Object Classification Unlearning on Tiny ImageNet 10% random data forgetting
26.9UARL
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| RLBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 26.9 | 96 | 81.4 | 72.4 | 0.969 | 0.952 | 17.89 | 8.572 | 0.054 | 0.111 | |
| NegGrad+Backbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 19.4 | 98.3 | 84 | 91.1 | 0.999 | 0.89 | 0.949 | 1.614 | 1.052 | 0.552 | |
| TeacherBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 17.3 | 86.7 | 79 | 82.7 | 0.977 | 0.956 | 5.473 | 5.08 | 0.179 | 0.188 | |
| RTBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 14.7 | 98.8 | 86 | 85.4 | 0.944 | 0.949 | 1.876 | 1.84 | 0.503 | 0.516 | |
| SFRonBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 9.3 | 97 | 83.9 | 92.5 | 0.989 | 0.948 | 2 | 2.208 | 0.495 | 0.429 | |
| SalunBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 9.2 | 97.7 | 83.6 | 70 | 0.995 | 0.964 | 2.803 | 2.726 | 0.528 | 0.376 | |
| LoTUSBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 7.5 | 85.6 | 78.6 | 89.7 | 0.995 | 0.949 | 2.747 | 3.711 | 0.29 | 0.256 | |
| FTBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 6.9 | 97.9 | 84.1 | 91.7 | 0.994 | 0.95 | 2.133 | 2.44 | 0.466 | 0.389 | |
| GABackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 3.2 | 97.4 | 84.9 | 99.7 | 0.996 | 0.947 | 1.539 | 2.018 | 0.647 | 0.469 | |
| MUNBaBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 1.9 | 99 | 86.2 | 91.6 | 0.998 | 0.949 | 1.408 | 1.844 | 0.77 | 0.515 | |
| SSDBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 1.5 | 98.5 | 86.1 | 96.8 | 0.998 | 0.95 | 1.354 | 1.827 | 0.737 | 0.52 | |
| SCRUBBackbone=ViT, Unlearning Scenario=10% random data forgetting2025.01 | 1.3 | 98.7 | 86.3 | 94.1 | 0.998 | 0.95 | 1.309 | 1.769 | 0.761 | 0.537 |