Machine Unlearning on ImageNet-1K Target Class
80Zero-Shot AccuracyOriginal
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OriginalBackbone=RN1012026.05 | 80 | — | |
| OriginalBackbone=RN502026.05 | 68 | — | |
| EMMNBackbone=RN1012026.05 | 68 | 85 | |
| CLIP-LIPBackbone=RN502026.05 | 37 | 54.41 | |
| GABackbone=RN1012026.05 | 32 | 40 | |
| GABackbone=RN502026.05 | 14.5 | 21.32 | |
| EMMNBackbone=RN502026.05 | 10 | 14.71 | |
| FTBackbone=RN502026.05 | 4 | 5.88 | |
| CLIP-LIPBackbone=RN1012026.05 | 2 | 2.5 | |
| ICEDBackbone=RN1012026.05 | 2 | 2.5 | |
| ICEDBackbone=RN502026.05 | 1.2 | 1.76 | |
| FisherBackbone=RN1012026.05 | 1.12 | 1.4 | |
| LIPBackbone=RN502026.05 | 0.95 | 1.4 | |
| LIPBackbone=RN1012026.05 | 0.24 | 0.3 | |
| FisherBackbone=RN502026.05 | 0.2 | 0.29 | |
| TIFSBackbone=RN502026.05 | 0 | 0 | |
| FTBackbone=RN1012026.05 | 0 | 0 | |
| TIFSBackbone=RN1012026.05 | 0 | 0 |