Image Classification on CIFAR-10B (α=0.8)
79.03AccuracyCOV
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| COVFairness-aware training algorithm=COV2026.07 | 79.03 | 13.9 | 24.05 | |
| CKD2026.07 | 78.49 | 2.85 | 7.3 | |
| Scratchloss=vanilla cross-entropy2026.07 | 78.01 | 17.9 | 27.46 | |
| COV+CPFairness-aware training algorithm=COV, CP regularization (+CP)=true2026.07 | 77.74 | 4.3 | 19.42 | |
| MFD+augFairness-aware training algorithm=MFD, Counterfactual image augmentation (+aug)=true2026.07 | 77.1 | 11.16 | 14.79 | |
| LBC+CPFairness-aware training algorithm=LBC, CP regularization (+CP)=true2026.07 | 76.88 | 3.02 | 12.45 | |
| MFDFairness-aware training algorithm=MFD2026.07 | 76.84 | 12.24 | 15.39 | |
| MFD+CPFairness-aware training algorithm=MFD, CP regularization (+CP)=true2026.07 | 76.67 | 10.01 | 13.17 | |
| SS+CPFairness-aware training algorithm=SS, CP regularization (+CP)=true2026.07 | 76.54 | 3.14 | 9.08 | |
| RWFairness-aware training algorithm=RW2026.07 | 76.53 | 12.15 | 18.94 | |
| COV+augFairness-aware training algorithm=COV, Counterfactual image augmentation (+aug)=true2026.07 | 76.52 | 8.17 | 15.04 | |
| CKD (λ = 0)Lambda parameter (λ)=02026.07 | 76.32 | 8.59 | 11.23 | |
| LBCFairness-aware training algorithm=LBC2026.07 | 76.16 | 15.01 | 17.12 | |
| RW+augFairness-aware training algorithm=RW, Counterfactual image augmentation (+aug)=true2026.07 | 76.15 | 12.93 | 20.94 | |
| LBC+augFairness-aware training algorithm=LBC, Counterfactual image augmentation (+aug)=true2026.07 | 75.82 | 9.01 | 15.29 | |
| RW+CPFairness-aware training algorithm=RW, CP regularization (+CP)=true2026.07 | 75.68 | 8.83 | 13.92 | |
| CPCP regularization (+CP)=true2026.07 | 75.26 | 2.05 | 33.23 | |
| SSFairness-aware training algorithm=SS2026.07 | 74.77 | 16.42 | 25.73 | |
| SS+augFairness-aware training algorithm=SS, Counterfactual image augmentation (+aug)=true2026.07 | 73.45 | 9.95 | 15.21 |