Christopher Schrรถder

cschroeder

AI & ML interests

NLP, Active Learning, Text Representations, PyTorch

Recent Activity

posted an update 7 days ago
๐Ÿ’ก๐—Ÿ๐—ผ๐—ผ๐—ธ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐˜€๐˜‚๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜: ๐—›๐—ฎ๐˜ƒ๐—ฒ ๐˜†๐—ผ๐˜‚ ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ ๐—ต๐—ฎ๐—ฑ ๐˜๐—ผ ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ ๐—น๐—ฎ๐—ฐ๐—ธ ๐—ผ๐—ณ ๐—น๐—ฎ๐—ฏ๐—ฒ๐—น๐—ฒ๐—ฑ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐˜๐—ผ ๐—ฑ๐—ฒ๐—ฎ๐—น ๐˜„๐—ถ๐˜๐—ต ๐—ฎ๐—ป ๐—ก๐—Ÿ๐—ฃ ๐˜๐—ฎ๐˜€๐—ธ? Are you working on Natural Language Processing tasks and have faced the challenge of a lack of labeled data before? ๐—ช๐—ฒ ๐—ฎ๐—ฟ๐—ฒ ๐—ฐ๐˜‚๐—ฟ๐—ฟ๐—ฒ๐—ป๐˜๐—น๐˜† ๐—ฐ๐—ผ๐—ป๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ป๐—ด ๐—ฎ ๐˜€๐˜‚๐—ฟ๐˜ƒ๐—ฒ๐˜† to explore the strategies used to address this bottleneck, especially in the context of recent advancements, including but not limited to large language models. The survey is non-commercial and conducted solely for academic research purposes. The results will contribute to an open-access publication that also benefits the community. ๐Ÿ‘‰ With only 5โ€“15 minutes of your time, you would greatly help to investigate which strategies are used by the #NLP community to overcome a lack of labeled data. โค๏ธHow you can help even more: If you know others working on supervised learning and NLP, please share this survey with themโ€”weโ€™d really appreciate it! Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271 Estimated time required: 5โ€“15 minutes Deadline for participation: January 12, 2025 #NLP #ML
liked a Space 14 days ago
data-is-better-together/fineweb-c
liked a model 24 days ago
PleIAs/celadon
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๐Ÿ’ก๐—Ÿ๐—ผ๐—ผ๐—ธ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐˜€๐˜‚๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜: ๐—›๐—ฎ๐˜ƒ๐—ฒ ๐˜†๐—ผ๐˜‚ ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ ๐—ต๐—ฎ๐—ฑ ๐˜๐—ผ ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ฐ๐—ผ๐—บ๐—ฒ ๐—ฎ ๐—น๐—ฎ๐—ฐ๐—ธ ๐—ผ๐—ณ ๐—น๐—ฎ๐—ฏ๐—ฒ๐—น๐—ฒ๐—ฑ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐˜๐—ผ ๐—ฑ๐—ฒ๐—ฎ๐—น ๐˜„๐—ถ๐˜๐—ต ๐—ฎ๐—ป ๐—ก๐—Ÿ๐—ฃ ๐˜๐—ฎ๐˜€๐—ธ?

Are you working on Natural Language Processing tasks and have faced the challenge of a lack of labeled data before? ๐—ช๐—ฒ ๐—ฎ๐—ฟ๐—ฒ ๐—ฐ๐˜‚๐—ฟ๐—ฟ๐—ฒ๐—ป๐˜๐—น๐˜† ๐—ฐ๐—ผ๐—ป๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ป๐—ด ๐—ฎ ๐˜€๐˜‚๐—ฟ๐˜ƒ๐—ฒ๐˜† to explore the strategies used to address this bottleneck, especially in the context of recent advancements, including but not limited to large language models.

The survey is non-commercial and conducted solely for academic research purposes. The results will contribute to an open-access publication that also benefits the community.

๐Ÿ‘‰ With only 5โ€“15 minutes of your time, you would greatly help to investigate which strategies are used by the #NLP community to overcome a lack of labeled data.

โค๏ธHow you can help even more: If you know others working on supervised learning and NLP, please share this survey with themโ€”weโ€™d really appreciate it!

Survey: https://bildungsportal.sachsen.de/umfragen/limesurvey/index.php/538271
Estimated time required: 5โ€“15 minutes
Deadline for participation: January 12, 2025

#NLP #ML
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1082
๐Ÿฃ New release: small-text v2.0.0.dev1

With small language models on the rise, the new version of small-text has been long overdue! Despite the generative AI hype, many real-world tasks still rely on supervised learningโ€”which is reliant on labeled data.

Highlights:
- Four new query strategies: Try even more combinations than before.
- Vector indices integration: HNSW and KNN indices are now available via a unified interface and can easily be used within your code.
- Simplified installation: We dropped the torchtext dependency and cleaned up a lot of interfaces.

Github: https://github.com/webis-de/small-text

๐Ÿ‘‚ Try it out for yourself! We are eager to hear your feedback.
๐Ÿ”ง Share your small-text applications and experiments in the newly added showcase section.
๐ŸŒŸ Support the project by leaving a star on the repo!

#activelearning #nlproc #machinelearning

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