Machine Unlearning on STL-10
96.46AccuracyOriginal
Evaluation Results
| Method | Links | |
|---|---|---|
| OriginalBackbone=RN1012026.05 | 96.46 | |
| CLIP-LIPBackbone=RN1012026.05 | 95.75 | |
| CLIP-LIPBackbone=RN502026.05 | 93.92 | |
| OriginalBackbone=RN502026.05 | 93.75 | |
| TIFSBackbone=RN1012026.05 | 90.38 | |
| ICEDBackbone=RN1012026.05 | 89.46 | |
| ICEDBackbone=RN502026.05 | 87.2 | |
| TIFSBackbone=RN502026.05 | 75.66 | |
| FTBackbone=RN1012026.05 | 65.7 | |
| GABackbone=RN1012026.05 | 60.44 | |
| EMMNBackbone=RN502026.05 | 54.02 | |
| FTBackbone=RN502026.05 | 43.81 | |
| EMMNBackbone=RN1012026.05 | 41.95 | |
| GABackbone=RN502026.05 | 30.9 | |
| FisherBackbone=RN502026.05 | 19.69 | |
| LIPBackbone=RN1012026.05 | 16.4 | |
| FisherBackbone=RN1012026.05 | 14.85 | |
| LIPBackbone=RN502026.05 | 12.56 |