Class Unlearning on Tiny-ImageNet (test)
96.72Df (Degree of Forgetting)Original
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OriginalDr (Access to remaining data)=false, Backbone=ViT2025.04 | 96.72 | 96.47 | 90.3 | 90.24 | 6.34 | 17.52 | 55.8 | — | — | — | — | |
| OriginalBackbone=ViT, KD Data Source=Unseen data (test data)2025.04 | 96.72 | 96.47 | 90.3 | 90.24 | 6.34 | 17.52 | — | — | — | — | — | |
| OriginalBackbone=ResNet-182025.12 | 64.52 | 63.49 | — | — | — | — | 0 | — | — | — | — | |
| FinetuneDr (Access to remaining data)=true, Backbone=ViT2025.04 | 20.58 | 96.95 | 18.77 | 84.55 | 87.31 | 82.86 | 59.4 | — | — | — | — | |
| BSDr (Access to remaining data)=false, Backbone=ViT2025.04 | 11.25 | 14.52 | 10.03 | 14.54 | 24.96 | 25.03 | 60.07 | — | — | — | — | |
| RLDr (Access to remaining data)=false, Backbone=ViT2025.04 | 5.13 | 5.76 | 5.57 | 5.71 | 10.86 | 10.76 | 52.9 | — | — | — | — | |
| ESC-TBackbone=ViT, KD Data Source=Unseen data (test data)2025.04 | 0.14 | 96.4 | 0 | 90.51 | 98.1 | 95.02 | — | — | — | — | — | |
| ESCBackbone=ViT, KD Data Source=Unseen data (test data)2025.04 | 0.12 | 94.94 | 0 | 89.36 | 97.35 | 94.38 | — | — | — | — | — | |
| ESCDr (Access to remaining data)=false, Backbone=ViT2025.04 | 0.1 | 96.36 | 0.03 | 90.57 | 98.1 | 95.03 | 50.2 | — | — | — | — | |
| RetrainDr (Access to remaining data)=false, Backbone=ViT2025.04 | 0 | 96.93 | 0 | 86.02 | 98.44 | 92.48 | 51.33 | — | — | — | — | |
| NGDr (Access to remaining data)=false, Backbone=ViT2025.04 | 0 | 0.56 | 0 | 0.56 | 1.11 | 1.11 | 48.57 | — | — | — | — | |
| LAUDr (Access to remaining data)=true, Backbone=ViT2025.04 | 0 | 95.62 | 0 | 89.76 | 97.76 | 94.6 | 49.03 | — | — | — | — | |
| ESC-TDr (Access to remaining data)=false, Backbone=ViT2025.04 | 0 | 96.49 | 0 | 90.57 | 98.21 | 95.05 | 56.73 | — | — | — | — | |
| RetrainBackbone=ResNet-182025.12 | 0 | 63.32 | — | — | — | — | 100 | — | — | — | — | |
| FTBackbone=ResNet-182025.12 | 0 | 58.92 | — | — | — | — | 83.62 | — | — | — | — | |
| RLBackbone=ResNet-182025.12 | 0 | 41.58 | — | — | — | — | 83.55 | — | — | — | — | |
| SCRUBBackbone=ResNet-182025.12 | 0 | 62.31 | — | — | — | — | 87.73 | — | — | — | — | |
| TRWBackbone=ResNet-182025.12 | 0 | 62.78 | — | — | — | — | 100 | — | — | — | — | |
| TRW-2RBackbone=ResNet-182025.12 | 0 | 62.84 | — | — | — | — | 100 | — | — | — | — | |
| B. ShrinkingSetting=Zero-Shot Setting, Access to Dr=false2026.01 | — | — | — | — | — | — | — | — | 47.9 | 22 | 4.17 | |
| Bad TeacherSetting=Standard Setting, Access to Dr and Df=true2026.01 | — | — | — | — | — | — | — | — | 56 | 8.4 | 2.5 | |
| CVFUm (number of unlearning classes)=40, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 54.98 | — | — | — | |
| CVFUm (number of unlearning classes)=100, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 51.18 | — | — | — | |
| EMMNSetting=Zero-Shot Setting, Access to Dr=false2026.01 | — | — | — | — | — | — | — | — | 0.5 | 0 | 21.77 | |
| FedORAm (number of unlearning classes)=40, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 59.6 | — | — | — | |
| FedORAm (number of unlearning classes)=100, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 56.16 | — | — | — | |
| Fine-tuningSetting=Reference Baselines2026.01 | — | — | — | — | — | — | — | — | 55.8 | 7.6 | 2.5 | |
| GAm (number of unlearning classes)=40, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 55.3 | — | — | — | |
| GAm (number of unlearning classes)=100, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 47.74 | — | — | — | |
| GKTSetting=Zero-Shot Setting, Access to Dr=false2026.01 | — | — | — | — | — | — | — | — | 45.5 | 34 | 2.2 | |
| ICOm (number of unlearning classes)=40, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 57.13 | — | — | — | |
| ICOm (number of unlearning classes)=100, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 54.68 | — | — | — | |
| Representation UnlearningSetting=Standard Setting, Access to Dr and Df=true2026.01 | — | — | — | — | — | — | — | — | 58.7 | 0.6 | 1.8 | |
| Representation UnlearningSetting=Zero-Shot Setting, Access to Dr=false2026.01 | — | — | — | — | — | — | — | — | 51.6 | 0.5 | 1.98 | |
| Retrainm (number of unlearning classes)=40, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 58.26 | — | — | — | |
| Retrainm (number of unlearning classes)=100, n (percentage of samples to unlearn)=100%2025.12 | — | — | — | — | — | — | — | 55.71 | — | — | — | |
| RetrainingSetting=Reference Baselines2026.01 | — | — | — | — | — | — | — | — | 59.7 | 0 | 0 | |
| SCRUBSetting=Standard Setting, Access to Dr and Df=true2026.01 | — | — | — | — | — | — | — | — | 48.9 | 0 | 2.11 | |
| SISASetting=Standard Setting, Access to Dr and Df=true2026.01 | — | — | — | — | — | — | — | — | 58.9 | 58.2 | 1.87 | |
| UNSIRSetting=Standard Setting, Access to Dr and Df=true2026.01 | — | — | — | — | — | — | — | — | 46.9 | 46.3 | 4.91 |