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@@ -83,10 +83,10 @@ A list of available models with their computational cost is described in the fol
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  | audioenc_name_student | Params [M] | ESC-50 | UrbanSound8K | TUT17 |
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  |:-----:|:----------:|:------:|:------------:|:-----:|
 
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  | Cnn14 | 82.8 | 81.3% | 72.3% | 23.7% |
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  | phinet_alpha_1.50_beta_0.75_t0_6_N_7 | 4.4 | 77.3% | 69.7% | 21.9% |
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- **Note**: I am currently computing the confidence intervals for these results. Due to seed variability and CUDA version mismatch, the numbers might be slightly different from those reported in the paper.
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  The original paper's checkpoints are available through [this link](https://www.dropbox.com/scl/fi/e3aj76vxwlb4w6hs3mclv/tinyCLAP_results.zip?rlkey=7fl426tz1vf686oyosvja8i9s&dl=0).
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  ## Citing tinyCLAP
 
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  | audioenc_name_student | Params [M] | ESC-50 | UrbanSound8K | TUT17 |
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  |:-----:|:----------:|:------:|:------------:|:-----:|
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+ | MSFT CLAP | 82.8 | 80.7% | 72.1% | 25.2% |
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  | Cnn14 | 82.8 | 81.3% | 72.3% | 23.7% |
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  | phinet_alpha_1.50_beta_0.75_t0_6_N_7 | 4.4 | 77.3% | 69.7% | 21.9% |
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  The original paper's checkpoints are available through [this link](https://www.dropbox.com/scl/fi/e3aj76vxwlb4w6hs3mclv/tinyCLAP_results.zip?rlkey=7fl426tz1vf686oyosvja8i9s&dl=0).
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  ## Citing tinyCLAP