Machine Unlearning on Aggregate CIFAR-10, Food, STL, ObjectNet, ImageNet
95.4Average ScoreICED
Evaluation Results
| Method | Links | |
|---|---|---|
| ICEDBackbone=RN502026.05 | 95.4 | |
| ICEDBackbone=RN1012026.05 | 93.97 | |
| CLIP-LIPBackbone=RN1012026.05 | 90.63 | |
| CLIP-LIPBackbone=RN502026.05 | 86.91 | |
| TIFSBackbone=RN1012026.05 | 86.66 | |
| TIFSBackbone=RN502026.05 | 79.18 | |
| EMMNBackbone=RN502026.05 | 52.44 | |
| FTBackbone=RN1012026.05 | 43.28 | |
| FTBackbone=RN502026.05 | 41.52 | |
| EMMNBackbone=RN1012026.05 | 38.44 | |
| GABackbone=RN1012026.05 | 35.94 | |
| GABackbone=RN502026.05 | 31.84 | |
| LIPBackbone=RN1012026.05 | 22.85 | |
| FisherBackbone=RN502026.05 | 22.49 | |
| LIPBackbone=RN502026.05 | 21.94 | |
| FisherBackbone=RN1012026.05 | 21.53 |