Image Classification on CelebA and CelebA-CF
95.53AccuracyScratch
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Scratchloss=vanilla cross-entropy2026.07 | 95.53 | 10.26 | 47.1 | |
| Scratch2026.07 | 95.53 | 10.26 | 47.1 | |
| SSFairness-aware training algorithm=SS2026.07 | 95.44 | 9.13 | 42.95 | |
| Scratchaugmentation=true2026.07 | 95.41 | 4.65 | 44.71 | |
| RW+CPFairness-aware training algorithm=RW, CP regularization (+CP)=true2026.07 | 95.19 | 4.67 | 25.56 | |
| RWCP=true2026.07 | 95.19 | 4.67 | 25.56 | |
| SS+augFairness-aware training algorithm=SS, Counterfactual image augmentation (+aug)=true2026.07 | 95.17 | 5.24 | 40.8 | |
| RWFairness-aware training algorithm=RW2026.07 | 95.16 | 5.5 | 24.21 | |
| RW2026.07 | 95.16 | 5.5 | 24.21 | |
| RW+augFairness-aware training algorithm=RW, Counterfactual image augmentation (+aug)=true2026.07 | 95.13 | 5.34 | 24.63 | |
| RWaugmentation=true2026.07 | 95.13 | 5.34 | 24.63 | |
| LBC+CPFairness-aware training algorithm=LBC, CP regularization (+CP)=true2026.07 | 95.12 | 4.72 | 22.78 | |
| LBCCP=true2026.07 | 95.12 | 4.72 | 22.78 | |
| LBCFairness-aware training algorithm=LBC2026.07 | 94.92 | 6.24 | 22.61 | |
| LBC2026.07 | 94.92 | 6.24 | 22.61 | |
| SS+CPFairness-aware training algorithm=SS, CP regularization (+CP)=true2026.07 | 94.54 | 2.4 | 37.97 | |
| COVFairness-aware training algorithm=COV2026.07 | 94.42 | 7.72 | 34.04 | |
| COV2026.07 | 94.42 | 7.72 | 34.04 | |
| LBC+augFairness-aware training algorithm=LBC, Counterfactual image augmentation (+aug)=true2026.07 | 94.39 | 9.32 | 36.08 | |
| LBCaugmentation=true2026.07 | 94.39 | 9.32 | 36.08 | |
| MFDFairness-aware training algorithm=MFD2026.07 | 94.37 | 4.61 | 19 | |
| COV+CPFairness-aware training algorithm=COV, CP regularization (+CP)=true2026.07 | 94.29 | 5.36 | 51.63 | |
| COVCP=true2026.07 | 94.29 | 5.36 | 51.63 | |
| CKD (λ = 0)Lambda parameter (λ)=02026.07 | 94.12 | 4.31 | 14.11 | |
| CPCP regularization (+CP)=true2026.07 | 94.1 | 2.53 | 51.01 | |
| CP2026.07 | 94.1 | 2.53 | 51.01 | |
| COV+augFairness-aware training algorithm=COV, Counterfactual image augmentation (+aug)=true2026.07 | 94.08 | 8.11 | 29.03 | |
| COVaugmentation=true2026.07 | 94.08 | 8.11 | 29.03 | |
| MFD+CPFairness-aware training algorithm=MFD, CP regularization (+CP)=true2026.07 | 93.81 | 3.47 | 23.31 | |
| MFD+augFairness-aware training algorithm=MFD, Counterfactual image augmentation (+aug)=true2026.07 | 93.78 | 3.87 | 14.36 | |
| CKD2026.07 | 93.08 | 4.44 | 13.23 | |
| CKD2026.07 | 93.08 | 4.44 | 13.23 |