Machine Unlearning on Tiny-ImageNet (train)
100Removal Accuracy (Train)
FT
Updated 4d ago
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
2026.01 | 100 | 69.98 | - | |
2026.01 | 99.98 | 6.3 | 1 | |
2026.01 | 99.98 | 7.7 | 0.3 | |
2026.01 | 99.98 | 17.6 | 1.07 | |
2026.01 | 99.97 | 0 | - | |
2026.01 | 99.93 | 4.9 | - | |
2026.01 | 99.69 | 0 | 0 | |
2026.01 | 99.67 | 0 | 0 | |
2026.01 | 99.66 | 0 | 0 | |
2026.01 | 99.65 | 0 | - | |
2026.01 | 99.64 | 99.63 | - | |
2026.01 | 99.63 | 0.03 | - | |
2026.01 | 99.63 | 99.9 | - | |
2026.01 | 99.63 | 99.6 | 99.9 | |
2026.01 | 99.63 | 99.3 | 99.8 | |
2026.01 | 99.62 | 99.6 | 99.75 | |
2026.01 | 99.21 | 8 | - | |
2026.01 | 98.77 | 20.4 | - | |
2026.01 | 98.72 | 13.88 | - | |
2026.01 | 98.57 | 21.6 | - | |
2026.01 | 98.33 | 10.6 | 3.9 | |
2026.01 | 97.37 | 6.95 | - | |
2026.01 | 97 | 8.5 | - | |
2026.01 | 96.86 | 4.2 | - | |
2026.01 | 96.48 | 5.5 | 0.07 | |
2026.01 | 96.39 | 1.7 | 0.35 | |
2026.01 | 96.27 | 5.1 | 3.85 | |
2026.01 | 95.77 | 7.5 | 0.5 | |
2026.01 | 93.07 | 3.8 | 2.43 | |
2026.01 | 91.42 | 20.3 | 6.6 | |
2026.01 | 80.3 | 6.3 | 1 | |
2026.01 | 72.06 | 6.4 | 4.45 | |
2026.01 | 47.28 | 3 | 1.63 | |
2026.01 | 45.16 | 0.7 | 0.3 | |
2026.01 | 35.77 | 27.33 | - | |
2026.01 | 27.39 | 17.57 | - | |
2026.01 | 26.98 | 16.33 | - | |
2026.01 | 24.77 | 14.66 | - | |
2026.01 | 23.9 | 15 | - | |
2026.01 | 14.26 | 9.61 | - | |
2026.01 | 10.96 | 0.3 | 0 |