.021845298548332465, 6.83278336541597e-15, 1.4198488971597002e-06, 2.1402714381392936e-10, 0.9781532813887364]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+7,15,0.21572201,0.15297481,0,0.020754855109218255,-0.0015496373271435444,"[0.9998045190914933, 0.00015791479714756426, 3.7561027742577375e-05, 5.063670465812695e-09, 1.9946164274424657e-11]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+7,16,-0.17784788,-0.16018736,0,0.020754855109218255,-0.0015496373271435444,"[0.5255333641639495, 1.2985012806929069e-07, 4.881529419267254e-13, 0.010927871945149922, 0.4635386340402845]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+7,17,0.12485067,-0.17534988,3,-0.10069489455834035,-0.2953687230393288,"[0.14582567997937174, 0.13455888809793265, 9.406670517901512e-19, 0.7196154310235563, 8.991393318303885e-10]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+7,18,-0.045080878,-0.32160506,3,-0.10069489455834035,-0.2953687230393288,"[0.018722893359211203, 0.0014619795220486142, 1.4903910447389143e-25, 0.9798066148584833, 8.512260256750301e-06]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+7,19,-0.29219365,-0.1354431,4,-0.22886858892395276,-0.010936348578798346,"[0.08492416683055633, 1.3925898821031692e-11, 8.559313359853236e-11, 1.929526109327371e-05, 0.9150565378088314]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+7,20,0.22983314,0.005944166,0,0.020754855109218255,-0.0015496373271435444,"[0.8812020334838587, 0.1162820561715024, 9.312850592653619e-11, 0.002515910250832068, 6.78408645466887e-13]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+7,21,-0.2313607,0.15489271,4,-0.22886858892395276,-0.010936348578798346,"[0.003955002193350074, 7.940693203641984e-18, 0.09325129076009343, 3.748770374180257e-20, 0.9027937070465565]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+7,22,0.44196302,-0.22339565,1,0.4088955226662046,-0.08058117742215871,"[1.181022408246913e-06, 0.9999660529821731, 2.0957926086165333e-30, 3.276599541853384e-05, 3.6320407402584726e-32]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+7,23,0.31953293,-0.23248373,1,0.4088955226662046,-0.08058117742215871,"[7.066313610738961e-05, 0.9974616979133571, 1.0453762843472156e-27, 0.002467638950535611, 9.056818744090255e-23]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+7,24,0.0025802255,-0.08199731,0,0.020754855109218255,-0.0015496373271435444,"[0.993803683909119, 8.858746439945567e-05, 1.217429673235522e-11, 0.00581206645068138, 0.0002956621636258448]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+7,25,0.023439856,-0.079839304,0,0.020754855109218255,-0.0015496373271435444,"[0.9917033568495732, 0.00022593453973151332, 7.883366696804754e-12, 0.008000563841761123, 7.014476105063238e-05]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+7,26,-0.06371302,0.3954228,2,-0.09021008434208137,0.33599657753345624,"[3.203699906924814e-05, 2.275957400728361e-21, 0.9996224329596065, 1.5200166254132537e-35, 0.0003455300413243082]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+7,27,-0.2963673,0.015343715,4,-0.22886858892395276,-0.010936348578798346,"[0.011975218816459254, 8.543692174201278e-16, 4.764482175323743e-05, 6.582224402061343e-13, 0.9879771363611284]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+7,28,0.08612508,0.3898904,2,-0.09021008434208137,0.33599657753345624,"[0.0021229799385246786, 2.114975604261462e-15, 0.9978766149528565, 5.177712671582665e-29, 4.05108616664242e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+7,29,-0.20296153,0.2345368,2,-0.09021008434208137,0.33599657753345624,"[0.0005823981837180994, 7.588191123668316e-20, 0.7882932086965495, 1.07901964150114e-25, 0.21112439311973238]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+7,30,-0.3021013,-0.23802479,4,-0.22886858892395276,-0.010936348578798346,"[0.2249046457229706, 2.2399435235826743e-09, 1.7183041207722623e-15, 0.05030508072798302, 0.724790271309101]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+7,31,0.40233114,0.06031101,1,0.4088955226662046,-0.08058117742215871,"[0.02829978836652462, 0.9715759482909525, 5.633461401792951e-12, 0.00012426333688960587, 4.677345049567711e-24]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+7,32,-0.31179968,-0.050893012,4,-0.22886858892395276,-0.010936348578798346,"[0.02658335362200402, 2.2888841575596567e-14, 3.8382597166011116e-07, 1.3072682036033175e-09, 0.9734162612447332]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+7,33,0.11298243,0.035079706,0,0.020754855109218255,-0.0015496373271435444,"[0.9998299485609887, 0.0001568506078039857, 4.129797125133206e-08, 1.2983544886979528e-05, 1.7598834921506738e-07]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+7,34,-0.23456638,0.06657637,4,-0.22886858892395276,-0.010936348578798346,"[0.014093285780862047, 2.77613923713112e-15, 0.000498005805026396, 1.955209301376584e-14, 0.9854087084140892]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+7,35,0.11017645,-0.16371755,3,-0.10069489455834035,-0.2953687230393288,"[0.244577837707769, 0.07852534122203807, 1.0080327897817287e-17, 0.6768968146506278, 6.419565245737938e-09]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+7,36,0.1429859,0.059452157,0,0.020754855109218255,-0.0015496373271435444,"[0.9997508120725621, 0.00024520346522933465, 1.5101386621070338e-07, 3.819619618685878e-06, 1.3828723622759748e-08]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+7,37,-0.040502112,0.02318828,0,0.020754855109218255,-0.0015496373271435444,"[0.9840203948537933, 9.709867532866755e-08, 1.4262770444620585e-06, 2.9356534057897924e-07, 0.0159777882051463]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+7,38,-0.06471333,0.08954511,0,0.020754855109218255,-0.0015496373271435444,"[0.8675638449263751, 9.74410566522622e-10, 0.0007513369580826482, 8.99025122780705e-11, 0.1316848170512293]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+7,39,0.06407858,0.09707585,0,0.020754855109218255,-0.0015496373271435444,"[0.9999412433849572, 8.362521581147845e-07, 3.2862969764029785e-05, 6.525750022188194e-09, 2.5050867370612084e-05]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+7,40,-0.021407472,0.09407413,0,0.020754855109218255,-0.0015496373271435444,"[0.9876803574605183, 9.741653380033454e-09, 0.0003232384914145955, 3.4153203715574634e-10, 0.011996393964881703]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+7,41,-0.056248758,0.025906589,0,0.020754855109218255,-0.0015496373271435444,"[0.9597014116426913, 3.5879800012253116e-08, 2.920259432299629e-06, 1.2865947336756427e-07, 0.040295503558603]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+7,42,-0.15132618,0.02146309,4,-0.22886858892395276,-0.010936348578798346,"[0.2255123807246385, 5.516621919212927e-11, 1.0192449100831884e-05, 1.6534616036496051e-09, 0.7744774251176328]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+7,43,-0.18518934,0.0027779788,4,-0.22886858892395276,-0.010936348578798346,"[0.10597982413019458, 9.530133103980168e-12, 2.7804532730495363e-06, 1.6585828890698564e-09, 0.8940173937484193]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+7,44,0.5118622,-0.024860546,1,0.4088955226662046,-0.08058117742215871,"[2.2820222604378512e-05, 0.9999232978898344, 9.949563468320692e-20, 5.388188756146037e-05, 3.767773666873123e-35]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+7,45,-0.0018669573,0.3644946,2,-0.09021008434208137,0.33599657753345624,"[0.0005495882559568784, 1.1318768106785836e-17, 0.9993766866901878, 4.5332893278146584e-30, 7.37250538553958e-05]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+7,46,-0.24925767,0.015651966,4,-0.22886858892395276,-0.010936348578798346,"[0.021300955579001656, 2.4688623781604292e-14, 1.6382151296452966e-05, 7.330580329248566e-12, 0.9786826622623466]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+7,47,0.2804453,-0.1894261,1,0.4088955226662046,-0.08058117742215871,"[0.00106267347063684, 0.9754032771022942, 1.2055291968282877e-23, 0.023534049427068823, 2.8979359423936015e-19]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+7,48,0.37225774,-0.11562894,1,0.4088955226662046,-0.08058117742215871,"[0.000288030123731677, 0.9972275715584872, 1.9011188099585803e-21, 0.002484398317781041, 7.347327653061258e-25]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+7,49,0.1460578,0.21914145,0,0.020754855109218255,-0.0015496373271435444,"[0.9796405459061001, 2.022406976998821e-07, 0.020359182273228988, 1.1744955643487478e-13, 6.957985580694559e-08]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+7,50,0.07159563,-0.024327766,0,0.020754855109218255,-0.0015496373271435444,"[0.9992504815146265, 0.0002464362662102016, 5.229001538469902e-10, 0.0004998675644114458, 3.2141318520540604e-06]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+7,51,-0.078428976,-0.18954016,0,0.020754855109218255,-0.0015496373271435444,"[0.5987803863036731, 7.641436137152455e-05, 5.231161545761032e-16, 0.3946058354306841, 0.006537363904270587]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+7,52,-0.23586994,0.37846398,2,-0.09021008434208137,0.33599657753345624,"[3.603655426703262e-07, 8.726206128455241e-28, 0.9972185002875743, 2.8326329771499954e-41, 0.002781139346882999]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+7,53,-0.15925287,-0.015642455,4,-0.22886858892395276,-0.010936348578798346,"[0.26068987999736565, 2.458021323165912e-10, 5.102772050256602e-07, 6.580812257146742e-08, 0.7393095436715045]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+7,54,0.38273144,-0.19184409,1,0.4088955226662046,-0.08058117742215871,"[2.1479580686190036e-05, 0.9993281682346151, 1.0740907675609285e-26, 0.0006503521846987247, 6.30902408897691e-27]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+7,55,-0.029614072,-0.05991212,0,0.020754855109218255,-0.0015496373271435444,"[0.996371854382389, 6.9716614033166035e-06, 3.430494873441363e-10, 0.0005501144206795333, 0.003071059192478943]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+7,56,-0.041920777,-0.1336057,0,0.020754855109218255,-0.0015496373271435444,"[0.9402498060790202, 7.671777317883548e-05, 1.6981122861921728e-13, 0.05707093273594572, 0.002602543411685197]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+7,57,-0.05421332,-0.22073112,3,-0.10069489455834035,-0.2953687230393288,"[0.21893139454981356, 0.0002996781443933847, 1.7503120856373603e-18, 0.7802991665034854, 0.00046976080230780965]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+7,58,-0.19589648,0.09422963,4,-0.22886858892395276,-0.010936348578798346,"[0.024583253674388524, 1.1344718872013484e-14, 0.0021220690698509487, 5.507174055173364e-15, 0.9732946772557436]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+7,59,0.09615892,0.18102637,0,0.020754855109218255,-0.0015496373271435444,"[0.9934311829161755, 8.837375605221313e-08, 0.006564071059118401, 1.552969711243715e-12, 4.657649397051698e-06]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+7,60,-0.013711061,-0.07216554,0,0.020754855109218255,-0.0015496373271435444,"[0.9969822511253515, 2.6212890741076878e-05, 5.7923203512679855e-11, 0.002014206971415415, 0.0009773289545685667]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+7,61,0.49365819,-0.019841706,1,0.4088955226662046,-0.08058117742215871,"[5.250084227487209e-05, 0.9998661322260973, 5.809797988734754e-19, 8.136693162782753e-05, 1.9980659961968117e-33]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+7,62,-0.096782275,0.2680031,2,-0.09021008434208137,0.33599657753345624,"[0.003042992851285036, 4.403569307080507e-17, 0.9679673028219988, 1.0758991744217079e-24, 0.028989704326716124]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+7,63,-0.07022652,-0.30347943,3,-0.10069489455834035,-0.2953687230393288,"[0.02728617924639632, 0.000365385728538521, 6.678012198073143e-24, 0.9722901369234778, 5.8298101587256006e-05]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+7,64,-0.08510746,-0.26066056,3,-0.10069489455834035,-0.2953687230393288,"[0.0858453256059773, 0.00012183498118253325, 1.1610293442941826e-20, 0.9134270349095734, 0.0006058045032667539]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+7,65,-0.00251228,0.3769304,2,-0.09021008434208137,0.33599657753345624,"[0.0003346928722932887, 3.249382547263558e-18, 0.9996089352250203, 2.8574417554929637e-31, 5.637190268642322e-05]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+7,66,0.42614552,0.08994585,1,0.4088955226662046,-0.08058117742215871,"[0.029986353769380525, 0.9699826637301838, 4.521526054519802e-11, 3.0982455220359904e-05, 1.7671708814479648e-25]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+7,67,0.25132486,-0.20319358,1,0.4088955226662046,-0.08058117742215871,"[0.002133996167854208, 0.9461226310756428, 9.84972277823026e-24, 0.051743372756503085, 1.7312524378663436e-17]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+7,68,-0.18157998,0.03947093,4,-0.22886858892395276,-0.010936348578798346,"[0.07539204831045795, 1.3458580393210124e-12, 4.546802931447249e-05, 2.396272838603334e-11, 0.924562483634919]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+7,69,-0.12251995,-0.049827244,0,0.020754855109218255,-0.0015496373271435444,"[0.6945760788045606, 2.4073207857224014e-08, 1.414339675210157e-08, 1.3237475321484992e-05, 0.30541064550351316]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+7,70,-0.18423451,0.25213403,2,-0.09021008434208137,0.33599657753345624,"[0.0004437237703006967, 6.841338713656285e-20, 0.8802834294859184, 1.3315196095252094e-26, 0.11927284674378075]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+7,71,-0.04843812,0.4040603,2,-0.09021008434208137,0.33599657753345624,"[3.66273226903472e-05, 4.104916618393204e-21, 0.9997800011258349, 9.465685639563338e-36, 0.00018337155147463483]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+7,72,0.25011468,-0.18353273,1,0.4088955226662046,-0.08058117742215871,"[0.004026039473673414, 0.9274211069817324, 2.2663017274643604e-22, 0.06855285354459413, 4.502211807561237e-17]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+7,73,0.24778247,-0.18444899,1,0.4088955226662046,-0.08058117742215871,"[0.004273938773292509, 0.9226065262688046, 2.2969325769223764e-22, 0.07311953495790292, 6.231925511606098e-17]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+7,74,-0.17648138,-0.41862112,3,-0.10069489455834035,-0.2953687230393288,"[0.008879795538016733, 5.0428256600850186e-05, 5.224458847029837e-30, 0.9906228986980147, 0.00044687750736789865]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+7,75,-0.16704087,-0.3598848,3,-0.10069489455834035,-0.2953687230393288,"[0.01432936079691673, 1.616843542722184e-05, 3.988628486914095e-26, 0.9846736553647387, 0.0009808154029173658]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+7,76,0.61073065,0.018717432,1,0.4088955226662046,-0.08058117742215871,"[2.2725074304616024e-06, 0.9999936649223649, 9.179511328684826e-20, 4.062570204590003e-06, 8.419094619033238e-44]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+7,77,-0.07488669,0.3827278,2,-0.09021008434208137,0.33599657753345624,"[3.651111660574411e-05, 2.7157916481889132e-21, 0.9993559506586264, 9.034300714983681e-35, 0.0006075382247679087]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+7,78,0.022653038,0.24370801,2,-0.09021008434208137,0.33599657753345624,"[0.2764236565679716, 1.786236302852386e-11, 0.7224187811623931, 2.8007577002042092e-18, 0.0011575622517727981]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+7,79,0.24368975,0.18879418,0,0.020754855109218255,-0.0015496373271435444,"[0.9996361583241589, 0.00013069158859965158, 0.00023314978255053665, 3.034878713840714e-10, 1.203370993855538e-12]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+7,80,-0.16938657,-0.05973538,4,-0.22886858892395276,-0.010936348578798346,"[0.30354218804346067, 1.3070915122743292e-09, 1.128386165847245e-08, 3.4684712420097256e-06, 0.6964543308943439]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+7,81,-0.25151917,-0.28693447,3,-0.10069489455834035,-0.2953687230393288,"[0.13955147846519841, 1.545450361695129e-07, 2.618106811380516e-19, 0.7078995154091766, 0.15254885158058876]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+7,82,0.04577409,-0.24324691,3,-0.10069489455834035,-0.2953687230393288,"[0.05198999622846012, 0.01558825655371448, 7.998750926190491e-22, 0.9324216223689765, 1.248488487940447e-07]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+7,83,-0.22563006,-0.049784996,4,-0.22886858892395276,-0.010936348578798346,"[0.0759533294239674, 8.929046585547816e-12, 5.45179719364053e-08, 6.030647258613764e-08, 0.9240465557426591]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+7,84,-0.20074943,0.040258985,4,-0.22886858892395276,-0.010936348578798346,"[0.04402213774961814, 2.487638825446285e-13, 5.4346834108822117e-05, 5.994581604745813e-12, 0.9559235154100297]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+7,85,-0.1496939,0.30529067,2,-0.09021008434208137,0.33599657753345624,"[9.84093440617861e-05, 6.118132658056986e-21, 0.9827323309377286, 2.620597384817333e-30, 0.017169259718209727]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+7,86,0.2630342,0.051892787,0,0.020754855109218255,-0.0015496373271435444,"[0.9077932182825538, 0.09199219292824963, 2.7391699998354628e-09, 0.00021458605000416412, 2.264735042088284e-14]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+7,87,0.61719507,-0.024593957,1,0.4088955226662046,-0.08058117742215871,"[5.368926154044938e-07, 0.9999954690875364, 2.402099744886435e-22, 3.994019848254606e-06, 3.9949704283223843e-45]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+7,88,-0.14552048,-0.15470643,0,0.020754855109218255,-0.0015496373271435444,"[0.7456113715524257, 7.821979123635256e-07, 4.150763391438343e-13, 0.02122642825720057, 0.23316141799204626]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+7,89,0.004352061,-0.07103703,0,0.020754855109218255,-0.0015496373271435444,"[0.996786717462038, 6.16304506544132e-05, 3.6618905910057686e-11, 0.0028538458162394877, 0.00029780623444915265]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+7,90,-0.31772932,0.41427824,2,-0.09021008434208137,0.33599657753345624,"[8.814216821405226e-09, 6.93551873387925e-33, 0.9996145927989666, 8.242296127334942e-49, 0.0003853983868165744]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+7,91,-0.118134014,0.26676714,2,-0.09021008434208137,0.33599657753345624,"[0.0016877228946485735, 7.033466897358372e-18, 0.9546602185570667, 2.128020567999476e-25, 0.04365205854828471]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+7,92,-0.19037005,0.30377576,2,-0.09021008434208137,0.33599657753345624,"[3.0203331027670975e-05, 1.5062565862565438e-22, 0.9784808203954698, 8.119899434553541e-32, 0.021488976273502502]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+7,93,-0.18803668,0.09546091,4,-0.22886858892395276,-0.010936348578798346,"[0.030275241502355672, 2.088576633633152e-14, 0.002214021986441922, 8.213251647483099e-15, 0.9675107365111733]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+7,94,0.32727078,-0.11709024,1,0.4088955226662046,-0.08058117742215871,"[0.001587590572083674, 0.9889179732810276, 2.911230211610783e-20, 0.009494436146888746, 2.0100461833061426e-21]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+7,95,0.3095995,0.5030761,2,-0.09021008434208137,0.33599657753345624,"[0.012987074835311559, 1.0992458451896377e-11, 0.9870129251536957, 9.710789794380834e-31, 2.1728327844428293e-16]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+7,96,-0.26364937,-0.38828564,3,-0.10069489455834035,-0.2953687230393288,"[0.011512032363417456, 3.621876495317684e-07, 2.0359420535975015e-26, 0.9836491173891928, 0.004838488059740257]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+7,97,-0.25224024,-0.31188005,3,-0.10069489455834035,-0.2953687230393288,"[0.06811667144487554, 1.982014286285739e-07, 4.426732384569009e-21, 0.8750955472597124, 0.05678758309398332]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+7,98,-0.30068702,-0.14781809,4,-0.22886858892395276,-0.010936348578798346,"[0.09299274122123619, 1.6923884395575283e-11, 3.228837110492224e-11, 4.574039063027649e-05, 0.9069615183389214]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+7,99,-0.09486352,0.005280091,0,0.020754855109218255,-0.0015496373271435444,"[0.8017898336459279, 9.704945783404093e-09, 1.299624748544054e-06, 2.230899863470268e-07, 0.1982086339343916]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+8,0,0.08799766,-0.06060414,0,-0.02195575511983637,-0.031135983750233142,"[0.9946739309332029, 0.002498788106197853, 2.0073049584638653e-11, 0.0028272809117215044, 2.880485194001497e-11]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+8,1,-0.08406016,0.2851326,2,-0.09324358495511963,0.33259159061585636,"[0.0014845070789734124, 3.454372596754743e-17, 0.9974399746844395, 5.734912784690972e-34, 0.0010755182365872898]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+8,2,-0.16364236,-0.11411294,0,-0.02195575511983637,-0.031135983750233142,"[0.9679436136100342, 3.3903240674027056e-08, 1.5794600102722225e-10, 2.3041534755596553e-05, 0.032033310794023384]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+8,3,0.07371062,-0.27021888,3,-0.08644916747432467,-0.2978507761281914,"[0.02149779033249842, 0.05162460554588139, 2.3482299077694827e-23, 0.9268776041216202, 2.1945568605240433e-18]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+8,4,-0.1284643,0.3103237,2,-0.09324358495511963,0.33259159061585636,"[0.00011527021944619953, 4.5053753170392113e-20, 0.9994944099414084, 1.8026494950701755e-39, 0.0003903198391453798]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+8,5,-0.23808402,0.26056772,2,-0.09324358495511963,0.33259159061585636,"[4.9915405032501285e-05, 2.7094804478303994e-22, 0.9978160224118718, 2.3564451926929434e-39, 0.0021340621830956592]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+8,6,-0.10493148,-0.30384988,3,-0.08644916747432467,-0.2978507761281914,"[0.06106441517117914, 7.154432462284222e-05, 1.9323848093882881e-22, 0.9388640400299263, 4.742716169948209e-10]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+8,7,-0.295713,-0.42771262,3,-0.08644916747432467,-0.2978507761281914,"[0.04357946675326429, 1.27708110374985e-07, 1.6720340959771493e-27, 0.9564204004604802, 5.078145332452579e-09]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+8,8,-0.3188932,-0.023905918,4,-0.2368787008815704,0.01455678551054199,"[0.034082626546124546, 2.01673885241213e-15, 7.065739607045058e-06, 2.7642794307848445e-15, 0.9659103077142636]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+8,9,0.52375084,0.03593809,1,0.4104136906198055,-0.07932372239453842,"[9.377673880405749e-05, 0.9998261882700922, 1.5697623371099882e-16, 8.003499110338568e-05, 3.9530009386701806e-50]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+8,10,-0.24769914,0.06194072,4,-0.2368787008815704,0.01455678551054199,"[0.014463075652913512, 1.218614235603904e-15, 0.0005522075793961288, 1.3885325936568214e-19, 0.9849847167676892]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+8,11,0.45866024,0.07679337,1,0.4104136906198055,-0.07932372239453842,"[0.0050209188353295495, 0.994930764868273, 1.3247640743839072e-12, 4.83162950725518e-05, 5.557094830262696e-40]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+8,12,-0.21952832,-0.2596673,0,-0.02195575511983637,-0.031135983750233142,"[0.7715166160746175, 3.80921088274662e-07, 3.098802586274512e-17, 0.2281980978322188, 0.0002849051720753485]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+8,13,0.5387558,-0.021885695,1,0.4104136906198055,-0.07932372239453842,"[7.578442452052492e-06, 0.9998828167023132, 4.316498539920331e-20, 0.00010960485523481977, 5.0999705358019445e-55]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+8,14,-0.31746334,-0.03755091,4,-0.2368787008815704,0.01455678551054199,"[0.04348090430503835, 5.332987740874258e-15, 2.366520728333395e-06, 2.9470203372050034e-14, 0.9565167291741984]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+8,15,0.21572201,0.15297481,0,-0.02195575511983637,-0.031135983750233142,"[0.9997661899007544, 0.0001874782715618713, 4.6331772650903504e-05, 5.502797121025656e-11, 4.815910849434216e-15]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+8,16,-0.17784788,-0.16018736,0,-0.02195575511983637,-0.031135983750233142,"[0.990306731867615, 1.0300936952694347e-07, 1.5991716054753668e-12, 0.0009324119025845569, 0.008760753218831564]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+8,17,0.12485067,-0.17534988,3,-0.08644916747432467,-0.2978507761281914,"[0.10809408418528908, 0.11191233593229152, 3.0486357669798254e-18, 0.7799935798824195, 9.775079978921403e-18]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+8,18,-0.045080878,-0.32160506,3,-0.08644916747432467,-0.2978507761281914,"[0.026333697388211133, 0.0011582474226448265, 1.1577639682662404e-24, 0.9725080551890074, 1.3665055893653316e-13]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+8,19,-0.29219365,-0.1354431,4,-0.2368787008815704,0.01455678551054199,"[0.4457960333156776, 2.0893430075639716e-11, 4.651429881789482e-10, 3.271399681513833e-07, 0.5542036390583178]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+8,20,0.22983314,0.005944166,0,-0.02195575511983637,-0.031135983750233142,"[0.8595678655042859, 0.13913931891870976, 1.8736985946184376e-10, 0.0012928153896345, 4.397130177579384e-19]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+8,21,-0.2313607,0.15489271,4,-0.2368787008815704,0.01455678551054199,"[0.008350891973196536, 1.889372668764185e-17, 0.20732312130656108, 8.730590193938481e-27, 0.7843259867202425]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+8,22,0.44196302,-0.22339565,1,0.4104136906198055,-0.07932372239453842,"[4.923253686483626e-07, 0.9999826233766309, 7.310675722134497e-30, 1.6884298000300146e-05, 2.2858469043733786e-53]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+8,23,0.31953293,-0.23248373,1,0.4104136906198055,-0.07932372239453842,"[3.6357451828220655e-05, 0.9977273719293943, 4.4506537167704265e-27, 0.0022362706187776305, 3.8971535214481715e-39]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+8,24,0.0025802255,-0.08199731,0,-0.02195575511983637,-0.031135983750233142,"[0.999091219101959, 7.746791983369932e-05, 2.8350642570529523e-11, 0.0008310740826521581, 2.388672043129834e-07]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+8,25,0.023439856,-0.079839304,0,-0.02195575511983637,-0.031135983750233142,"[0.9983246066762834, 0.00020801297322322972, 1.90059133026636e-11, 0.0014673529836374765, 2.7347849975366412e-08]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+8,26,-0.06371302,0.3954228,2,-0.09324358495511963,0.33259159061585636,"[2.2967210463599092e-05, 4.523071145209818e-21, 0.9999756099358705, 1.54081385396213e-46, 1.4228536659521378e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+8,27,-0.2963673,0.015343715,4,-0.2368787008815704,0.01455678551054199,"[0.018239233835350352, 6.922499125642755e-16, 6.39598783070342e-05, 1.388634600801196e-17, 0.9816968062863419]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+8,28,0.08612508,0.3898904,2,-0.09324358495511963,0.33259159061585636,"[0.0019255007014823318, 3.7327512091109935e-15, 0.9980744962042222, 2.190603078380339e-37, 3.0942918424556515e-09]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+8,29,-0.20296153,0.2345368,2,-0.09324358495511963,0.33259159061585636,"[0.0006182402998610363, 1.3140038679339495e-19, 0.9714049964266224, 3.448694466766538e-34, 0.027976763273516565]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+8,30,-0.3021013,-0.23802479,0,-0.02195575511983637,-0.031135983750233142,"[0.9747968322243532, 1.79269379849032e-09, 9.087574595374669e-15, 0.006266710514738507, 0.018936455468205396]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+8,31,0.40233114,0.06031101,1,0.4104136906198055,-0.07932372239453842,"[0.025992692937149772, 0.9738560474207141, 7.1352907913133075e-12, 0.00015125963500086756, 4.872513685244767e-34]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+8,32,-0.31179968,-0.050893012,4,-0.2368787008815704,0.01455678551054199,"[0.05675871623449924, 1.841535779530266e-14, 7.075474554889e-07, 3.6977980180345215e-13, 0.9432405762176571]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+8,33,0.11298243,0.035079706,0,-0.02195575511983637,-0.031135983750233142,"[0.9998185490258533, 0.0001806630818659174, 7.498996122282344e-08, 7.127799046756611e-07, 1.224148946497832e-10]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+8,34,-0.23456638,0.06657637,4,-0.2368787008815704,0.01455678551054199,"[0.016726954923635826, 2.5410524661445627e-15, 0.0006129216999642095, 1.85356366622086e-19, 0.9826601233763976]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+8,35,0.11017645,-0.16371755,3,-0.08644916747432467,-0.2978507761281914,"[0.20803362383510524, 0.07200486836965547, 3.439260531590134e-17, 0.7199615077952389, 3.973207109867424e-16]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+8,36,0.1429859,0.059452157,0,-0.02195575511983637,-0.031135983750233142,"[0.9997090261514194, 0.00029053612985763174, 2.55962435298764e-07, 1.8175038462997296e-07, 5.902898077599767e-12]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+8,37,-0.040502112,0.02318828,0,-0.02195575511983637,-0.031135983750233142,"[0.9987715791781407, 9.415870717808023e-08, 2.331155316095946e-06, 1.377864655314488e-09, 0.0012259941299711855]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+8,38,-0.06471333,0.08954511,0,-0.02195575511983637,-0.031135983750233142,"[0.9512376286593567, 1.153806642272568e-09, 0.001145042114863998, 2.4985547436842104e-14, 0.04761732807194782]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+8,39,0.06407858,0.09707585,0,-0.02195575511983637,-0.031135983750233142,"[0.9999488748521798, 9.992657485661032e-07, 4.963283320477115e-05, 2.2575453988078864e-11, 4.930262913888302e-07]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+8,40,-0.021407472,0.09407413,0,-0.02195575511983637,-0.031135983750233142,"[0.9975781946006068, 1.1161980917238715e-08, 0.00047149325409943384, 2.041074899847363e-13, 0.0019503009831087]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+8,41,-0.056248758,0.025906589,0,-0.02195575511983637,-0.031135983750233142,"[0.995218633060486, 3.4888779267799467e-08, 4.731150758570363e-06, 4.0856706753447465e-10, 0.00477660049140928]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+8,42,-0.15132618,0.02146309,4,-0.2368787008815704,0.01455678551054199,"[0.369581171289081, 7.035415016109615e-11, 2.1862505664175278e-05, 1.1759115551055333e-12, 0.6303969661337248]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+8,43,-0.18518934,0.0027779788,4,-0.2368787008815704,0.01455678551054199,"[0.1776548826191592, 1.0835954190903885e-11, 5.749165627126281e-06, 1.0805929694972479e-12, 0.8223393682032971]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+8,44,0.5118622,-0.024860546,1,0.4104136906198055,-0.07932372239453842,"[1.8099386436474922e-05, 0.9997819386512594, 1.4894394787640302e-19, 0.0001999619623042648, 1.3710498425704285e-51]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+8,45,-0.0018669573,0.3644946,2,-0.09324358495511963,0.33259159061585636,"[0.00043651057212665625, 1.9999686394821466e-17, 0.9995622510098183, 3.959221811678391e-39, 1.2384180548812117e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+8,46,-0.24925767,0.015651966,4,-0.2368787008815704,0.01455678551054199,"[0.027456393486869603, 1.9272159430525985e-14, 2.1534921403418083e-05, 4.550795354290074e-16, 0.9725220715917073]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+8,47,0.2804453,-0.1894261,1,0.4104136906198055,-0.07932372239453842,"[0.0006407956648396355, 0.963724459580312, 4.3282896380152635e-23, 0.03563474475484825, 1.5347016920204018e-32]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+8,48,0.37225774,-0.11562894,1,0.4104136906198055,-0.07932372239453842,"[0.0001784116556939665, 0.9943807772712923, 4.561404507017659e-21, 0.005440811073013802, 6.152578697507758e-39]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+8,49,0.1460578,0.21914145,0,-0.02195575511983637,-0.031135983750233142,"[0.9767536646626217, 2.6746579178205676e-07, 0.023246067250988, 2.372208910671829e-17, 6.205983946859759e-10]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+8,50,0.07159563,-0.024327766,0,-0.02195575511983637,-0.031135983750233142,"[0.9996810773434978, 0.00025993941888263023, 1.114462658302671e-09, 5.89805648644852e-05, 1.5582923313186345e-09]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+8,51,-0.078428976,-0.18954016,0,-0.02195575511983637,-0.031135983750233142,"[0.8445557405262726, 6.238167360083396e-05, 2.0090702413020237e-15, 0.15538056092374106, 1.3168763836669127e-06]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+8,52,-0.23586994,0.37846398,2,-0.09324358495511963,0.33259159061585636,"[2.475896136299225e-07, 1.9721850588351992e-27, 0.999999091761185, 8.623558712895321e-55, 6.606492015057175e-07]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+8,53,-0.15925287,-0.015642455,0,-0.02195575511983637,-0.031135983750233142,"[0.5221363542038416, 3.352595401932235e-10, 1.3838540767937148e-06, 1.7631110156149976e-10, 0.477862261430511]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+8,54,0.38273144,-0.19184409,1,0.4104136906198055,-0.07932372239453842,"[1.0837550945288204e-05, 0.9992324968355332, 3.519029281807344e-26, 0.0007566656135213946, 3.097594909323639e-44]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+8,55,-0.029614072,-0.05991212,0,-0.02195575511983637,-0.031135983750233142,"[0.9999464277726597, 5.838217002092939e-06, 6.965866284992728e-10, 3.0306474396585567e-05, 1.7426839355087373e-05]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+8,56,-0.041920777,-0.1336057,0,-0.02195575511983637,-0.031135983750233142,"[0.9882390115812338, 5.7834071706179015e-05, 4.4392262110790604e-13, 0.011701812713284201, 1.3416333317329218e-06]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+8,57,-0.05421332,-0.22073112,3,-0.08644916747432467,-0.2978507761281914,"[0.3623310450887381, 0.0003005528333259033, 9.679439490492498e-18, 0.637368393870406, 8.207529975882168e-09]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+8,58,-0.19589648,0.09422963,4,-0.2368787008815704,0.01455678551054199,"[0.02863210716901451, 1.2199965133882648e-14, 0.0027719135000416973, 4.2908040402736704e-20, 0.9685959793309317]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+8,59,0.09615892,0.18102637,0,-0.02195575511983637,-0.031135983750233142,"[0.9916435819995896, 1.1731036141426659e-07, 0.00835617911874844, 4.663679089039025e-16, 1.2157130004533413e-07]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+8,60,-0.013711061,-0.07216554,0,-0.02195575511983637,-0.031135983750233142,"[0.999789667198701, 2.2315762283789685e-05, 1.2605260018912846e-10, 0.0001859243454180384, 2.09256754438326e-06]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+8,61,0.49365819,-0.019841706,1,0.4104136906198055,-0.07932372239453842,"[4.18507107204917e-05, 0.9996693362390563, 8.721014317696567e-19, 0.0002888130502231971, 5.795768605383356e-49]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+8,62,-0.096782275,0.2680031,2,-0.09324358495511963,0.33259159061585636,"[0.0024770440563645314, 6.581247753314608e-17, 0.9938955880154585, 1.365482563604497e-32, 0.0036273679281767]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+8,63,-0.07022652,-0.30347943,3,-0.08644916747432467,-0.2978507761281914,"[0.04248463785152798, 0.0002892008189331467, 4.732742589543452e-23, 0.957226161316717, 1.2821883312794659e-11]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+8,64,-0.08510746,-0.26066056,3,-0.08644916747432467,-0.2978507761281914,"[0.1588855970763675, 0.00011336015272958396, 7.5875715743377e-20, 0.8410010382301568, 4.540745988388228e-09]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+8,65,-0.00251228,0.3769304,2,-0.09324358495511963,0.33259159061585636,"[0.00026332923884279745, 5.907024276253247e-18, 0.9997359986690131, 1.0829439423499605e-40, 6.720921440450576e-07]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+8,66,0.42614552,0.08994585,1,0.4104136906198055,-0.07932372239453842,"[0.030043471993595926, 0.9699239074235195, 5.157198171773173e-11, 3.2620531312411855e-05, 1.608350093730815e-35]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+8,67,0.25132486,-0.20319358,1,0.4104136906198055,-0.07932372239453842,"[0.0013262705063705697, 0.9249482352548548, 3.843997087711849e-23, 0.07372549423877463, 3.218680202747561e-30]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+8,68,-0.18157998,0.03947093,4,-0.2368787008815704,0.01455678551054199,"[0.0984830372300952, 1.3640074445082836e-12, 7.108827701989923e-05, 3.255349236205392e-15, 0.9014458744915175]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+8,69,-0.12251995,-0.049827244,0,-0.02195575511983637,-0.031135983750233142,"[0.9631447961431152, 2.2655494561354213e-08, 3.1126561238131005e-08, 1.5078388802045243e-07, 0.03685499929094084]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+8,70,-0.18423451,0.25213403,2,-0.09324358495511963,0.33259159061585636,"[0.0004146426735080423, 1.1287186645372324e-19, 0.9879401379741015, 2.479037342869106e-35, 0.011645219352390317]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+8,71,-0.04843812,0.4040603,2,-0.09324358495511963,0.33259159061585636,"[2.641304142254513e-05, 8.207720938673537e-21, 0.9999729341844068, 9.505751682917922e-47, 6.527741707173543e-07]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+8,72,0.25011468,-0.18353273,1,0.4104136906198055,-0.07932372239453842,"[0.002539658948026841, 0.8914190639297652, 7.938887415479339e-22, 0.10604127712220776, 4.2935887744702955e-29]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+8,73,0.24778247,-0.18444899,1,0.4104136906198055,-0.07932372239453842,"[0.002699979760863304, 0.884830877011464, 8.0807477247174085e-22, 0.11246914322767275, 6.63530156654437e-29]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+8,74,-0.17648138,-0.41862112,3,-0.08644916747432467,-0.2978507761281914,"[0.029829969018756248, 3.9822530022490143e-05, 8.32345605523336e-29, 0.9701302084419163, 9.304896051627772e-12]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+8,75,-0.16704087,-0.3598848,3,-0.08644916747432467,-0.2978507761281914,"[0.03845323516667408, 1.2065569535981314e-05, 4.0351127829830564e-25, 0.9615346985920907, 6.716991116553589e-10]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+8,76,0.61073065,0.018717432,1,0.4104136906198055,-0.07932372239453842,"[2.368760185924082e-06, 0.9999753801181451, 1.0811893040259859e-19, 2.2251121668798396e-05, 6.432382367391445e-63]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+8,77,-0.07488669,0.3827278,2,-0.09324358495511963,0.33259159061585636,"[2.6340007125941674e-05, 5.292631207003739e-21, 0.999970176508858, 1.4497162697000023e-45, 3.48348401599839e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+8,78,0.022653038,0.24370801,2,-0.09324358495511963,0.33259159061585636,"[0.23702037159179848, 2.408987549697249e-11, 0.7628559871812965, 5.883445991806192e-24, 0.00012364120281511148]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+8,79,0.24368975,0.18879418,0,-0.02195575511983637,-0.031135983750233142,"[0.9995990730033192, 0.00015020146637186537, 0.0002507255286114583, 1.6971923859736778e-12, 1.9014389406943755e-16]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+8,80,-0.16938657,-0.05973538,0,-0.02195575511983637,-0.031135983750233142,"[0.7328113748811499, 1.8274542499068035e-09, 3.86936325954073e-08, 3.641884597744028e-08, 0.26718854817891724]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+8,81,-0.25151917,-0.28693447,0,-0.02195575511983637,-0.031135983750233142,"[0.6272661824581244, 1.4326822299888565e-07, 2.148945128514825e-18, 0.37254489116195794, 0.00018878311169459385]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+8,82,0.04577409,-0.24324691,3,-0.08644916747432467,-0.2978507761281914,"[0.04663857452139254, 0.012176287055043387, 3.657840835361348e-21, 0.941185138423562, 1.985523920949102e-15]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+8,83,-0.22563006,-0.049784996,4,-0.2368787008815704,0.01455678551054199,"[0.18262492107470304, 1.0831903719808051e-11, 1.536304887998073e-07, 1.3991469576648454e-10, 0.8173749251440617]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+8,84,-0.20074943,0.040258985,4,-0.2368787008815704,0.01455678551054199,"[0.05358821018451969, 2.263190500167002e-13, 7.558987843824078e-05, 4.508683300409223e-16, 0.9463361999368154]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+8,85,-0.1496939,0.30529067,2,-0.09324358495511963,0.33259159061585636,"[7.737728153622927e-05, 1.0503987562218266e-20, 0.9994011922186204, 4.970028933330221e-40, 0.0005214304998432767]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+8,86,0.2630342,0.051892787,0,-0.02195575511983637,-0.031135983750233142,"[0.8919478459460398, 0.10798190617142543, 4.524124074713591e-09, 7.024335841082786e-05, 1.6773126005942373e-20]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+8,87,0.61719507,-0.024593957,1,0.4104136906198055,-0.07932372239453842,"[4.687584903320655e-07, 0.9999825525866455, 3.1813510056352966e-22, 1.6978654864399804e-05, 3.923740275551975e-66]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+8,88,-0.14552048,-0.15470643,0,-0.02195575511983637,-0.031135983750233142,"[0.9963817203884893, 5.055278620306422e-07, 1.0687108938386563e-12, 0.0018927122596040832, 0.001725061822975901]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+8,89,0.004352061,-0.07103703,0,-0.02195575511983637,-0.031135983750233142,"[0.9996087799753215, 5.475587219054737e-05, 8.232102453729227e-11, 0.0003361185046840015, 3.455654832650005e-07]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+8,90,-0.31772932,0.41427824,2,-0.09324358495511963,0.33259159061585636,"[5.574339842489559e-09, 1.9044936063886839e-32, 0.9999999938150346, 3.342157127521885e-65, 6.106255574276725e-10]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+8,91,-0.118134014,0.26676714,2,-0.09324358495511963,0.33259159061585636,"[0.0013980856454411557, 1.0760774878012573e-17, 0.9934889388288133, 1.4368447918859083e-33, 0.005112975525745551]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+8,92,-0.19037005,0.30377576,2,-0.09324358495511963,0.33259159061585636,"[2.4189813983959278e-05, 2.6752241652410003e-22, 0.9996097038206568, 3.787687722900232e-42, 0.00036610636535914094]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+8,93,-0.18803668,0.09546091,4,-0.2368787008815704,0.01455678551054199,"[0.03518169068092903, 2.2794572764888268e-14, 0.0029296089689564717, 7.524643088162745e-20, 0.9618887003500916]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+8,94,0.32727078,-0.11709024,1,0.4104136906198055,-0.07932372239453842,"[0.0010189318866855729, 0.9795822129632069, 7.297047130550202e-20, 0.01939885515010758, 6.51160702524947e-34]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+8,95,0.3095995,0.5030761,2,-0.09324358495511963,0.33259159061585636,"[0.0239047539777842, 2.009008405967757e-11, 0.9760952460021258, 1.204789420886478e-38, 8.156468197401862e-21]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+8,96,-0.26364937,-0.38828564,3,-0.08644916747432467,-0.2978507761281914,"[0.05671624116681197, 2.553680309768979e-07, 2.486968652423308e-25, 0.9432834694643724, 3.400078463498309e-08]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+8,97,-0.25224024,-0.31188005,3,-0.08644916747432467,-0.2978507761281914,"[0.34480560689301765, 1.9139565767499876e-07, 4.4364356060158135e-20, 0.6551711632420492, 2.3038469275509526e-05]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+8,98,-0.30068702,-0.14781809,0,-0.02195575511983637,-0.031135983750233142,"[0.5274644327511218, 2.5180994840771254e-11, 1.864254245028009e-10, 9.936006910277234e-07, 0.47253457343658073]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+8,99,-0.09486352,0.005280091,0,-0.02195575511983637,-0.031135983750233142,"[0.9599613337134562, 9.683462163744955e-09, 2.357612578523967e-06, 7.141068443215288e-10, 0.04003629827639635]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+9,0,0.08799766,-0.06060414,0,0.01548792774659148,0.012711213017882826,"[0.7685246028819412, 0.002773843086858216, 2.5560447891208143e-11, 0.22870155033510375, 3.67053635356193e-09]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+9,1,-0.08406016,0.2851326,2,-0.09296698319274968,0.3323424730002509,"[0.0016893419783019167, 1.609888543490158e-17, 0.9972080183765663, 2.581935105197801e-09, 0.0011026370631965602]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+9,2,-0.16364236,-0.11411294,0,0.01548792774659148,0.012711213017882826,"[0.6830722955222855, 6.977634172406509e-08, 2.7701609033065945e-10, 0.20262492990740097, 0.11430270451695554]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+9,3,0.07371062,-0.27021888,3,-0.10484219422466146,-0.2563392055715372,"[0.009197716866494676, 0.1086627720102639, 6.38953170623949e-23, 0.8821395111232302, 1.126068156911592e-14]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+9,4,-0.1284643,0.3103237,2,-0.09296698319274968,0.3323424730002509,"[0.00014584853605000358, 1.8835350098299333e-20, 0.9994409210108703, 6.501770785671997e-11, 0.00041323038806188444]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+9,5,-0.23808402,0.26056772,2,-0.09296698319274968,0.3323424730002509,"[9.777229669174338e-05, 1.3744581698064675e-22, 0.9969023292939749, 9.680653001714488e-11, 0.0029998983125264587]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+9,6,-0.10493148,-0.30384988,3,-0.10484219422466146,-0.2563392055715372,"[0.01133023503239253, 0.0001745763084536197, 4.628974294180653e-22, 0.9884951533200277, 3.5339126218260786e-08]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+9,7,-0.295713,-0.42771262,3,-0.10484219422466146,-0.2563392055715372,"[0.0017877029972397822, 5.412079860668639e-07, 5.258374163908633e-27, 0.9982116834337783, 7.236099590144362e-08]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+9,8,-0.3188932,-0.023905918,4,-0.23335679127599973,0.009123651433526166,"[0.03868624935338361, 3.0912485218132265e-15, 8.526655776063863e-06, 0.0002124601334313763, 0.9610927638574059]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+9,9,0.52375084,0.03593809,1,0.4064221645962014,-0.08262749250786275,"[0.0002884704989629287, 0.9996910739371503, 2.077832934029354e-16, 2.0455563886431316e-05, 5.620187697586049e-42]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+9,10,-0.24769914,0.06194072,4,-0.23335679127599973,0.009123651433526166,"[0.022149893606925968, 1.4418310298516413e-15, 0.0006693155291679343, 1.528700892275514e-05, 0.9771655038549819]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+9,11,0.45866024,0.07679337,1,0.4064221645962014,-0.08262749250786275,"[0.01132128269740851, 0.9884670036962786, 1.735084219076961e-12, 0.0002117136045778282, 1.468631755478986e-33]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+9,12,-0.21952832,-0.2596673,3,-0.10484219422466146,-0.2563392055715372,"[0.07641126087094735, 4.4670405178203447e-07, 2.7582307764630956e-17, 0.9228388135671787, 0.0007494788578223317]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+9,13,0.5387558,-0.021885695,1,0.4064221645962014,-0.08262749250786275,"[2.7224819411343024e-05, 0.9999621854176024, 6.004318722140262e-20, 1.0589762986299932e-05, 7.836809332040458e-46]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+9,14,-0.31746334,-0.03755091,4,-0.23335679127599973,0.009123651433526166,"[0.045698103189948686, 8.537212682778814e-15, 2.9100758696923308e-06, 0.00038737367491945094, 0.9539116130592536]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+9,15,0.21572201,0.15297481,0,0.01548792774659148,0.012711213017882826,"[0.9990335338002494, 0.00013551523752516304, 4.833322519540387e-05, 0.0007826177363536584, 6.764132754729123e-13]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+9,16,-0.17784788,-0.16018736,3,-0.10484219422466146,-0.2563392055715372,"[0.47887705389744917, 2.156094287053135e-07, 2.7306106845871814e-12, 0.4859719245112256, 0.03515080597916606]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+9,17,0.12485067,-0.17534988,3,-0.10484219422466146,-0.2563392055715372,"[0.07894369424098548, 0.18330086416936875, 6.1889084327060795e-18, 0.7377554415896127, 3.315885218655842e-14]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+9,18,-0.045080878,-0.32160506,3,-0.10484219422466146,-0.2563392055715372,"[0.004989467702409546, 0.0026973299212832377, 3.046839836069501e-24, 0.9923132023192733, 5.7033939820115555e-11]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+9,19,-0.29219365,-0.1354431,4,-0.23335679127599973,0.009123651433526166,"[0.24303858171970166, 4.309560953981419e-11, 6.651059342275877e-10, 0.04863632729983974, 0.7083250902722571]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+9,20,0.22983314,0.005944166,0,0.01548792774659148,0.012711213017882826,"[0.8221829318741268, 0.11274830040292994, 1.9285514437574114e-10, 0.06506876753008724, 8.311811225039589e-16]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+9,21,-0.2313607,0.15489271,4,-0.23335679127599973,0.009123651433526166,"[0.01463995707545808, 1.4898130036729965e-17, 0.21980023124236842, 5.606562789170566e-07, 0.7655592510258946]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+9,22,0.44196302,-0.22339565,1,0.4064221645962014,-0.08262749250786275,"[9.291799780856391e-07, 0.9999187575334147, 1.3847529797950174e-29, 8.031328660722363e-05, 1.1308082107978557e-43]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+9,23,0.31953293,-0.23248373,1,0.4064221645962014,-0.08262749250786275,"[3.149563952322923e-05, 0.9972507759388907, 7.553595371937781e-27, 0.0027177284215860347, 5.926949764634013e-32]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+9,24,0.0025802255,-0.08199731,0,0.01548792774659148,0.012711213017882826,"[0.7417773843094306, 0.00010835654318768025, 4.180205313837079e-11, 0.2581073500647215, 6.909040858375878e-06]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+9,25,0.023439856,-0.079839304,0,0.01548792774659148,0.012711213017882826,"[0.7304842845532125, 0.00027292200025122264, 2.6858216949585267e-11, 0.2692416587222866, 1.1346973914260903e-06]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+9,26,-0.06371302,0.3954228,2,-0.09296698319274968,0.3323424730002509,"[1.8561148976217024e-05, 1.3451902557322902e-21, 0.9999797449292077, 6.636184292417888e-13, 1.6939211523776476e-06]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+9,27,-0.2963673,0.015343715,4,-0.23335679127599973,0.009123651433526166,"[0.024735479208196562, 9.451235193277653e-16, 7.663835214380708e-05, 4.8856789134927964e-05, 0.9751390256505238]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+9,28,0.08612508,0.3898904,2,-0.09296698319274968,0.3323424730002509,"[0.0010273611752612492, 1.2689113968386434e-15, 0.9989726319015455, 1.293285303947312e-10, 6.793863271540375e-09]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+9,29,-0.20296153,0.2345368,2,-0.09296698319274968,0.3323424730002509,"[0.0010470394449411142, 7.34752924367323e-20, 0.9696647099958245, 3.4772971210377415e-09, 0.02928824708193734]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+9,30,-0.3021013,-0.23802479,3,-0.10484219422466146,-0.2563392055715372,"[0.2162610367825232, 4.337482165661715e-09, 1.415588578225009e-14, 0.7484022820486967, 0.03533667683128366]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+9,31,0.40233114,0.06031101,1,0.4064221645962014,-0.08262749250786275,"[0.04918241068807176, 0.9494858784239105, 9.210173835924328e-12, 0.0013317108788075513, 1.8008641025071596e-28]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+9,32,-0.31179968,-0.050893012,4,-0.23335679127599973,0.009123651433526166,"[0.05461523770950647, 3.052731466929266e-14, 8.859426464891591e-07, 0.0007332331132749953, 0.9446506432345416]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+9,33,0.11298243,0.035079706,0,0.01548792774659148,0.012711213017882826,"[0.9810130548065722, 0.00017190672117350643, 8.770556829133236e-08, 0.018814943326963745, 7.4397223638324186e-09]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+9,34,-0.23456638,0.06657637,4,-0.23335679127599973,0.009123651433526166,"[0.025276668184688073, 2.9402311027893836e-15, 0.0007425573646366754, 1.682688153822308e-05, 0.9739639475691341]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+9,35,0.11017645,-0.16371755,3,-0.10484219422466146,-0.2563392055715372,"[0.12347977846463416, 0.09500134671120236, 5.4743146026553624e-17, 0.7815188748236073, 5.561174926479965e-13]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+9,36,0.1429859,0.059452157,0,0.01548792774659148,0.012711213017882826,"[0.9893178915139306, 0.0002523327715712492, 2.8293438893869503e-07, 0.010429492278888055, 5.012212100149984e-10]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+9,37,-0.040502112,0.02318828,0,0.01548792774659148,0.012711213017882826,"[0.9834879418874743, 1.0497076304549382e-07, 2.8883749798559494e-06, 0.01105399323442284, 0.00545507153235991]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+9,38,-0.06471333,0.08954511,0,0.01548792774659148,0.012711213017882826,"[0.914187157701866, 9.166171923392541e-10, 0.0011154637693275575, 0.0010863586251687418, 0.08361101898702047]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+9,39,0.06407858,0.09707585,0,0.01548792774659148,0.012711213017882826,"[0.9978172759774212, 8.334530074175523e-07, 5.404422056447967e-05, 0.002122498507117056, 5.347841889610123e-06]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+9,40,-0.021407472,0.09407413,0,0.01548792774659148,0.012711213017882826,"[0.9923560590510705, 9.240691252888255e-09, 0.0004922195599987838, 0.001368754513820981, 0.005782957634418534]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+9,41,-0.056248758,0.025906589,0,0.01548792774659148,0.012711213017882826,"[0.9743578816229611, 3.824192889043193e-08, 5.7229521385568444e-06, 0.009068206637827134, 0.016568150545144378]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+9,42,-0.15132618,0.02146309,4,-0.23335679127599973,0.009123651433526166,"[0.3045237274934274, 6.503239536115048e-11, 2.058367592447516e-05, 0.0016472334152525894, 0.6938084553503631]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+9,43,-0.18518934,0.0027779788,4,-0.23335679127599973,0.009123651433526166,"[0.15250694298795273, 1.1554033894174765e-11, 5.86337924981432e-06, 0.0011347053479389938, 0.8463524882733044]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+9,44,0.5118622,-0.024860546,1,0.4064221645962014,-0.08262749250786275,"[5.72944485406043e-05, 0.9999191744879286, 2.0714838755093087e-19, 2.3531063530959433e-05, 5.916707596630658e-43]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+9,45,-0.0018669573,0.3644946,2,-0.09296698319274968,0.3323424730002509,"[0.0003235978064442102, 7.07049872029759e-18, 0.9996747945055582, 5.571490358486957e-11, 1.6076322827093902e-06]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+9,46,-0.24925767,0.015651966,4,-0.23335679127599973,0.009123651433526166,"[0.03415544020105615, 2.567542907340099e-14, 2.6431313593980873e-05, 0.00010073969963576501, 0.9657173887856884]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+9,47,0.2804453,-0.1894261,1,0.4064221645962014,-0.08262749250786275,"[0.0005392116452009407, 0.9862046075001397, 6.655686881430643e-23, 0.01325618085465923, 1.3799336122625533e-26]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+9,48,0.37225774,-0.11562894,1,0.4064221645962014,-0.08262749250786275,"[0.00028099470942580886, 0.9985518365453064, 6.6946994604553165e-21, 0.0011671687452677565, 4.3959466318335016e-32]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+9,49,0.1460578,0.21914145,0,0.01548792774659148,0.012711213017882826,"[0.9730811200188529, 1.8594072350015658e-07, 0.026856181654115976, 6.250222102225103e-05, 1.016528539987957e-08]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+9,50,0.07159563,-0.024327766,0,0.01548792774659148,0.012711213017882826,"[0.9145079305682091, 0.00030174708293558813, 1.485760043591548e-09, 0.08519023236884127, 8.849425408484767e-08]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+9,51,-0.078428976,-0.18954016,3,-0.10484219422466146,-0.2563392055715372,"[0.17836474201579594, 6.0178454932752025e-05, 1.8382024762295554e-15, 0.8215587086127881, 1.6370916481275708e-05]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+9,52,-0.23586994,0.37846398,2,-0.09296698319274968,0.3323424730002509,"[4.366542526476554e-07, 5.840744465157225e-28, 0.999997626400642, 6.6226596804207566e-15, 1.9369450987203477e-06]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+9,53,-0.15925287,-0.015642455,4,-0.23335679127599973,0.009123651433526166,"[0.3860227659965151, 3.521050988999992e-10, 1.3839056800696819e-06, 0.006190192297475789, 0.6077856574482239]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+9,54,0.38273144,-0.19184409,1,0.4064221645962014,-0.08262749250786275,"[1.5305908262518835e-05, 0.999465215531481, 5.877667981913026e-26, 0.0005194785602562446, 2.9172174269060786e-36]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+9,55,-0.029614072,-0.05991212,0,0.01548792774659148,0.012711213017882826,"[0.8698997828480982, 8.862023080120171e-06, 1.0909985399728928e-09, 0.12985725569052045, 0.00023409834730289404]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+9,56,-0.041920777,-0.1336057,3,-0.10484219422466146,-0.2563392055715372,"[0.45713546570533314, 7.52497729693087e-05, 5.729059999341653e-13, 0.5427639487976376, 2.533572348712371e-05]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+9,57,-0.05421332,-0.22073112,3,-0.10484219422466146,-0.2563392055715372,"[0.07294053439242855, 0.000330462694914512, 1.06293527704237e-17, 0.9267287169693335, 2.859433234157895e-07]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+9,58,-0.19589648,0.09422963,4,-0.23335679127599973,0.009123651433526166,"[0.04208829934020528, 1.2336672867803196e-14, 0.003230837672151803, 1.590007561727122e-05, 0.9546649629120133]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+9,59,0.09615892,0.18102637,0,0.01548792774659148,0.012711213017882826,"[0.9908223432973449, 8.22634221190353e-08, 0.00900683093588909, 0.00016966156352046425, 1.0819398234636837e-06]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+9,60,-0.013711061,-0.07216554,0,0.01548792774659148,0.012711213017882826,"[0.8086648536987777, 3.3035396456101195e-05, 1.9426782336848708e-10, 0.1912605521263199, 4.155858417836979e-05]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+9,61,0.49365819,-0.019841706,1,0.4064221645962014,-0.08262749250786275,"[0.00012121230200827764, 0.9998367627804079, 1.2035245013269162e-18, 4.2024917583983875e-05, 8.8971587469699e-41]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+9,62,-0.096782275,0.2680031,2,-0.09296698319274968,0.3323424730002509,"[0.0029796865481806338, 3.258667711912217e-17, 0.9934056716688264, 7.469785546672044e-09, 0.003614634313207323]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+9,63,-0.07022652,-0.30347943,3,-0.10484219422466146,-0.2563392055715372,"[0.009262384875145347, 0.000728222044736492, 1.2509756837184983e-22, 0.9900093908300519, 2.25006626785307e-09]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+9,64,-0.08510746,-0.26066056,3,-0.10484219422466146,-0.2563392055715372,"[0.031076166628072575, 0.00018491545872007087, 1.2082173857636838e-19, 0.9687387203433635, 1.975698436936138e-07]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+9,65,-0.00251228,0.3769304,2,-0.09296698319274968,0.3323424730002509,"[0.00018683495067363525, 1.9824669327651343e-18, 0.9998123004831259, 2.053690660348823e-11, 8.645456637440727e-07]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+9,66,0.42614552,0.08994585,1,0.4064221645962014,-0.08262749250786275,"[0.0589031480630305, 0.9404101333692985, 6.63485914033566e-11, 0.000686718501322522, 8.05349184635988e-30]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+9,67,0.25132486,-0.20319358,1,0.4064221645962014,-0.08262749250786275,"[0.0009373465107627406, 0.9685615430455027, 5.988339403011175e-23, 0.030501110443734592, 1.2484327386262962e-24]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+9,68,-0.18157998,0.03947093,4,-0.23335679127599973,0.009123651433526166,"[0.10349994713513173, 1.403732343042905e-12, 7.520128518014819e-05, 0.00025180624295051743, 0.8961730453353338]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+9,69,-0.12251995,-0.049827244,0,0.01548792774659148,0.012711213017882826,"[0.83562908247387, 3.490904954504557e-08, 4.54022064414448e-08, 0.04957050800740897, 0.11480032920746483]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+9,70,-0.18423451,0.25213403,2,-0.09296698319274968,0.3323424730002509,"[0.0006625744176451669, 5.903024048251976e-20, 0.987257687500607, 1.4102362087993643e-09, 0.012079736671511519]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+9,71,-0.04843812,0.4040603,2,-0.09296698319274968,0.3323424730002509,"[1.9559345606248474e-05, 2.370234345719851e-21, 0.9999796541487879, 5.751977635710462e-13, 7.865050304538588e-07]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+9,72,0.25011468,-0.18353273,1,0.4064221645962014,-0.08262749250786275,"[0.001986339450007859, 0.9601791593079791, 1.2333465695781533e-21, 0.03783450124201316, 1.019454765196433e-23]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+9,73,0.24778247,-0.18444899,1,0.4064221645962014,-0.08262749250786275,"[0.0020906917964134903, 0.9573968962787155, 1.2595612495437035e-21, 0.04051241192487104, 1.4738042127806755e-23]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+9,74,-0.17648138,-0.41862112,3,-0.10484219422466146,-0.2563392055715372,"[0.0009523885078602616, 7.337120616284388e-05, 1.5231554250025089e-28, 0.9989742397616544, 5.243225468592309e-10]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+9,75,-0.16704087,-0.3598848,3,-0.10484219422466146,-0.2563392055715372,"[0.003960496839500662, 3.5934664553100996e-05, 1.110542158318899e-24, 0.9960035353669464, 3.3128999813253056e-08]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+9,76,0.61073065,0.018717432,1,0.4064221645962014,-0.08262749250786275,"[1.1229490879401865e-05, 0.9999873438820298, 1.437605835378273e-19, 1.4266270907331564e-06, 1.2776188240932825e-52]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+9,77,-0.07488669,0.3827278,2,-0.09296698319274968,0.3323424730002509,"[2.3167297543619684e-05, 1.6562297515024887e-21, 0.9999727644921539, 1.2011647649367673e-12, 4.068209101355576e-06]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+9,78,0.022653038,0.24370801,2,-0.09296698319274968,0.3323424730002509,"[0.22661344508922032, 1.3370073598277804e-11, 0.7731215201263798, 3.0639339998348558e-06, 0.00026197083702982353]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+9,79,0.24368975,0.18879418,0,0.01548792774659148,0.012711213017882826,"[0.9993426645829405, 0.00010687749605620501, 0.0002713776127738266, 0.0002790803081945358, 3.502007996775589e-14]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+9,80,-0.16938657,-0.05973538,0,0.01548792774659148,0.012711213017882826,"[0.5124566785655427, 2.4737344798282173e-09, 4.655933924865729e-08, 0.02902482005656951, 0.458518452344814]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+9,81,-0.25151917,-0.28693447,3,-0.10484219422466146,-0.2563392055715372,"[0.047853200286717155, 1.8517963349749775e-07, 1.997952879361739e-18, 0.9517100515343637, 0.0004365629992856985]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+9,82,0.04577409,-0.24324691,3,-0.10484219422466146,-0.2563392055715372,"[0.023267475336812584, 0.027842173045685658, 9.977187837112536e-21, 0.948890351614692, 2.809682273175789e-12]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+9,83,-0.22563006,-0.049784996,4,-0.23335679127599973,0.009123651433526166,"[0.13417878352623522, 1.4274987714314879e-11, 1.7063878538960494e-07, 0.003623595571387566, 0.862197450249317]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+9,84,-0.20074943,0.040258985,4,-0.23335679127599973,0.009123651433526166,"[0.06272420655082772, 2.52920263425332e-13, 8.561523908483312e-05, 0.00012764728495017776, 0.9370625309248842]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+9,85,-0.1496939,0.30529067,2,-0.09296698319274968,0.3323424730002509,"[0.00010626423669405655, 4.461926735904911e-21, 0.9993217136962641, 4.746541893873173e-11, 0.0005720220195765459]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+9,86,0.2630342,0.051892787,0,0.01548792774659148,0.012711213017882826,"[0.8998178996753151, 0.07994645114818133, 4.370798771945174e-09, 0.020235644805705125, 3.8264492305218604e-17]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+9,87,0.61719507,-0.024593957,1,0.4064221645962014,-0.08262749250786275,"[2.5443171287059594e-06, 0.9999963292759222, 4.461321028877761e-22, 1.1264069491706954e-06, 4.401177107303377e-55]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+9,88,-0.14552048,-0.15470643,3,-0.10484219422466146,-0.2563392055715372,"[0.47282765471792254, 9.472100769272732e-07, 1.717784091626419e-12, 0.5178433933920491, 0.009328004678233647]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+9,89,0.004352061,-0.07103703,0,0.01548792774659148,0.012711213017882826,"[0.796825132406058, 7.716860858856465e-05, 1.230193357398869e-10, 0.20308841375668998, 9.285105644097045e-06]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+9,90,-0.31772932,0.41427824,2,-0.09296698319274968,0.3323424730002509,"[1.4231917487306644e-08, 4.5153555126944874e-33, 0.9999999778866162, 2.5949660676305893e-17, 7.881466169997019e-09]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+9,91,-0.118134014,0.26676714,2,-0.09296698319274968,0.3323424730002509,"[0.0017934939222485904, 5.340147106573851e-18, 0.9932256269912972, 3.968462564983282e-09, 0.00498087511799166]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+9,92,-0.19037005,0.30377576,2,-0.09296698319274968,0.3323424730002509,"[3.879810534263817e-05, 1.1356182663409188e-22, 0.9994887736229132, 1.2921068611335087e-11, 0.0004724282588229731]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+9,93,-0.18803668,0.09546091,4,-0.23335679127599973,0.009123651433526166,"[0.05022824841005874, 2.252526616404174e-14, 0.0033637039619276053, 1.944504062706991e-05, 0.946388602587364]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+9,94,0.32727078,-0.11709024,1,0.4064221645962014,-0.08262749250786275,"[0.0013121626426517473, 0.9936254729621505, 1.0503884935353127e-19, 0.005062364395197887, 6.942962306637753e-28]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+9,95,0.3095995,0.5030761,2,-0.09296698319274968,0.3323424730002509,"[0.004077060294180703, 5.710311174074557e-12, 0.9959229396713193, 2.8789777421039076e-11, 2.0881778884320087e-19]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+9,96,-0.26364937,-0.38828564,3,-0.10484219422466146,-0.2563392055715372,"[0.003802333694113409, 9.641153957019826e-07, 7.16846484064504e-25, 0.9961962211235351, 4.810669558404081e-07]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+9,97,-0.25224024,-0.31188005,3,-0.10484219422466146,-0.2563392055715372,"[0.02520560963654551, 3.1253231160445486e-07, 5.276320503106033e-20, 0.9747125436598921, 8.15341712506688e-05]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+9,98,-0.30068702,-0.14781809,4,-0.23335679127599973,0.009123651433526166,"[0.27926553553338845, 5.702140959414193e-11, 2.8536890176819635e-10, 0.07464608574038946, 0.6460883783838318]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+9,99,-0.09486352,0.005280091,0,0.01548792774659148,0.012711213017882826,"[0.887747972317791, 1.12262550092177e-08, 2.8434421932092224e-06, 0.01197811147407839, 0.10027106153968222]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189
+10,0,0.08799766,-0.06060414,0,0.002945234561861476,-0.006432575103510035,"[0.9906203191605683, 0.0019137517867472396, 4.8554228641138095e-12, 0.007465927243394967, 1.8044340159364232e-09]",00Sx577BT3,The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning,numerical simulations;fluid-dynamics;partial differential equations;operator learning,6.666666666666667,3.6666666666666665,Ruben Ohana;Michael McCabe;Lucas Thibaut Meyer;Rudy Morel;Fruzsina Julia Agocs;Miguel Beneitez;Marsha Berger;Blakesley Burkhart;Stuart B. Dalziel;Drummond Buschman Fielding;Daniel Fortunato;Jared A. Goldberg;Keiya Hirashima;Yan-Fei Jiang;Rich Kerswell;Suryanarayana Maddu;Jonah M. Miller;Payel Mukhopadhyay;Stefan S. Nixon;Jeff Shen;Romain Watteaux;Bruno Régaldo-Saint Blancard;François Rozet;Liam Holden Parker;Miles Cranmer;Shirley Ho,"Flatiron Institute;University of Colorado, Boulder;INRIA;Flatiron Institute;Flatiron Institute;University of Cambridge;Flatiron Institute;Rutgers University;University of Cambridge;Simons Foundation;Flatiron Institute;Flatiron Institute;Simons Foundation;University of Cambridge;Flatiron Institute/Simons Foundation;Los Alamos National Laboratory;University of California, Berkeley;University of Cambridge;Princeton University;CEA;Flatiron Institute;Flatiron Institute;Flatiron Institute;University of Cambridge;Carnegie Mellon University;The University of Tokyo",Postdoc;PhD student;PhD student;Postdoc;Postdoc;Postdoc;Full Professor;Assistant Professor;Director of the GK Batchelor Laboratory;Postdoc;Researcher;Postdoc;Researcher;Full Professor;Postdoc;Researcher;Postdoc;PhD student;PhD student;Researcher;Postdoc;Intern;Researcher;Assistant Professor;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/97882,,,,
+10,1,-0.08406016,0.2851326,2,-0.08640495082265576,0.33966324117856084,"[0.003379609524124062, 8.055138364808113e-18, 0.9729532118636368, 9.411172404116338e-28, 0.023667178612239142]",00uVk06eVK,On the Noise Robustness of In-Context Learning for Text Generation,In-Context Learning;Large Language Models;Noise Robustness,6.333333333333333,3.0,Hongfu Gao;Feipeng Zhang;Wenyu Jiang;Jun Shu;Feng Zheng;Hongxin Wei,Xi'an Jiaotong University;Xi'an Jiaotong University;Nanjing University;Xi'an Jiaotong University;Southern University of Science and Technology;Southern University of Science and Technology,MS student;Full Professor;PhD student;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96962,,,https://openreview.net/forum?id=00uVk06eVK,/media/PosterPDFs/NeurIPS%202024/96962.png?t=1731587881.4159098
+10,2,-0.16364236,-0.11411294,0,0.002945234561861476,-0.006432575103510035,"[0.7380195846148172, 2.2672709056215142e-08, 2.4259892114262918e-11, 0.0002888288906602349, 0.2616915637975536]",01I55gys19,Few-Class Arena: A Benchmark for Efficient Vision Model Selection and Dataset Difficulty,few-class;efficiency;neural network;convolutional neural network;transformer;dataset difficulty measurement;scaling law,5.0,3.3333333333333335,Bryan Bo Cao;Lawrence O'Gorman;Michael Coss;Shubham Jain,Nokia networks GmbH;State University of New York at Stony Brook,Intern;Assistant Professor,,,,,
+10,3,0.07371062,-0.27021888,3,-0.09650341739853788,-0.29590062320104177,"[0.025148528254357254, 0.05893965564606824, 1.481308419637847e-24, 0.9159118160911373, 8.437432465899098e-12]",01XV5Za56k,Testing Calibration in Nearly-Linear Time,Calibration;Property testing;Linear programming,6.25,3.25,Lunjia Hu;Arun Jambulapati;Kevin Tian;Chutong Yang,Stanford University;Stanford University;Stanford University;University of Texas at Austin,PhD student;PhD student;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96961,,,https://openreview.net/forum?id=01XV5Za56k,
+10,4,-0.1284643,0.3103237,2,-0.08640495082265576,0.33966324117856084,"[0.0003240152849242954, 7.67074717646605e-21, 0.9616721030544345, 2.9337322715841585e-32, 0.038003881660641184]",01lhHg8H9p,GLBench: A Comprehensive Benchmark for Graph with Large Language Models,Graph learning;Large Language Model;Zero-Shot,6.75,4.0,Yuhan Li;Peisong Wang;Xiao Zhu;Aochuan Chen;Haiyun Jiang;Deng Cai;Victor Wai Kin Chan;Jia Li,"Hong Kong University of Science and Technology;Tsinghua University;Beijing University of Posts and Telecommunications;Hong Kong University of Science and Technology;Tencent AI Lab;Tencent AI Lab;Shenzhen International Graduate School, Tsinghua University;Hong Kong University of Science and Technology",PhD student;MS student;Undergrad student;PhD student;Researcher;Research Scientist;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97881,,,,/media/PosterPDFs/NeurIPS%202024/97881.png?t=1731478194.2539835
+10,5,-0.23808402,0.26056772,2,-0.08640495082265576,0.33966324117856084,"[0.00018172597696888, 3.6919651529541436e-23, 0.8369187259750334, 5.372386139403128e-32, 0.1628995480479978]",01qa1ZJs65,Bridge the Modality and Capability Gaps in Vision-Language Model Selection,Vision-Language Model;Model Selection;Zero-Shot Image Classification,5.25,4.0,Chao Yi;Yuhang He;De-Chuan Zhan;Han-Jia Ye,Nanjing University;Nanjing University;Nanjing University;Nanjing University,MS student;Undergrad student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96960,,,https://openreview.net/forum?id=01qa1ZJs65,/media/PosterPDFs/NeurIPS%202024/96960.png?t=1731123927.9174762
+10,6,-0.10493148,-0.30384988,3,-0.09650341739853788,-0.29590062320104177,"[0.03072384435735793, 6.992585722479158e-05, 6.471662555864219e-24, 0.9691396233701582, 6.660641525894835e-05]",01s5ODIHKd,FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space,deep watermarking;latent frequency optimization,5.5,3.75,YiYang Guo;Ruizhe Li;Mude Hui;Hanzhong Allan Guo;Chen Zhang;Chuangjian Cai;Le Wan;Shangfei Wang,"University of Science and Technology of China;University of California, Santa Cruz;Renmin University of China;Tsinghua University;University of Science and Technology of China;University of Science and Technology of China",MS student;PhD student;MS student;PhD student;Full Professor;PhD student,https://neurips.cc/virtual/2024/poster/96959,,,https://openreview.net/forum?id=01s5ODIHKd,/media/PosterPDFs/NeurIPS%202024/96959.png?t=1730176108.8718698
+10,7,-0.295713,-0.42771262,3,-0.09650341739853788,-0.29590062320104177,"[0.007819702424958481, 1.396429686080802e-07, 1.5003884346155114e-29, 0.9832237356820082, 0.008956422250064773]",02CIZ8qeDc,PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection,3D anomaly detection;Zero-shot 3D anomaly detection,6.0,3.6666666666666665,Qihang Zhou;Jiangtao Yan;Shibo He;Wenchao Meng;Jiming Chen,Zhejiang University;Zhejiang University;Zhejiang University;Zhejiang University,PhD student;MS student;Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96958,,,https://openreview.net/forum?id=02CIZ8qeDc,/media/PosterPDFs/NeurIPS%202024/96958.png?t=1731476864.9817398
+10,8,-0.3188932,-0.023905918,4,-0.23524571040060446,0.0016373495389210657,"[0.05728905520187012, 1.0253301867863799e-15, 2.665540794353494e-06, 3.934662538167895e-12, 0.9427082792533998]",02HWT9c4Lp,Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion,Semantic Scene completion，Voxel Proposal，Knowledge Distillation,5.5,4.0,Lubo Wang;Di Lin;Kairui Yang;Ruonan Liu;Qing Guo;Wuyuan Xie;Miaohui Wang;Lingyu Liang;Yi Wang;Ping Li,"Tianjin University;Tianjin University;Tianjin University;Tianjin University; Agency for Science, Technology and Research (A*STAR));Department of Software Engineering, Shenzhen University;Shenzhen University;South China University of Technology;Shenzhen University;The Hong Kong Polytechnic University",MS student;Associate Professor;PhD student;Associate Professor;Researcher;Associate Professor;Associate Professor;Associate Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96957,,,https://openreview.net/forum?id=02HWT9c4Lp,/media/PosterPDFs/NeurIPS%202024/96957.png?t=1731159292.6143699
+10,9,0.52375084,0.03593809,1,0.41016320776012516,-0.08083458347146323,"[0.00023603875977998602, 0.9997351898700575, 1.5564990926196295e-16, 2.877137016217493e-05, 3.843756359766872e-46]",02r24A8doi,Achieving Constant Regret in Linear Markov Decision Processes,Reinforcement learning;Constant regret;Misspecified linear MDP,5.25,2.75,Weitong Zhang;Zhiyuan Fan;Jiafan He;Quanquan Gu,"Massachusetts Institute of Technology;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles",PhD student;PhD student;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96956,,,https://openreview.net/forum?id=02r24A8doi,
+10,10,-0.24769914,0.06194072,4,-0.23524571040060446,0.0016373495389210657,"[0.026179752361191588, 4.437435654509067e-16, 0.00026750804503792436, 8.681197740040178e-16, 0.9735527395937691]",04EC4ZnZJj,MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers,transformer architecture;large language model;computational complexity reduction,6.0,3.5,Ning Ding;Yehui Tang;Haochen Qin;Zhenli Zhou;Chao Xu;Lin Li;Kai Han;Liao Heng;Yunhe Wang,"Peking University;Huawei Technologies Ltd.;Huawei Technologies Ltd.;Peking University;Peking University;Huawei Noah's Ark Lab;, Tsinghua University;Huawei Noah's Ark Lab",PhD student;Researcher;Researcher;MS student;Full Professor;Principal Researcher;Principal Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96955,,,https://openreview.net/forum?id=04EC4ZnZJj,
+10,11,0.45866024,0.07679337,1,0.41016320776012516,-0.08083458347146323,"[0.008718801928830483, 0.9912462775009181, 1.3461597364984184e-12, 3.492056890535322e-05, 1.93406807224512e-37]",06JRFVK88O,Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games,Multi-agent Reinforcement Learning;Imitation Learning,6.666666666666667,3.0,The Viet Bui;Tien Anh Mai;Thanh Hong Nguyen,Singapore Management University;University of Oregon;Singapore Management University,Assistant Professor;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96954,,,https://openreview.net/forum?id=06JRFVK88O,/media/PosterPDFs/NeurIPS%202024/96954.png?t=1731744891.8886228
+10,12,-0.21952832,-0.2596673,3,-0.09650341739853788,-0.29590062320104177,"[0.32156011472851886, 3.147421091766791e-07, 1.4302917730179715e-18, 0.48124523372735417, 0.19719433680201764]",06Vt6f2js7,SyncTweedies: A General Generative Framework Based on Synchronized Diffusions,Diffusion Models;Synchronization;Texturing;3D Gaussian Splatting;Mesh;Panorama,6.666666666666667,3.6666666666666665,Jaihoon Kim;Juil Koo;Kyeongmin Yeo;Minhyuk Sung,KAIST;Adobe Systems;Korea Advanced Institute of Science & Technology;Korea Advanced Institute of Science & Technology,MS student;Intern;Undergrad student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96953,,,https://openreview.net/forum?id=06Vt6f2js7,
+10,13,0.5387558,-0.021885695,1,0.41016320776012516,-0.08083458347146323,"[2.8320608093922516e-05, 0.9999361823300753, 3.4844647011747756e-20, 3.549706183084618e-05, 2.0881117270888457e-49]",07N0qoaZ2L,Improved Analysis for Bandit Learning in Matching Markets,Bandits;Matching markets;Stable matching;Stable regret;Exploration and exploitation;$\alpha$-condition,5.5,3.0,Fang Kong;Zilong Wang;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;John Hopcroft Center, Shanghai Jiao Tong University",PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96952,,,https://openreview.net/forum?id=07N0qoaZ2L,/media/PosterPDFs/NeurIPS%202024/96952.png?t=1731746661.9360106
+10,14,-0.31746334,-0.03755091,4,-0.23524571040060446,0.0016373495389210657,"[0.06521455188664028, 2.746435243212397e-15, 7.888125228423685e-07, 2.5525291802979845e-11, 0.9347846592753088]",08A6X7FSTs,Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text,Text-to-3D Scene Generation;Latent Diffusion Models,5.5,4.5,Xinyang Li;Zhangyu Lai;Linning Xu;Yansong Qu;Liujuan Cao;Shengchuan Zhang;Bo Dai;Rongrong Ji,Xiamen University;Xiamen University;Xiamen University;Xiamen University;Xiamen University;Shanghai AI Laboratory;Xiamen University;The Chinese University of Hong Kong,PhD student;MS student;PhD student;Full Professor;Assistant Professor;Scientist;Full Professor;Ph.D. student,https://neurips.cc/virtual/2024/poster/96951,,,https://openreview.net/forum?id=08A6X7FSTs,/media/PosterPDFs/NeurIPS%202024/96951.png?t=1732593534.8700738
+10,15,0.21572201,0.15297481,0,0.002945234561861476,-0.006432575103510035,"[0.9998395229604615, 0.00012365047538804845, 3.682451185264157e-05, 2.0522885758478334e-09, 9.05764450385917e-15]",08GbdALmEs,Learning Versatile Skills with Curriculum Masking,reinforcement learning;unsupervised pretraining;masked prediction;curriculum learning,5.25,3.25,Yao Tang;Zhihui Xie;Zichuan Lin;Deheng Ye;Shuai Li,"Shanghai Jiaotong University;Shanghai Jiaotong University;Tencent AI Lab;Tencent;John Hopcroft Center, Shanghai Jiao Tong University",Undergrad student;MS student;Researcher;Principal Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96950,,,https://openreview.net/forum?id=08GbdALmEs,/media/PosterPDFs/NeurIPS%202024/96950.png?t=1733319308.3295946
+10,16,-0.17784788,-0.16018736,0,0.002945234561861476,-0.006432575103510035,"[0.7233464099398695, 8.448104878874504e-08, 1.9670674121207555e-13, 0.006573746362377747, 0.270079759216507]",08nbMTxazb,Chicks4FreeID: A Benchmark Dataset for Chicken Re-Identification,animal re-identification;chicken re-identification;chicken dataset;re-identification dataset;benchmark dataset;closed-set re-identification;computer vision;chicken instance segmentation;poultry;livestock,4.75,4.0,Daria Kern;Tobias Schiele;Ulrich Klauck;Winfred Ingabire,Glasgow Caledonian University;Hochschule Aalen;Glasgow Caledonian University,PhD student;Full Professor;Lecturer,,,,,
+10,17,0.12485067,-0.17534988,3,-0.09650341739853788,-0.29590062320104177,"[0.14320353920661946, 0.11755241757996125, 4.2470349187762135e-19, 0.7392440432130435, 3.759141634307551e-13]",08oUnmtj8Q,FSEO: A Few-Shot Evolutionary Optimization Framework for Expensive Multi-Objective Optimization and Constrained Optimization,Expensive optimization;few-shot optimization;multi-objective optimization;constrained optimization;surrogate-assisted evolutionary optimization,4.5,3.5,Xunzhao Yu,,,,,,,
+10,18,-0.045080878,-0.32160506,3,-0.09650341739853788,-0.29590062320104177,"[0.0169882359701234, 0.0012478284441107261, 3.690417508526412e-26, 0.9817635341690173, 4.014167485476035e-07]",09RKw0vXjR,Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations,feature selection;sparse coding;dictionary learning;compressed sensing;iterative hard thresholding;pruning method,5.75,3.0,Yasutoshi Ida;Sekitoshi Kanai;Atsutoshi Kumagai;Tomoharu Iwata;Yasuhiro Fujiwara,NTT;NTT;NTT;NTT;NTT,Researcher;Researcher;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96949,,,https://openreview.net/forum?id=09RKw0vXjR,/media/PosterPDFs/NeurIPS%202024/96949.png?t=1733375377.8112724
+10,19,-0.29219365,-0.1354431,4,-0.23524571040060446,0.0016373495389210657,"[0.15133959805525077, 5.898779192953099e-12, 2.996536951456568e-11, 5.337913970467081e-06, 0.8486550639949147]",09nyBqSdUz,RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance,Consistent image generation;Diverse image generation;Improve temporal-consistency;Feature injection from multiple images,5.5,4.0,Jiaojiao Fan;Haotian Xue;Qinsheng Zhang;Yongxin Chen,Georgia Institute of Technology;Georgia Institute of Technology;Georgia Institute of Technology;NVIDIA,PhD student;PhD student;Associate Professor;Research Intern,https://neurips.cc/virtual/2024/poster/96948,,,https://openreview.net/forum?id=09nyBqSdUz,/media/PosterPDFs/NeurIPS%202024/96948.png?t=1731392354.7708242
+10,20,0.22983314,0.005944166,0,0.002945234561861476,-0.006432575103510035,"[0.8999848054829434, 0.09785387323593393, 6.961162409556062e-11, 0.002161321211511329, 2.5511201949101202e-17]",0AumdfLzpK,A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations,Visual Reinforcement Learning;Generalization,6.0,4.0,Wonil Song;Hyesong Choi;Kwanghoon Sohn;Dongbo Min,Yonsei Univ.;Ewha Womans University;Yonsei University;Ewha Womans University,PhD student;PhD student;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96947,,,https://openreview.net/forum?id=0AumdfLzpK,/media/PosterPDFs/NeurIPS%202024/96947.png?t=1732451612.1247888
+10,21,-0.2313607,0.15489271,4,-0.23524571040060446,0.0016373495389210657,"[0.007625337051519987, 1.747772180071493e-18, 0.05218236267075607, 5.2049038031812055e-22, 0.940192300277724]",0AwMciNShl,"Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality",Human evaluation;text-to-video models,5.25,4.0,Tianle Zhang;Langtian Ma;Yuchen Yan;Yuchen Zhang;Yue Yang;Ziyao Guo;Wenqi Shao;Kai Wang;Yang You;Yu Qiao;Ping Luo;Kaipeng Zhang,University of Electronic Science and Technology of China;Southern University of Science and Technology;The University of Nottingham Ningbo China;University of Electronic Science and Technology of China;Xidian University;Shanghai AI Laboratory;National University of Singapore;National University of Singapore;Shanghai AI Laboratory;The University of Hong Kong;Shanghai Jiaotong University,Undergrad student;Undergrad student;Undergrad student;Undergrad student;MS student;Researcher;PhD student;Professor;Researcher;Associate Professor;PhD student,https://neurips.cc/virtual/2024/poster/96946,,,https://openreview.net/forum?id=0AwMciNShl,/media/PosterPDFs/NeurIPS%202024/96946.png?t=1729079669.652648
+10,22,0.44196302,-0.22339565,1,0.41016320776012516,-0.08083458347146323,"[3.4818479813586724e-06, 0.9999734053561192, 1.4319157327652867e-30, 2.311279589936081e-05, 1.41784850774565e-42]",0C3bLHwjsY,Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions,Online Matching;Competitive Analysis;Fairness Maximization,6.25,3.0,Will Ma;Pan Xu,Columbia University;New Jersey Institute of Technology,Assistant Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96945,,,https://openreview.net/forum?id=0C3bLHwjsY,/media/PosterPDFs/NeurIPS%202024/96945.png?t=1731641014.5806563
+10,23,0.31953293,-0.23248373,1,0.41016320776012516,-0.08083458347146323,"[0.00012096700844467333, 0.9977376128793082, 5.557965303328435e-28, 0.002141420112247305, 4.041750175148186e-30]",0DE1dLMW2b,Quantum algorithm for large-scale market equilibrium computation,market equilibrium computation;quantum algorithm,6.0,2.75,Po-Wei Huang;Patrick Rebentrost,Centre for Quantum Technologies;National University of Singapore,Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96944,,,https://openreview.net/forum?id=0DE1dLMW2b,/media/PosterPDFs/NeurIPS%202024/96944.png?t=1731426989.5298698
+10,24,0.0025802255,-0.08199731,0,0.002945234561861476,-0.006432575103510035,"[0.996067872366423, 6.405428006142452e-05, 6.298221852011474e-12, 0.0038594007473638984, 8.672599853453026e-06]",0EfUYVMrLv,Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment,non-stationary environments;continuous distribution shift;test-time adaptation;unlabeled data,6.666666666666667,4.0,Zhen-Yu Zhang;Zhiyu Xie;Huaxiu Yao;Masashi Sugiyama,"RIKEN;Stanford University;Department of Computer Science, University of North Carolina at Chapel Hill;The University of Tokyo",Postdoc;MS student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96943,,,https://openreview.net/forum?id=0EfUYVMrLv,/media/PosterPDFs/NeurIPS%202024/96943.png?t=1731687693.6296034
+10,25,0.023439856,-0.079839304,0,0.002945234561861476,-0.006432575103510035,"[0.9941473384483175, 0.00017018821220791605, 4.231733731961407e-12, 0.0056812140160920665, 1.2593191506881316e-06]",0G0VpMjKyV,Sketching for Distributed Deep Learning: A Sharper Analysis,sketching;distributed learning;federated learning;optimization,5.666666666666667,4.0,Mayank Shrivastava;Berivan Isik;Qiaobo Li;Sanmi Koyejo;Arindam Banerjee,"University of Illinois, Urbana Champaign;Stanford University;Department of Computer Science, University of Illinois at Urbana-Champaign;University of Illinois, Urbana Champaign;Google",MS student;PhD student;PhD student;Professor;Research Scientist,https://neurips.cc/virtual/2024/poster/96942,,,https://openreview.net/forum?id=0G0VpMjKyV,/media/PosterPDFs/NeurIPS%202024/96942.png?t=1733481266.9121125
+10,26,-0.06371302,0.3954228,2,-0.08640495082265576,0.33966324117856084,"[5.689814317199111e-05, 6.265820850549712e-22, 0.9982202118735763, 3.266466678447856e-38, 0.001722889983251769]",0G5OK5vmmg,WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts,Benchmark;Large Language Models;Classical Chinese Literature and Language Arts,6.25,2.75,Jiahuan Cao;Yang Liu;Yongxin Shi;Kai Ding;Lianwen Jin,South China University of Technology;South China University of Technology;South China University of Technology;INTSIG Information;South China University of Technology,MS student;MS student;PhD student;Researcher;Professor,https://neurips.cc/virtual/2024/poster/97880,,,,/media/PosterPDFs/NeurIPS%202024/97880.png?t=1730896668.2191207
+10,27,-0.2963673,0.015343715,4,-0.23524571040060446,0.0016373495389210657,"[0.034815436106515545, 3.1215110605128047e-16, 2.9098742997205277e-05, 4.8257971479696566e-14, 0.9651554651504387]",0G8AXwtmy2,T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition,harmful dataset;harmful content detection;Vision Language Model,6.5,3.75,Chen Yeh;You-Ming Chang;Wei-Chen Chiu;Ning Yu,National Yang Ming Chiao Tung University;National Yang Ming Chiao Tung University;National Chiao Tung University,MS student;MS student;Associate Professor,https://neurips.cc/virtual/2024/poster/97879,,,,/media/PosterPDFs/NeurIPS%202024/97879.png?t=1730218737.4487233
+10,28,0.08612508,0.3898904,2,-0.08640495082265576,0.33966324117856084,"[0.002226839730212853, 8.481231239325685e-16, 0.9977729524430033, 5.465848946997449e-31, 2.078267830696741e-07]",0Gl5WxY6es,Grounding Multimodal Large Language Models in Actions,Embodied AI;Multimodal Large Language Models;Reinforcement Learning;Imitation Learning,6.0,3.6666666666666665,Andrew Szot;Bogdan Mazoure;Harsh Agrawal;R Devon Hjelm;Zsolt Kira;Alexander T Toshev,Georgia Institute of Technology;Apple;Apple;Apple;Georgia Institute of Technology;Apple,PhD student;Research Scientist;Researcher;Researcher;Assistant Professor;research scientist,https://neurips.cc/virtual/2024/poster/96941,,,https://openreview.net/forum?id=0Gl5WxY6es,
+10,29,-0.20296153,0.2345368,2,-0.08640495082265576,0.33966324117856084,"[0.0013613838898546174, 1.8102304331203327e-20, 0.5988168811909199, 7.1347849912763645e-28, 0.39982173491922546]",0Gmi8TkUC7,GenAI Arena: An Open Evaluation Platform for Generative Models,Evaluation;Benchmark;Platform;Generative Model,6.0,3.5,Dongfu Jiang;Max Ku;Tianle Li;Yuansheng Ni;Shizhuo Sun;Rongqi Fan;Wenhu Chen,Allen Institute for Artificial Intelligence;University of Waterloo;University of Waterloo;University of Toronto;NVIDIA;University of Waterloo,Intern;MS student;MS student;Undergrad student;Intern;Assistant Professor,https://neurips.cc/virtual/2024/poster/97878,,,,/media/PosterPDFs/NeurIPS%202024/97878.png?t=1730329031.3167162
+10,30,-0.3021013,-0.23802479,4,-0.23524571040060446,0.0016373495389210657,"[0.2667686470328067, 8.690343409708065e-10, 3.401710734767163e-16, 0.020700615879482947, 0.7125307362186756]",0HRRNEAQFp,A General Protocol to Probe Large Vision Models for 3D Physical Understanding,3D physical scene understanding; Representation probing protocol; Benchmark and evaluation,6.333333333333333,4.0,Guanqi Zhan;Chuanxia Zheng;Weidi Xie;Andrew Zisserman,University of Oxford;University of Oxford;Shanghai Jiaotong University,PhD student;Postdoc;Associate Professor,https://neurips.cc/virtual/2024/poster/96940,,,https://openreview.net/forum?id=0HRRNEAQFp,/media/PosterPDFs/NeurIPS%202024/96940.png?t=1731705235.0575316
+10,31,0.40233114,0.06031101,1,0.41016320776012516,-0.08083458347146323,"[0.04271003459951489, 0.9571439385160354, 6.0425766221195555e-12, 0.00014602687840722, 1.1025045708725192e-31]",0JSKjdePGq,When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL,reinforcement learning;continuous-time,6.75,3.25,Lenart Treven;Bhavya Sukhija;Yarden As;Florian Dorfler;Andreas Krause,"Swiss Federal Institute of Technology;ETHZ - ETH Zurich;Department of Computer Science, ETHZ - ETH Zurich;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96939,,,https://openreview.net/forum?id=0JSKjdePGq,/media/PosterPDFs/NeurIPS%202024/96939.png?t=1730197260.75527
+10,32,-0.31179968,-0.050893012,4,-0.23524571040060446,0.0016373495389210657,"[0.07260554664929426, 9.284705474209525e-15, 1.9955808346161303e-07, 1.7955609875259436e-10, 0.927394253613057]",0KseSacluJ,CoFie: Learning Compact Neural Surface Representations with Coordinate Fields,Neural Surface Representation;Shape Auto-Decoding;Coordinate Field.,5.0,4.0,Hanwen Jiang;Haitao Yang;Georgios Pavlakos;Qixing Huang,University of Texas at Austin;The University of Texas at Austin;University of Texas at Austin;University of Texas at Austin,PhD student;PhD student;Assistant Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96938,,,https://openreview.net/forum?id=0KseSacluJ,
+10,33,0.11298243,0.035079706,0,0.002945234561861476,-0.006432575103510035,"[0.9998735629243286, 0.00011933327367509867, 3.0656211582184834e-08, 7.072519209505426e-06, 6.265750347096758e-10]",0KvYLaTBTE,Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference,Generative models;Reinforcement learning;Decision transformer,6.333333333333333,3.0,Deqian Kong;Dehong Xu;Minglu Zhao;Bo Pang;Jianwen Xie;Andrew Lizarraga;Yuhao Huang;Sirui Xie;Ying Nian Wu,"University of California, Los Angeles;Amazon;University of California, Los Angeles;University of California, Los Angeles;Xi'an Jiaotong University;University of California, Los Angeles;University of California, Los Angeles;UCLA",PhD student;Intern;PhD student;PhD student;PhD student;PhD student;PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96937,,,https://openreview.net/forum?id=0KvYLaTBTE,
+10,34,-0.23456638,0.06657637,4,-0.23524571040060446,0.0016373495389210657,"[0.029825084673470517, 9.370430639219685e-16, 0.000301474322793135, 1.0655354303042047e-15, 0.9698734410037343]",0LXotew9Du,KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization,Quantization;KV Cache;LLM Inference;Compression;Long Context Length,6.25,3.25,Coleman Richard Charles Hooper;Sehoon Kim;Hiva Mohammadzadeh;Michael W. Mahoney;Sophia Shao;Kurt Keutzer;Amir Gholami,"University of California, Berkeley;University of California, Berkeley;University of California, Berkeley;University of California, Berkeley",PhD student;PhD student;Assistant Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96936,,,https://openreview.net/forum?id=0LXotew9Du,
+10,35,0.11017645,-0.16371755,3,-0.09650341739853788,-0.29590062320104177,"[0.23970441392184325, 0.068291170596852, 4.680862999137449e-18, 0.6920044154763719, 4.932761087146026e-12]",0Lb8vZT1DB,Reliable Learning of Halfspaces under Gaussian Marginals,reliable learning;agnostic learning;halfspace;proper leaning;statistical query,7.25,2.25,Ilias Diakonikolas;Lisheng Ren;Nikos Zarifis,"University of Wisconsin - Madison;University of Wisconsin - Madison;University of Wisconsin, Madison",Full Professor;PhD student;PhD student,https://neurips.cc/virtual/2024/poster/96935,,,https://openreview.net/forum?id=0Lb8vZT1DB,
+10,36,0.1429859,0.059452157,0,0.002945234561861476,-0.006432575103510035,"[0.9998078463694535, 0.00018999292624385976, 1.2039070585108033e-07, 2.0402890722986472e-06, 2.4524616035559937e-11]",0LfgE6kvKZ,Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning,Federated Learning; Model Merging,5.0,3.6666666666666665,Minghui Chen;Meirui Jiang;Xin Zhang;Qi Dou;Zehua Wang;Xiaoxiao Li,"University of British Columbia;Meta Facebook;The Chinese University of Hong Kong;University of British Columbia;University of British Columbia;Department of Computer Science and Engineering, The Chinese University of Hong Kong",PhD student;Research Scientist;Assistant Professor;Researcher;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96934,,,https://openreview.net/forum?id=0LfgE6kvKZ,/media/PosterPDFs/NeurIPS%202024/96934.png?t=1731518093.5294044
+10,37,-0.040502112,0.02318828,0,0.002945234561861476,-0.006432575103510035,"[0.998104107700863, 5.0963695013655995e-08, 8.030240203411261e-07, 7.576457448548564e-08, 0.0018949625468468265]",0Lr9HQijA1,Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations,Imprecise Label Learning,5.75,3.0,Hao Chen;Ankit Shah;Jindong Wang;Ran Tao;Yidong Wang;Xiang Li;Xing Xie;Masashi Sugiyama;Rita Singh;Bhiksha Raj,"Carnegie Mellon University;Accenture;Microsoft Research;Peking University;Microsoft Research Asia;The University of Tokyo;School of Computer Science, Carnegie Mellon University;Mohamed bin Zayed University of Artificial Intelligence",PhD student;Principal Researcher;Researcher;PhD student;Senior Principal Researcher;Full Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96933,,,https://openreview.net/forum?id=0Lr9HQijA1,/media/PosterPDFs/NeurIPS%202024/96933.png?t=1731704880.9846606
+10,38,-0.06471333,0.08954511,0,0.002945234561861476,-0.006432575103510035,"[0.9646981988577736, 4.305012727385995e-10, 0.0004630913631959592, 1.0997682194075345e-11, 0.03483870933753138]",0MXzbAv8xy,GFT: Graph Foundation Model with Transferable Tree Vocabulary,Graph Foundation Model;Transferability;Computation Tree;Graph Neural Network,6.0,3.75,Zehong Wang;Zheyuan Zhang;Nitesh V Chawla;Chuxu Zhang;Yanfang Ye,University of Notre Dame;University of Notre Dame;University of Notre Dame;University of Notre Dame,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96932,,,https://openreview.net/forum?id=0MXzbAv8xy,
+10,39,0.06407858,0.09707585,0,0.002945234561861476,-0.006432575103510035,"[0.9999738431331113, 5.265680756932688e-07, 2.5018844766651058e-05, 1.7695276878085715e-09, 6.096845184382055e-07]",0NMzBwqaAJ,Not All Tokens Are What You Need for Pretraining,pre-training;next token prediction;data optimization;data selection,7.666666666666667,4.0,Zhenghao Lin;Zhibin Gou;Yeyun Gong;Xiao Liu;yelong shen;Ruochen Xu;Chen Lin;Yujiu Yang;Jian Jiao;Nan Duan;Weizhu Chen,Xiamen University;Microsoft;Microsoft Research Asia;Microsoft Research;Xiamen University;Tsinghua University;Microsoft;Microsoft Research Asia;Microsoft GenAI,MS student;Intern;Researcher;Researcher;Full Professor;Full Professor;Principal Researcher;Principal Researcher;Vice President,https://neurips.cc/virtual/2024/poster/96931,,,https://openreview.net/forum?id=0NMzBwqaAJ,/media/PosterPDFs/NeurIPS%202024/96931.png?t=1733724962.7310221
+10,40,-0.021407472,0.09407413,0,0.002945234561861476,-0.006432575103510035,"[0.9981845233017401, 4.6657083702292155e-09, 0.000205420649145825, 5.206488898222535e-11, 0.0016100513313405897]",0NQzQVu9tY,DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors,representation learning;offline reinforcement learning;behavioral cloning;visual distractor,7.0,3.0,Joseph Ortiz;Antoine Dedieu;Wolfgang Lehrach;J Swaroop Guntupalli;Carter Wendelken;Ahmad Humayun;Sivaramakrishnan Swaminathan;Guangyao Zhou;Miguel Lazaro-Gredilla;Kevin Patrick Murphy,Google DeepMind;Google DeepMind;Google Deepmind;Google DeepMind;Google;Google DeepMind;Google DeepMind;Google DeepMind;Google Deepmind;Google,Researcher;Researcher;Researcher;Researcher;Researcher;Researcher;Research Engineer;Research Scientist;Research Scientist;Principal Researcher,https://neurips.cc/virtual/2024/poster/97877,,,,/media/PosterPDFs/NeurIPS%202024/97877.png?t=1733266397.4133346
+10,41,-0.056248758,0.025906589,0,0.002945234561861476,-0.006432575103510035,"[0.9936905027172126, 1.7972694421555295e-08, 1.616096855362318e-06, 2.9585997531396635e-08, 0.006307833627239957]",0SMhqvgHST,EEVEE and GATE: Finding the right benchmarks and how to run them seamlessly,multi-modal;benchmarks;machine learning;model evaluation;benchmark frameworks,6.0,4.0,Antreas Antoniou;Eleni Triantafillou;Hugo Larochelle;Sebastien Montella;Fady Rezk;Kiyoon Kim;Linus Ericsson;Pavlos Vougiouklis;Justin Engelmann;Elliot J. Crowley;Srihari Humbarwadi;Yi Liu;Guang Yang;Jeff Z. Pan;Amos Storkey,"Google;Google;Huawei Technologies Ltd.;Samsung;Deargen;University of Edinburgh, University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh;Huawei Technologies Ltd.;University of Edinburgh, University of Edinburgh;University of Edinburgh",Researcher;Research Scientist;Researcher;Intern;Researcher;Postdoc;Researcher;Assistant Professor;Researcher;Full Professor;Full Professor,,,,,
+10,42,-0.15132618,0.02146309,4,-0.23524571040060446,0.0016373495389210657,"[0.4261203621467424, 3.2664214150721125e-11, 7.5974685203690385e-06, 3.3307253243822634e-10, 0.5738720400190004]",0SRJBtTNhX,IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors,Graph Machine Learning;Graph Data Augmentation;Graph Neural Networks,5.5,4.0,Shenghe Zheng;Hongzhi Wang;Xianglong Liu,Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology,MS student;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96930,,,https://openreview.net/forum?id=0SRJBtTNhX,/media/PosterPDFs/NeurIPS%202024/96930.png?t=1732617637.3891017
+10,43,-0.18518934,0.0027779788,4,-0.23524571040060446,0.0016373495389210657,"[0.21209168287445856, 5.258001376284965e-12, 1.907194149187238e-06, 3.181036985761676e-10, 0.7879064096080308]",0T8xRFrScB,Benchmarking Counterfactual Image Generation,benchmark;causal inference;counterfactual image generation,7.25,3.75,Thomas Melistas;Nikos Spyrou;Nefeli Gkouti;Pedro Sanchez;Athanasios Vlontzos;Yannis Panagakis;Giorgos Papanastasiou;Sotirios A. Tsaftaris,"University of Athens;University of Athens;University of Athens;University of Edinburgh, University of Edinburgh;Spotify;Pfizer;University of Edinburgh",PhD student;PhD student;PhD student;PhD student;Researcher;Principal Researcher;Professor in machine learning and computer vision,https://neurips.cc/virtual/2024/poster/97876,,,,/media/PosterPDFs/NeurIPS%202024/97876.png?t=1731712408.6398222
+10,44,0.5118622,-0.024860546,1,0.41016320776012516,-0.08083458347146323,"[6.117398274874476e-05, 0.9998693654518532, 1.09739474791544e-19, 6.946056539790616e-05, 3.064153654836914e-46]",0TUMAAb3of,Queueing Matching Bandits with Preference Feedback,Bandits;Queue;Preference Feedback,6.0,2.5,Jung-hun Kim;Min-hwan Oh,Seoul National University;Seoul National University,Assistant Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96929,,,https://openreview.net/forum?id=0TUMAAb3of,/media/PosterPDFs/NeurIPS%202024/96929.png?t=1733803835.532587
+10,45,-0.0018669573,0.3644946,2,-0.08640495082265576,0.33966324117856084,"[0.0007560146714548453, 3.9834298001883936e-18, 0.9991157853604098, 3.119605208432982e-32, 0.00012819996813517366]",0VeSCjRDBy,Adversarial Moment-Matching Distillation of Large Language Models,Knowledge distillation;Large language models;Imitation learning;Moment-matching;Adversarial training,6.25,3.0,Chen Jia,,,https://neurips.cc/virtual/2024/poster/96928,,,https://openreview.net/forum?id=0VeSCjRDBy,/media/PosterPDFs/NeurIPS%202024/96928.png?t=1731660620.7591212
+10,46,-0.24925767,0.015651966,4,-0.23524571040060446,0.0016373495389210657,"[0.0473740861557828, 9.659592309359682e-15, 9.596790125935373e-06, 6.996086576378088e-13, 0.952616317053382]",0WCFI2Qx85,ScaleKD: Strong Vision Transformers Could Be Excellent Teachers,knowledge distillation;model compression;training acceleration;vision transformer;convolutional neural network;multi-layer perception,6.25,4.5,Jiawei Fan;Chao Li;Xiaolong Liu;Anbang Yao,Intel Labs China;Intel;Intel,Research Intern;Researcher;Principal Researcher,https://neurips.cc/virtual/2024/poster/96927,,,https://openreview.net/forum?id=0WCFI2Qx85,/media/PosterPDFs/NeurIPS%202024/96927.png?t=1731695837.2500114
+10,47,0.2804453,-0.1894261,1,0.41016320776012516,-0.08083458347146323,"[0.0015226242441279964, 0.9737533793238838, 6.76609383496138e-24, 0.024723996431988315, 1.4712832587524996e-25]",0XKvW4ijxp,Learning-Augmented Algorithms with Explicit Predictors,online algorithms;learning-augmented algorithms;scheduling;caching,6.0,4.0,Marek Elias;Haim Kaplan;Yishay Mansour;Shay Moran,"Bocconi University;Technion, Technion;School of Computer Science, Tel Aviv University",Assistant Professor;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96926,,,https://openreview.net/forum?id=0XKvW4ijxp,/media/PosterPDFs/NeurIPS%202024/96926.png?t=1733319671.0065775
+10,48,0.37225774,-0.11562894,1,0.41016320776012516,-0.08083458347146323,"[0.0005058668662448561, 0.9966429357981816, 1.4346199726712469e-21, 0.002851197335573661, 6.890722228505734e-33]",0XeNkkENuI,The Road Less Scheduled,Stochastic Optimization;Optimization;Convex Optimization;Learning Rates;Learning Rate Schedules,7.5,3.5,Aaron Defazio;Xingyu Alice Yang;Ahmed Khaled;Konstantin Mishchenko;Harsh Mehta;Ashok Cutkosky,Meta;Meta;Princeton University;Samsung;Google Research;Boston University,Research Scientist;Research Engineer;PhD student;Researcher;Software Engineer;Assistant Professor,https://neurips.cc/virtual/2024/poster/96925,,,https://openreview.net/forum?id=0XeNkkENuI,/media/PosterPDFs/NeurIPS%202024/96925.png?t=1730837481.9895687
+10,49,0.1460578,0.21914145,0,0.002945234561861476,-0.006432575103510035,"[0.9796672308919089, 1.3169294804190016e-07, 0.020332636639278406, 1.825836754484863e-14, 7.758464405081024e-10]",0ZZMUjZJYF,Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study,LLMs;Learning by Teaching;Reasoning;Mathematical Reasoning;Code Synthesis;Weak-to-Strong Generalization;In-Context Learning;Prompting;Knowledge Distillation;Education-Inspired,6.5,4.0,Xuefei Ning;Zifu Wang;Shiyao Li;Zinan Lin;Peiran Yao;Tianyu Fu;Matthew B. Blaschko;Guohao Dai;Huazhong Yang;Yu Wang,Tsinghua University;KU Leuven;Tsinghua University;Microsoft;Infinigence;Shanghai Jiaotong University;Tsinghua University;Tsinghua University;KU Leuven,Research Assistant Professor;PhD student;PhD student;Senior Researcher;Researcher;Associate Professor;Full Professor;Full Professor;Associate Professor,https://neurips.cc/virtual/2024/poster/96924,,,https://openreview.net/forum?id=0ZZMUjZJYF,/media/PosterPDFs/NeurIPS%202024/96924.png?t=1732367562.4969194
+10,50,0.07159563,-0.024327766,0,0.002945234561861476,-0.006432575103510035,"[0.9994914760958287, 0.00018779541405794466, 3.32412748172935e-10, 0.0003207051322672924, 2.3025433139150548e-08]",0ZeONp33f0,Graph Neural Networks and Arithmetic Circuits,Machine Learning;Graph Neural Networks;Arithmetic Circuits;Computational Complexity,6.5,3.25,Timon Barlag;Vivian Holzapfel;Laura Strieker;Jonni Virtema;Heribert Vollmer,Universität Hannover;Leibniz Universität Hannover;Leibniz Universität Hannover;University of Sheffield;Leibniz Universität Hannover,PhD student;Undergrad student;PhD student;Lecturer;Full Professor,https://neurips.cc/virtual/2024/poster/96923,,,https://openreview.net/forum?id=0ZeONp33f0,/media/PosterPDFs/NeurIPS%202024/96923.png?t=1732106485.9402945
+10,51,-0.078428976,-0.18954016,0,0.002945234561861476,-0.006432575103510035,"[0.6521254537511829, 5.959296937771344e-05, 2.0447520607653289e-16, 0.3470032320270855, 0.0008117212523536354]",0aN7VWwp4g,Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting,Precipitation Nowcasting;Video Prediction;Fourier Analysis;Loss Function,6.0,4.0,Chiu-Wai Yan;Shi Quan Foo;Van-Hoan Trinh;Dit-Yan Yeung;Ka-Hing Wong;Wai-Kin Wong,Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology;Hong Kong University of Science and Technology,Chair Professor;Researcher;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96922,,,https://openreview.net/forum?id=0aN7VWwp4g,/media/PosterPDFs/NeurIPS%202024/96922.png?t=1731480203.951872
+10,52,-0.23586994,0.37846398,2,-0.08640495082265576,0.33966324117856084,"[1.495002862907821e-06, 1.4474026643704592e-28, 0.9855865034466087, 1.153777743083544e-44, 0.014412001550528231]",0bFXbEMz8e,FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions,generative models;material generation;chemistry;flow matching;large language models,6.0,4.333333333333333,Anuroop Sriram;Benjamin Kurt Miller;Ricky T. Q. Chen;Brandon M Wood,"Meta Facebook;University of Amsterdam;FAIR at Meta;FAIR Labs, Meta AI",Principal Researcher;PhD student;Researcher;Researcher,https://neurips.cc/virtual/2024/poster/96921,,,https://openreview.net/forum?id=0bFXbEMz8e,/media/PosterPDFs/NeurIPS%202024/96921.png?t=1730973273.143089
+10,53,-0.15925287,-0.015642455,4,-0.23524571040060446,0.0016373495389210657,"[0.47995152354574866, 1.526196599508774e-10, 3.4926509175166893e-07, 1.7800307590891692e-08, 0.5200481092362325]",0bINeW40u4,Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning,Medical Multi-modal Alignment;Eye-gaze;Radiology,6.25,3.5,Chong Ma;Hanqi Jiang;Wenting Chen;Yiwei Li;Zihao Wu;Xiaowei Yu;Zhengliang Liu;Lei Guo;Dajiang Zhu;Tuo Zhang;Dinggang Shen;Tianming Liu;Xiang Li,"Northwest Polytechnical University Xi'an;Beijing Jiaotong University;City University of Hong Kong;University of Georgia;University of Georgia;University of Texas at Arlington, University of Texas at Arlington;University of Georgia;University of Texas at Arlington;Northwestern Polytechnical University;ShanghaiTech University;University of Georgia;Massachusetts General Hospital, Harvard University",PhD student;Undergrad student;PhD student;PhD student;PhD student;PhD student;PhD student;Assistant Professor;Associate Professor;Full Professor;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96920,,,https://openreview.net/forum?id=0bINeW40u4,
+10,54,0.38273144,-0.19184409,1,0.41016320776012516,-0.08083458347146323,"[4.444503531397606e-05, 0.9993622407472913, 6.989572805303508e-27, 0.0005933142173944825, 1.2877197984487264e-35]",0cSQ1Sg7db,Generalization of Hamiltonian algorithms,Generalization;stochastic algorithms;concentration inequalities;PAC-Bayes,6.5,3.0,Andreas Maurer,,,https://neurips.cc/virtual/2024/poster/96919,,,https://openreview.net/forum?id=0cSQ1Sg7db,
+10,55,-0.029614072,-0.05991212,0,0.002945234561861476,-0.006432575103510035,"[0.9995179960587379, 4.464763449016788e-06, 1.7394695472791286e-10, 0.00027934762496068476, 0.00019819137890531062]",0cgDDa4OFr,Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation,source distribution estimation;maximum entropy;Sliced-Wasserstein distance;empirical Bayes;simulation-based inference,5.8,2.8,Julius Vetter;Guy Moss;Cornelius Schröder;Richard Gao;Jakob H. Macke,Eberhard-Karls-Universität Tübingen;Eberhard-Karls-Universität Tübingen;University Tübingen;Eberhard-Karls-Universität Tübingen,PhD student;PhD student;Postdoc;Postdoc,https://neurips.cc/virtual/2024/poster/96918,,,https://openreview.net/forum?id=0cgDDa4OFr,/media/PosterPDFs/NeurIPS%202024/96918.png?t=1733318904.6928847
+10,56,-0.041920777,-0.1336057,0,0.002945234561861476,-0.006432575103510035,"[0.9579322564633483, 5.5365917946339596e-05, 7.469836751484432e-14, 0.04184557636925195, 0.00016680124937858075]",0d50Il6enG,Non-parametric classification via expand-and-sparsify representation,non-parametric regression;non-parametric classification;expand-and-sparsify representation;universal consistency;minimax-optimal convergence rate,6.0,3.0,Kaushik Sinha,Wichita State University,Associate Professor,https://neurips.cc/virtual/2024/poster/96917,,,https://openreview.net/forum?id=0d50Il6enG,/media/PosterPDFs/NeurIPS%202024/96917.png?t=1731697679.5420048
+10,57,-0.05421332,-0.22073112,3,-0.09650341739853788,-0.29590062320104177,"[0.226518358793844, 0.00024825822454762887, 6.343505431788342e-19, 0.7732003358812847, 3.304710032368682e-05]",0dtA21q83C,DeNetDM: Debiasing by Network Depth Modulation,Trustworthy Machine Learning;Debiasing;Robustness,6.0,3.5,Silpa Vadakkeeveetil Sreelatha;Adarsh Kappiyath;Abhra Chaudhuri;Anjan Dutta,University of Surrey;University of Exeter;University of Surrey,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96916,,,https://openreview.net/forum?id=0dtA21q83C,/media/PosterPDFs/NeurIPS%202024/96916.png?t=1733689557.490417
+10,58,-0.19589648,0.09422963,4,-0.23524571040060446,0.0016373495389210657,"[0.04606728622061764, 3.971562611908332e-15, 0.0013611828813336838, 2.8425338148059155e-16, 0.9525715308980445]",0e5uOaJxo1,Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure,Graph Neural Network;Protein Sequence;Structure,5.0,3.3333333333333335,Bozhen Hu;Cheng Tan;Jun Xia;Yue Liu;Lirong Wu;Jiangbin Zheng;Yongjie Xu;Yufei Huang;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University, China;National University of Singapore;Westlake University;Westlake University;Westlake University;Zhejiang University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96915,,,https://openreview.net/forum?id=0e5uOaJxo1,/media/PosterPDFs/NeurIPS%202024/96915.png?t=1730385968.8958924
+10,59,0.09615892,0.18102637,0,0.002945234561861476,-0.006432575103510035,"[0.9941774748506137, 5.3192410394141115e-08, 0.005822348661750524, 2.4385279433759436e-13, 1.232949815967656e-07]",0feJEykDRx,Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models,spatial-temporal data mining;location-based service;check-in sequence;large language model,5.75,4.0,Letian Gong;Yan Lin;Xinyue Zhang;Yiwen Lu;Xuedi Han;Yichen Liu;Shengnan Guo;Youfang Lin;Huaiyu Wan,Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University;Beijing Jiaotong University,PhD student;PhD student;Undergrad student;Undergrad student;MS student;Associate Professor;Full Professor;Full Professor;Undergrad student,https://neurips.cc/virtual/2024/poster/96914,,,https://openreview.net/forum?id=0feJEykDRx,/media/PosterPDFs/NeurIPS%202024/96914.png?t=1731289337.5941467
+10,60,-0.013711061,-0.07216554,0,0.002945234561861476,-0.006432575103510035,"[0.9987541855306568, 1.7913223606588797e-05, 2.963301124149095e-11, 0.0011847908903247018, 4.3110325778895125e-05]",0jld45XGgJ,Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?,neural collapse;deep neural collapse;unconstrained features model;deep unconstrained features model;low-rank bias,6.5,3.75,Peter Súkeník;Christoph H. Lampert;Marco Mondelli,Institute of Science and Technology;Institute of Science and Technology Austria;Institute of Science and Technology Austria,PhD student;Assistant Professor;Professor,https://neurips.cc/virtual/2024/poster/96913,,,https://openreview.net/forum?id=0jld45XGgJ,
+10,61,0.49365819,-0.019841706,1,0.41016320776012516,-0.08083458347146323,"[0.0001276047990209027, 0.9997666784238356, 6.257833827082107e-19, 0.00010571677714345364, 5.693425784811017e-44]",0l9yGPTHAU,Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms,Robust Markov decision process;norm;sample complexity;strong duality,6.5,3.0,Pierre Clavier;Laixi Shi;Erwan Le Pennec;Eric Mazumdar;Adam Wierman;Matthieu Geist,"École Polytechnique;California Institute of Technology;Ecole polytechnique;Deparment of Computing + Mathematical Sciences, California Institute of Technology;California Institute of Technology;Google",PhD student;Postdoc;Full Professor;Assistant Professor;Professor;Researcher,https://neurips.cc/virtual/2024/poster/96912,,,https://openreview.net/forum?id=0l9yGPTHAU,
+10,62,-0.096782275,0.2680031,2,-0.08640495082265576,0.33966324117856084,"[0.005680242873324946, 1.587085801472409e-17, 0.939230159187446, 1.4012743333776437e-26, 0.05508959793922917]",0lBx844upd,ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models,network pruning;unstructured pruning;large language model;ADMM;pre-conditioned conjugate gradient;optimization,5.333333333333333,3.0,Xiang Meng;Kayhan Behdin;Haoyue Wang;Rahul Mazumder,Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology;Massachusetts Institute of Technology,PhD student;PhD student;PhD student;Associate Professor,https://neurips.cc/virtual/2024/poster/96911,,,https://openreview.net/forum?id=0lBx844upd,/media/PosterPDFs/NeurIPS%202024/96911.png?t=1731079283.0533488
+10,63,-0.07022652,-0.30347943,3,-0.09650341739853788,-0.29590062320104177,"[0.02517253277511513, 0.0002990297550664322, 1.7101060680194262e-24, 0.9745234055195079, 5.031950310464322e-06]",0lau89u4oE,Accelerating Non-Maximum Suppression: A Graph Theory Perspective,non-maximum suppression;object detection;graph theory,5.5,3.25,King-Siong Si;Lu Sun;Weizhan Zhang;Tieliang Gong;Jiahao Wang;Jiang Liu;Hao Sun,Xi'an Jiaotong University;Xi'an Jiaotong University;North China University of Technology;China Telecom Corporation Ltd. Data&AI Technology Company,MS student;MS student;MS student;Researcher,https://neurips.cc/virtual/2024/poster/96910,,,https://openreview.net/forum?id=0lau89u4oE,/media/PosterPDFs/NeurIPS%202024/96910.png?t=1733315333.5240822
+10,64,-0.08510746,-0.26066056,3,-0.09650341739853788,-0.29590062320104177,"[0.08641519119814231, 9.860143930913603e-05, 3.529734882160131e-21, 0.9134095569732511, 7.665038929727292e-05]",0m19blQT6y,BitsFusion: 1.99 bits Weight Quantization of Diffusion Model,Diffusion;Quantization;Stable Diffusion;Low bit,5.75,4.5,Yang Sui;Yanyu Li;Anil Kag;Yerlan Idelbayev;Junli Cao;Ju Hu;Dhritiman Sagar;Bo Yuan;Sergey Tulyakov;Jian Ren,Rutgers University;Northeastern University;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Snap Inc.;Rutgers University;Snap Inc.;Snap Inc.,PhD student;PhD student;Researcher;Researcher;Researcher;Researcher;Researcher;Assistant Professor;Director of Research;Research Scientist,https://neurips.cc/virtual/2024/poster/96909,,,https://openreview.net/forum?id=0m19blQT6y,/media/PosterPDFs/NeurIPS%202024/96909.png?t=1729915675.3170154
+10,65,-0.00251228,0.3769304,2,-0.08640495082265576,0.33966324117856084,"[0.00046344299187792837, 1.1049685683603977e-18, 0.9994215995613508, 1.5925657902741722e-33, 0.00011495744677117973]",0mRouJElbZ,ProgressGym: Alignment with a Millennium of Moral Progress,Progress Alignment;AI Alignment;Large Language Models,7.666666666666667,2.6666666666666665,Tianyi Qiu;Yang Zhang;Xuchuan Huang;Jasmine Xinze Li;Jiaming Ji;Yaodong Yang,"University of California, Berkeley;Peking University;Peking University;Peking University;Peking University;Peking University",Intern;Undergrad student;Undergrad student;Intern;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/97875,,,,/media/PosterPDFs/NeurIPS%202024/97875.png?t=1731742041.9348912
+10,66,0.42614552,0.08994585,1,0.41016320776012516,-0.08083458347146323,"[0.04641234705780684, 0.9535518992229356, 5.177929519753377e-11, 3.575366747829885e-05, 1.8511553110823507e-33]",0nSY8NiILP,Tight Bounds for Learning RUMs from Small Slates,discrete choice;random utility model;approximation theory,6.0,2.75,Flavio Chierichetti;Mirko Giacchini;Ravi Kumar;Alessandro Panconesi;Andrew Tomkins,Sapienza University of Rome;Sapienza University of Rome;Google;Sapienza University of Rome;Google,Full Professor;PhD student;Research Scientist;Full Professor;Researcher,https://neurips.cc/virtual/2024/poster/96908,,,https://openreview.net/forum?id=0nSY8NiILP,/media/PosterPDFs/NeurIPS%202024/96908.png?t=1732698791.0319488
+10,67,0.25132486,-0.20319358,1,0.41016320776012516,-0.08083458347146323,"[0.002862537244103252, 0.9429789946823895, 5.1395986268867395e-24, 0.05415846807350735, 3.1730778168024187e-23]",0nzKznCjFG,Private and Personalized Frequency Estimation in a Federated Setting,federated learning;personalization;privacy,5.75,3.0,Amrith Setlur;Vitaly Feldman;Kunal Talwar,Carnegie Mellon University;Apple AI Research;Apple,PhD student;Research Scientist;Research Scientist,https://neurips.cc/virtual/2024/poster/96907,,,https://openreview.net/forum?id=0nzKznCjFG,
+10,68,-0.18157998,0.03947093,4,-0.23524571040060446,0.0016373495389210657,"[0.15044340641629506, 6.677646029220518e-13, 3.228044262264455e-05, 3.104871533070724e-12, 0.8495243131373098]",0o7Rd5jngV,Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling,Transformer;expressive power;theoretical insights,6.333333333333333,3.0,Mingze Wang;Weinan E,Peking University;Peking University,PhD student;Full Professor,https://neurips.cc/virtual/2024/poster/96906,,,https://openreview.net/forum?id=0o7Rd5jngV,
+10,69,-0.12251995,-0.049827244,0,0.002945234561861476,-0.006432575103510035,"[0.8952795625444527, 1.3781643475219349e-08, 7.3742901788665456e-09, 4.582644605822861e-06, 0.104715833655008]",0o9E8AsFgW,DarkSAM: Fooling Segment Anything Model to Segment Nothing,Segment Anything Model;Adversarial Example,6.333333333333333,4.0,Ziqi Zhou;Yufei Song;Minghui Li;Shengshan Hu;Xianlong Wang;Leo Yu Zhang;Dezhong Yao;Hai Jin,Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology;Griffith University;Huazhong University of Science and Technology;Huazhong University of Science and Technology,PhD student;PhD student;Assistant Professor;Associate Professor;PhD student;Researcher;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96905,,,https://openreview.net/forum?id=0o9E8AsFgW,
+10,70,-0.18423451,0.25213403,2,-0.08640495082265576,0.33966324117856084,"[0.001044146198569188, 1.7679278574619694e-20, 0.7319731768601363, 8.549587558688517e-29, 0.26698267694129446]",0oUutV92YF,ProtGO: Function-Guided Protein Modeling for Unified Representation Learning,Teacher-student;Knowledge Distillation;Protein Function,5.666666666666667,3.6666666666666665,Bozhen Hu;Cheng Tan;Yongjie Xu;Zhangyang Gao;Jun Xia;Lirong Wu;Stan Z. Li,"Westlake University;Zhejiang University & Westlake University;Westlake University;Westlake University, China;Westlake University, China;Westlake University;Westlake University",PhD student;PhD student;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96904,,,https://openreview.net/forum?id=0oUutV92YF,/media/PosterPDFs/NeurIPS%202024/96904.png?t=1730386167.5899446
+10,71,-0.04843812,0.4040603,2,-0.08640495082265576,0.33966324117856084,"[6.141306731066013e-05, 1.1516632109882474e-21, 0.9990561666836959, 2.0552829926992433e-38, 0.0008824202489935722]",0og7nmvDbe,Confidence Regulation Neurons in Language Models,LLMs;Interpretability;Mechanistic Interpretability,7.0,3.75,Alessandro Stolfo;Ben Peng Wu;Wes Gurnee;Yonatan Belinkov;Xingyi Song;Mrinmaya Sachan;Neel Nanda,"ETHZ - ETH Zurich;University of Sheffield;Massachusetts Institute of Technology;Technion, Technion;University of Sheffield;Google DeepMind;Swiss Federal Institute of Technology",PhD student;PhD student;PhD student;Assistant Professor;Lecturer;Researcher;Assistant Professor,https://neurips.cc/virtual/2024/poster/96903,,,https://openreview.net/forum?id=0og7nmvDbe,
+10,72,0.25011468,-0.18353273,1,0.41016320776012516,-0.08083458347146323,"[0.005286374172183919, 0.9200921045833669, 1.2406113745001615e-22, 0.07462152124444915, 1.0403884320005518e-22]",0qb8KoPsej,Accelerating Matroid Optimization through Fast Imprecise Oracles,matroid optimization;weak-strong models;learning-augmented algorithms;algorithms with predictions;query minimization;robustness,5.5,2.75,Franziska Eberle;Felix Hommelsheim;Alexander Lindermayr;Zhenwei Liu;Nicole Megow;Jens Schlöter,Technische Universität Berlin;Universität Bremen;Universität Bremen;Universität Bremen;Universität Bremen,Postdoc;Postdoc;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96902,,,https://openreview.net/forum?id=0qb8KoPsej,
+10,73,0.24778247,-0.18444899,1,0.41016320776012516,-0.08083458347146323,"[0.005583052287605442, 0.914850275321905, 1.250555042916374e-22, 0.07956667239048947, 1.5924518798145713e-22]",0rl5vWOzRU,Score-Optimal Diffusion Schedules,Diffusion model;adaptive schedule;Annealed Langevin,6.0,3.0,Christopher Williams;Andrew Campbell;Arnaud Doucet;Saifuddin Syed,University of Oxford;University of Oxford;University of Oxford;University of Oxford,PhD student;PhD student;Full Professor;Postdoc,https://neurips.cc/virtual/2024/poster/96901,,,https://openreview.net/forum?id=0rl5vWOzRU,
+10,74,-0.17648138,-0.41862112,3,-0.09650341739853788,-0.29590062320104177,"[0.00824016242240215, 4.155312961315482e-05, 8.12575248475518e-31, 0.991329020658581, 0.00038926378940372814]",0sJBW05a2W,3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration,Point Cloud Registration;Focus and Matching,5.666666666666667,4.333333333333333,Liyuan Zhang;Le Hui;qi liu;Bo Li;Yuchao Dai,Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwest Polytechnical University Xi'an;Northwestern Polytechnical University Xi'an;Northwestern Polytechnical University,MS student;Associate Professor;Researcher;Associate Professor;Professor,https://neurips.cc/virtual/2024/poster/96900,,,https://openreview.net/forum?id=0sJBW05a2W,/media/PosterPDFs/NeurIPS%202024/96900.png?t=1731333373.8074756
+10,75,-0.16704087,-0.3598848,3,-0.09650341739853788,-0.29590062320104177,"[0.013811427569392038, 1.252735400752359e-05, 7.69701529133544e-27, 0.9855850996469695, 0.000590945429631009]",0sycTGl4In,4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization,Dynamic Novel View Synthesis;4D Gaussian splatting;Sparse reconstruction;in-the-wild,5.333333333333333,4.666666666666667,Mijeong Kim;Jongwoo Lim;Bohyung Han,Seoul National University;Seoul National University,Full Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96899,,,https://openreview.net/forum?id=0sycTGl4In,/media/PosterPDFs/NeurIPS%202024/96899.png?t=1733712090.5881364
+10,76,0.61073065,0.018717432,1,0.41016320776012516,-0.08083458347146323,"[9.354618978774356e-06, 0.999985023330978, 1.286755276263911e-19, 5.622050043237067e-06, 1.7525195948678313e-57]",0uGlKYS7a2,Maximizing utility in multi-agent environments by anticipating the behavior of other learners,Game Theory; no regret; learning theory;,5.5,3.25,Angelos Assos;Yuval Dagan;Constantinos Costis Daskalakis,Massachusetts Institute of Technology;Massachusetts Institute of Technology,MS student;Full Professor,https://neurips.cc/virtual/2024/poster/96898,,,https://openreview.net/forum?id=0uGlKYS7a2,/media/PosterPDFs/NeurIPS%202024/96898.png?t=1731753379.9098587
+10,77,-0.07488669,0.3827278,2,-0.08640495082265576,0.33966324117856084,"[6.73682415352724e-05, 7.508483699160371e-22, 0.997052874893642, 2.160573109309662e-37, 0.0028797568648225467]",0uXtFk5KNJ,BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models,block coordinate descent;large language models,5.25,3.75,Qijun Luo;Hengxu Yu;Xiao Li,"The Chinese University of Hong Kong, Shenzhen;The Chinese University of Hong Kong, Shenzhen;Chinese University of Hong Kong Shen Zhen",PhD student;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96897,,,https://openreview.net/forum?id=0uXtFk5KNJ,/media/PosterPDFs/NeurIPS%202024/96897.png?t=1733743857.9232197
+10,78,0.022653038,0.24370801,2,-0.08640495082265576,0.33966324117856084,"[0.3285335375377373, 8.536529143639976e-12, 0.6711376036217209, 1.3296856191496765e-19, 0.0003288588320052455]",0zFVhMBZHJ,Mixture of Tokens: Continuous MoE through Cross-Example Aggregation,LLM;Mixture of Experts;MoE;conditional computation;fully-differentiable;language modeling,6.0,3.6666666666666665,Szymon Antoniak;Michał Krutul;Maciej Pióro;Jakub Krajewski;Jan Ludziejewski;Kamil Ciebiera;Krystian Król;Tomasz Odrzygóźdź;Marek Cygan;Sebastian Jaszczur,IDEAS NCBR Sp.;IDEAS NCBR Sp.;University of Warsaw;University of Warsaw;IDEAS NCBR Sp.;University of Warsaw;IDEAS NCBR;Nomagic;University of Warsaw,PhD student;Researcher;PhD student;PhD student;Intern;MS student;Postdoc;Founder / CTO;PhD student,https://neurips.cc/virtual/2024/poster/96896,,,https://openreview.net/forum?id=0zFVhMBZHJ,/media/PosterPDFs/NeurIPS%202024/96896.png?t=1730308223.324062
+10,79,0.24368975,0.18879418,0,0.002945234561861476,-0.006432575103510035,"[0.9996523316741727, 0.00010284423670312582, 0.0002448239798301327, 1.0929392910362789e-10, 3.2276704989745667e-16]",0zWzJj6lO3,Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents,cooperative AI;AI safety;LLM agents;cognitive science;language model evaluation;dynamic evaluation;alignment;agency;evolving benchmarks;multi-agent interactions,5.75,3.5,Giorgio Piatti;Zhijing Jin;Max Kleiman-Weiner;Bernhard Schölkopf;Mrinmaya Sachan;Rada Mihalcea,Common Sense Machines;University of Michigan;Swiss Federal Institute of Technology,Principal Researcher;Full Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96895,,,https://openreview.net/forum?id=0zWzJj6lO3,
+10,80,-0.16938657,-0.05973538,0,0.002945234561861476,-0.006432575103510035,"[0.529397747872649, 8.356153917871802e-10, 6.758098706181137e-09, 1.2534403756095113e-06, 0.47060099109326126]",0zfUiSX5si,AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases,De Novo Peptide sequencing;Proteomics;Mass Spectrum,5.333333333333333,3.0,Jun Xia;Shaorong Chen;Jingbo Zhou;Xiaojun Shan;Wenjie Du;Zhangyang Gao;Cheng Tan;Bozhen Hu;Jiangbin Zheng;Stan Z. Li,"Westlake University, China;Westlake University;Jilin University;University of Electronic Science and Technology of China;University of Science and Technology of China;Westlake University, China;Zhejiang University & Westlake University;Westlake University;Westlake University;Westlake University",PhD student;PhD student;Undergrad student;Undergrad student;Assistant Professor;PhD student;PhD student;PhD student;PhD student;Chair Professor,https://neurips.cc/virtual/2024/poster/96894,,,https://openreview.net/forum?id=0zfUiSX5si,
+10,81,-0.25151917,-0.28693447,3,-0.09650341739853788,-0.29590062320104177,"[0.1893062522165287, 1.0380579531964424e-07, 6.600816648086707e-20, 0.6032521754569269, 0.20744146852074907]",105ZuvpdyW,SegVol: Universal and Interactive Volumetric Medical Image Segmentation,Volumetric Medical Image Segmentation;3D Segmentation Foundation Model;Universal and Interactive 3D Segmentation,7.666666666666667,4.333333333333333,Yuxin Du;Fan BAI;Tiejun Huang;Bo Zhao,Beijing Academy of Artificial Intelligence;The Chinese University of Hong Kong;Peking University;BAAI,Intern;PhD student;Full Professor;Principal Researcher,https://neurips.cc/virtual/2024/poster/96893,,,https://openreview.net/forum?id=105ZuvpdyW,/media/PosterPDFs/NeurIPS%202024/96893.png?t=1731410503.871179
+10,82,0.04577409,-0.24324691,3,-0.09650341739853788,-0.29590062320104177,"[0.048191424411287834, 0.01335578061035582, 2.7392011129847758e-22, 0.9384527944512259, 5.271304691768502e-10]",1067784F6e,Data Distribution Valuation,Data distribution valuation;Huber model;Maximum mean discrepancy,6.333333333333333,4.333333333333333,Xinyi Xu;Shuaiqi Wang;Chuan-Sheng Foo;Bryan Kian Hsiang Low;Giulia Fanti,"National University of Singapore;Carnegie Mellon University;Institute for Infocomm Research, A*STAR;National University of Singapore;Carnegie Mellon University",PhD student;PhD student;Principal Scientist;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96892,,,https://openreview.net/forum?id=1067784F6e,/media/PosterPDFs/NeurIPS%202024/96892.png?t=1731176029.7581189
+10,83,-0.22563006,-0.049784996,4,-0.23524571040060446,0.0016373495389210657,"[0.14910936091477872, 4.5703276415401826e-12, 3.002197989357886e-08, 1.3835535356374918e-08, 0.8508905952231358]",12A1RT1L87,Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?,Dataset Condensation;Dataset Distillation,5.666666666666667,3.6666666666666665,Lingao Xiao;Yang He,"School of Computer Science and  Engineering, Nanyang Technological University;Institute of High Performance Computing, Singapore, A*STAR",Undergrad student;Researcher,https://neurips.cc/virtual/2024/poster/96891,,,https://openreview.net/forum?id=12A1RT1L87,/media/PosterPDFs/NeurIPS%202024/96891.png?t=1731138766.8349779
+10,84,-0.20074943,0.040258985,4,-0.23524571040060446,0.0016373495389210657,"[0.08850853310171526, 1.1025206478699069e-13, 3.596072646296042e-05, 6.367893122286407e-13, 0.9114555061710748]",135eKqDoRR,Bayesian-guided Label Mapping for Visual Reprogramming,visual reprogramming;adversarial reprogramming;output label mapping;Bayesian probability,7.25,4.0,Chengyi Cai;Zesheng Ye;Lei Feng;Jianzhong Qi;Feng Liu,University of Melbourne;Singapore University of Technology and Design;University of Melbourne;University of Melbourne,PhD student;Assistant Professor;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96890,,,https://openreview.net/forum?id=135eKqDoRR,
+10,85,-0.1496939,0.30529067,2,-0.08640495082265576,0.33966324117856084,"[0.00023282343791365025, 1.673399947154071e-21, 0.941855060114082, 1.0893618592822724e-32, 0.05791211644800436]",14hLJr6kZ3,Enhancing Domain Adaptation through Prompt Gradient Alignment,transfer learning; domain adaptation; prompt-tuning,6.25,3.25,Hoang Phan;Tung Lam Tran;Quyen Tran;Trung Le,VinAi Research;VinAI Research;Monash University;New York University,Research resident;Research Resident;Assistant Professor;PhD student,https://neurips.cc/virtual/2024/poster/96889,,,https://openreview.net/forum?id=14hLJr6kZ3,/media/PosterPDFs/NeurIPS%202024/96889.png?t=1732036918.0147438
+10,86,0.2630342,0.051892787,0,0.002945234561861476,-0.006432575103510035,"[0.9239414718676677, 0.0758904590490216, 2.2487022902733137e-09, 0.0001680668346082642, 3.6888458179609934e-19]",15460JjocO,Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners,multi-agent;reinforcement learning;robustness;diversity;specialization,7.0,3.6666666666666665,Rujikorn Charakorn;Poramate Manoonpong;Nat Dilokthanakul,Sakana AI;Vidyasirimedhi Institute of Science and Technology;King Mongkut's Institute of Technology Ladkrabang,Intern;Full Professor;Lecturer,https://neurips.cc/virtual/2024/poster/96888,,,https://openreview.net/forum?id=15460JjocO,/media/PosterPDFs/NeurIPS%202024/96888.png?t=1731395258.7214391
+10,87,0.61719507,-0.024593957,1,0.41016320776012516,-0.08083458347146323,"[2.6258262577264233e-06, 0.9999924110630876, 3.2766663877004656e-22, 4.963110654692404e-06, 2.237434770772063e-59]",15Jm9v7wCo,No-Regret Learning for Fair Multi-Agent Social Welfare Optimization,Online Learning;Nash Social Welfare,5.666666666666667,3.3333333333333335,Mengxiao Zhang;Ramiro Deo-Campo Vuong;Haipeng Luo,University of Southern California;University of Southern California,Undergrad student;Associate Professor,https://neurips.cc/virtual/2024/poster/96887,,,https://openreview.net/forum?id=15Jm9v7wCo,
+10,88,-0.14552048,-0.15470643,0,0.002945234561861476,-0.006432575103510035,"[0.8999353787066208, 5.023772276065508e-07, 1.629644160298772e-13, 0.012947941230368085, 0.08711617768562051]",15PS30UOUp,Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping,Synthetic Aperture Radar;SAR;Deep Learning;Remote Sensing;Floods;dataset,6.75,3.75,Nikolaos Ioannis Bountos;Maria Sdraka;Angelos Zavras;Andreas Karavias;Ilektra Karasante;Themistocles Herekakis;Angeliki Thanasou;Dimitrios Michail;Ioannis Papoutsis,National Observatory of Athens;National Observatory of Athens;Harokopio University;The Centre for Research & Technology;National Observatory of Athens ;National Observatoty of Athens;National Observatory of Athens;Harokopio University;National Technical University of Athens,PhD student;Researcher;PhD student;Researcher;Researcher;Researcher;Researcher;Associate Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/97874,,,,
+10,89,0.004352061,-0.07103703,0,0.002945234561861476,-0.006432575103510035,"[0.9981463523700725, 4.3920290871419805e-05, 1.937601805732043e-11, 0.001800878344737294, 8.848974942721717e-06]",164QnJsYjF,Dense Associative Memory Through the Lens of Random Features,Associative Memory;Kernels;Random Features;Hopfield Network,6.0,3.0,Benjamin Hoover;Duen Horng Chau;Hendrik Strobelt;Parikshit Ram;Dmitry Krotov,International Business Machines;International Business Machines;International Business Machines;Massachusetts Institute of Technology;Georgia Institute of Technology,AI Research Engineer;Principal Researcher;Principal Researcher;Researcher;Full Professor,https://neurips.cc/virtual/2024/poster/96886,,,https://openreview.net/forum?id=164QnJsYjF,/media/PosterPDFs/NeurIPS%202024/96886.png?t=1733846086.053208
+10,90,-0.31772932,0.41427824,2,-0.08640495082265576,0.33966324117856084,"[6.602272229146598e-08, 7.427650625716922e-34, 0.998865478930379, 5.459296365554138e-53, 0.0011344550468988539]",168NLzTpw8,Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation,Vision-Language;Region-Level Understanding;Multimodal Large Language Model,5.75,3.75,Yaoyuan Liang;Zhuojun Cai;Jian Xu;Guanbo Huang;Yiran Wang;Xiao Liang;Jiahao Liu;Ziran Li;Jingang Wang;Shao-Lun Huang,"Tsinghua Shenzhen International Graduate School, Tsinghua University;Microsoft;University of Electronic Science and Technology of China;Tsinghua University;Tsinghua University;Meituan;Meituan;Tsinghua University",PhD student;Intern;Undergrad student;MS student;MS student;Researcher;Researcher;Associate Professor,https://neurips.cc/virtual/2024/poster/96885,,,https://openreview.net/forum?id=168NLzTpw8,
+10,91,-0.118134014,0.26676714,2,-0.08640495082265576,0.33966324117856084,"[0.0033555004073141693, 2.350418030184237e-18, 0.9026765789717102, 2.2684378290894777e-27, 0.09396792062097549]",181llen2gw,A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks,Vision-Language Model;Fairness;Debias,6.333333333333333,3.6666666666666665,Hoin Jung;Taeuk Jang;Xiaoqian Wang,Purdue University;Purdue University;Purdue University,PhD student;PhD student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96884,,,https://openreview.net/forum?id=181llen2gw,/media/PosterPDFs/NeurIPS%202024/96884.png?t=1731379505.2628894
+10,92,-0.19037005,0.30377576,2,-0.08640495082265576,0.33966324117856084,"[8.614725075272459e-05, 3.619708072216731e-23, 0.9252081276093643, 2.2473680296685544e-34, 0.07470572513988286]",18FGRNd0wZ,Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation,tokenization of crystals;language models;materials generation,6.0,3.5,Keqiang Yan;Xiner Li;Hongyi Ling;Kenna Ashen;Carl Edwards;Raymundo Arroyave;Marinka Zitnik;Heng Ji;Xiaofeng Qian;Xiaoning Qian;Shuiwang Ji,"Texas A&M University;Texas A&M University - College Station;Texas A&M University - College Station;Texas A&M University - College Station;Genentech;Texas A&M University Main Campus;Harvard University;University of Illinois, Urbana-Champaign;Texas A&M University;Texas A&M;Texas A&M University",PhD student;PhD student;PhD student;PhD student;Intern;Assistant Professor;Full Professor;Associate Professor;Full Professor;Professor,https://neurips.cc/virtual/2024/poster/96883,,,https://openreview.net/forum?id=18FGRNd0wZ,/media/PosterPDFs/NeurIPS%202024/96883.png?t=1733428872.6393995
+10,93,-0.18803668,0.09546091,4,-0.23524571040060446,0.0016373495389210657,"[0.056256640170435177, 7.600993750404723e-15, 0.001457262723789394, 4.521218731981138e-16, 0.9422860971057675]",18RdkSv9h9,FINALLY: fast and universal speech enhancement with studio-like quality,speech enhancement; generative models,6.5,4.75,Nicholas Babaev;Kirill Tamogashev;Azat Saginbaev;Ivan Shchekotov;Hanbin Bae;Hosang Sung;WonJun Lee;Hoon-Young Cho;Pavel Andreev,"Samsung;Skolkovo Institute of Science and Technology;Moscow Institute of Physics and Technology;Samsung;Samsung;Samsung;Higher School of Economics, Higher School of Economics",Researcher;MS student;MS student;Principal Researcher;Researcher;Vice President;MS student,https://neurips.cc/virtual/2024/poster/96882,,,https://openreview.net/forum?id=18RdkSv9h9,/media/PosterPDFs/NeurIPS%202024/96882.png?t=1731683595.700073
+10,94,0.32727078,-0.11709024,1,0.41016320776012516,-0.08083458347146323,"[0.00241181034444741, 0.9865055121461364, 2.0626715948735662e-20, 0.011082677509416394, 2.0737256392485832e-28]",1ATLLgvURu,Learning-Augmented Priority Queues,learning-augmented algorithms;algorithms with predictions;priority queue;shortest paths;Dijkstra,5.75,4.25,Ziyad Benomar;Christian Coester,University of Oxford,Associate Professor,https://neurips.cc/virtual/2024/poster/96881,,,https://openreview.net/forum?id=1ATLLgvURu,
+10,95,0.3095995,0.5030761,2,-0.08640495082265576,0.33966324117856084,"[0.008900521776045197, 5.301609110009345e-12, 0.9910994782186533, 1.468284819005821e-32, 1.2450986677198503e-18]",1BZKqZphsW,Risk-Averse Fine-tuning of Large Language Models,Risk Averse Reinforcement Learning;Large Language Model Finetuning,5.8,3.2,Sapana Chaudhary;Ujwal Dinesha;Dileep Kalathil;Srinivas Shakkottai,Texas A&M University;Texas A&M University - College Station;Texas A&M University;Texas A&M,PhD student;PhD student;Associate Professor;Full Professor,https://neurips.cc/virtual/2024/poster/96880,,,https://openreview.net/forum?id=1BZKqZphsW,/media/PosterPDFs/NeurIPS%202024/96880.png?t=1733328781.5713553
+10,96,-0.26364937,-0.38828564,3,-0.09650341739853788,-0.29590062320104177,"[0.012830750427640243, 2.5564601031094153e-07, 3.285449279838873e-27, 0.9765312138074457, 0.010637780118903735]",1CssOqRYyz,Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds,compression;point cloud;diffusion,4.0,4.0,Kai Liu;Kang You;Pan Gao,"Nanjing University of Aeronautics and Astronautics;Nanjing university;Nanjing University of Aeronautics and Astronautics, Tsinghua University",MS student;PhD student;Associate Professor,,,,,
+10,97,-0.25224024,-0.31188005,3,-0.09650341739853788,-0.29590062320104177,"[0.09077563446074763, 1.4046869789990082e-07, 1.0427518956181823e-21, 0.8223334482264414, 0.08689077684411314]",1Du3mMP5YN,Learning to Shape In-distribution Feature Space for Out-of-distribution Detection,Out-of-distribution Detection,5.75,4.0,Yonggang Zhang;Jie Lu;Bo Peng;Zhen Fang;Yiu-ming Cheung,Hong Kong Baptist University;University of Technology Sydney;University of Technology Sydney,Postdoc;Professor;Assistant Professor,https://neurips.cc/virtual/2024/poster/96879,,,https://openreview.net/forum?id=1Du3mMP5YN,/media/PosterPDFs/NeurIPS%202024/96879.png?t=1731745181.7993424
+10,98,-0.30068702,-0.14781809,4,-0.23524571040060446,0.0016373495389210657,"[0.16194374668334552, 6.963032715809104e-12, 1.0515411632995545e-11, 1.2963999753227383e-05, 0.8380432892994227]",1ELFGSNBGC,Multiview Scene Graph,scene representation; spatial understanding; place recognition; object correspondence; scene graph,5.25,3.25,Juexiao Zhang;Gao Zhu;Sihang Li;Xinhao Liu;Haorui Song;Xinran Tang;Chen Feng,New York University;New York University;New York University;New York University;New York University;New York University;New York University,PhD student;MS student;PhD student;PhD student;MS student;MS student;Assistant Professor,https://neurips.cc/virtual/2024/poster/96878,,,https://openreview.net/forum?id=1ELFGSNBGC,/media/PosterPDFs/NeurIPS%202024/96878.png?t=1731728482.5838113
+10,99,-0.09486352,0.005280091,0,0.002945234561861476,-0.006432575103510035,"[0.9463312916674134, 4.960982754379853e-09, 7.183613404303632e-07, 5.3005741806212476e-08, 0.05366793200452171]",1F32iCJFfa,Schrodinger Bridge Flow for Unpaired Data Translation,unpaired data translation;diffusion models;Schrodinger bridge;bridge matching;stochastic interpolant;flow matching,6.5,4.0,Valentin De Bortoli;Iryna Korshunova;Andriy Mnih;Arnaud Doucet,University of Oxford;Google DeepMind;Google DeepMind;University of Oxford,Postdoc;Researcher;Research Scientist;Full Professor,https://neurips.cc/virtual/2024/poster/96877,,,https://openreview.net/forum?id=1F32iCJFfa,/media/PosterPDFs/NeurIPS%202024/96877.png?t=1731688420.732189