Cross-modal Retrieval on CheXpert Plus
13.83Recall@1Entropy Regularization
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Entropy RegularizationVariant=Entropy, Setting=Random, N=100, Statistic=Mean ± SD2026.06 | 13.83 | 39.344 | 55.276 | 26.847 | |
| Entropy RegularizationVariant=Entropy, Setting=Random, N=100, Statistic=95% CI2026.06 | 13.533 | 38.841 | 54.775 | 26.515 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=100, Statistic=Mean ± SD2026.06 | 4.562 | 17.304 | 30.019 | 13.14 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=100, Statistic=95% CI2026.06 | 4.382 | 16.961 | 29.55 | 12.926 | |
| Entropy RegularizationVariant=Entropy, Setting=Random, N=1,000, Statistic=Mean ± SD2026.06 | 2.627 | 9.579 | 15.624 | 7.268 | |
| Entropy RegularizationVariant=Entropy, Setting=Random, N=1,000, Statistic=95% CI2026.06 | 2.491 | 9.291 | 15.253 | 7.088 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=1,000, Statistic=Mean ± SD2026.06 | 0.648 | 2.772 | 4.943 | 2.596 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=1,000, Statistic=95% CI2026.06 | 0.58 | 2.605 | 4.726 | 2.499 | |
| Entropy RegularizationVariant=Entropy, Setting=Random, N=10,000, Statistic=Mean ± SD2026.06 | 0.402 | 1.588 | 2.795 | 1.483 | |
| Entropy RegularizationVariant=Entropy, Setting=Random, N=10,000, Statistic=95% CI2026.06 | 0.34 | 1.458 | 2.623 | 1.401 | |
| Entropy RegularizationVariant=Entropy, Setting=Hard-neg, N=10,000, Statistic=Mean ± SD2026.06 | 0.272 | 1.079 | 2.045 | 1.088 | |
| Entropy RegularizationVariant=Entropy, Setting=Hard-neg, N=10,000, Statistic=95% CI2026.06 | 0.214 | 0.96 | 1.891 | 1.016 | |
| Entropy RegularizationVariant=Entropy, Setting=Random, N=29,296, Statistic=Mean ± SD2026.06 | 0.158 | 0.664 | 1.208 | 0.666 | |
| Entropy RegularizationVariant=Entropy, Setting=Random, N=29,296, Statistic=95% CI2026.06 | 0.109 | 0.57 | 1.075 | 0.609 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=10,000, Statistic=Mean ± SD2026.06 | 0.09 | 0.334 | 0.645 | 0.428 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=10,000, Statistic=95% CI2026.06 | 0.064 | 0.278 | 0.559 | 0.391 | |
| head-only differentially private finetuningVariant=DP, Setting=Hard-neg, N=10,000, Statistic=Mean ± SD2026.06 | 0.059 | 0.244 | 0.471 | 0.333 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=29,296, Statistic=Mean ± SD2026.06 | 0.034 | 0.143 | 0.245 | 0.179 | |
| head-only differentially private finetuningVariant=DP, Setting=Hard-neg, N=10,000, Statistic=95% CI2026.06 | 0.032 | 0.192 | 0.401 | 0.301 | |
| head-only differentially private finetuningVariant=DP, Setting=Random, N=29,296, Statistic=95% CI2026.06 | 0.014 | 0.102 | 0.191 | 0.157 |