Machine Unlearning on CIFAR-100 Random Forget (forget set 20%)
97.02FAIU
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| IUBackbone=ResNet-18, Gamma=1/42026.01 | 97.02 | 96.91 | 70.57 | 2.98 | 20.35 | |
| FTBackbone=ResNet-18, Gamma=1/42026.01 | 96.61 | 99.93 | 69.98 | 3.39 | 19.24 | |
| BEBackbone=ResNet-18, Gamma=1/42026.01 | 95.41 | 96.06 | 65.83 | 4.59 | 18.57 | |
| GABackbone=ResNet-18, Gamma=1/42026.01 | 95.22 | 96.66 | 68.83 | 4.78 | 19.07 | |
| l1-sparseBackbone=ResNet-18, Gamma=1/42026.01 | 94.02 | 93.88 | 65.51 | 5.98 | 18.34 | |
| BSBackbone=ResNet-18, Gamma=1/42026.01 | 87.04 | 87.67 | 58.13 | 12.96 | 16.54 | |
| SFRonBackbone=ResNet-18, Gamma=1/42026.01 | 65.3 | 99.98 | 66.42 | 33.69 | 2.95 | |
| RetrainBackbone=ResNet-18, Gamma=1/42026.01 | 62.09 | 99.95 | 62.1 | 37.91 | 0 | |
| FalWBackbone=ResNet-18, Gamma=1/42026.01 | 61.74 | 99.98 | 62.69 | 38.26 | 0.33 | |
| SalUnBackbone=ResNet-18, Gamma=1/42026.01 | 59.71 | 96.92 | 60.11 | 40.29 | 2.44 | |
| RLBackbone=ResNet-18, Gamma=1/42026.01 | 47.49 | 96.99 | 61.46 | 42.51 | 5.7 |