Machine Unlearning on Tiny-ImageNet (test)
92.17Residual Accuracy
LOFT
Updated 19d ago
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
2026.01 | 92.17 | 0.02 | 0.08 | 0.42 | - | - | - | |
2026.01 | 91.13 | 49.98 | 38.82 | 31.88 | - | - | - | |
2026.01 | 90.57 | 0 | 0 | 0 | - | - | - | |
2026.01 | 90.03 | 15.38 | 1.1 | 7.72 | - | - | - | |
2026.01 | 87.93 | 11.61 | 2.74 | 6.31 | - | - | - | |
2026.01 | 81.07 | 10.96 | 1.16 | 6.23 | - | - | - | |
2026.01 | 75.43 | 74.45 | 95.34 | - | - | - | - | |
2026.01 | 33.1 | 24.07 | 3.28 | 35.27 | - | - | - | |
2026.01 | 23.43 | 13.75 | 5.39 | 35.12 | - | - | - | |
2026.01 | 23.3 | 15.05 | 12.25 | 36.95 | - | - | - | |
2026.01 | 21.3 | 12.57 | 4.09 | 35.16 | - | - | - | |
2026.01 | 19.1 | 11.91 | 3.66 | 35.63 | - | - | - | |
2026.01 | 12.2 | 8.1 | 11.41 | 38.64 | - | - | - | |
2026.03 | - | - | - | - | 64.45 | 95.71 | 90.58 | |
2026.03 | - | - | - | - | 3.11 | 91.27 | 88.88 | |
2026.03 | - | - | - | - | 89.38 | 94.95 | 93.33 | |
2026.03 | - | - | - | - | 88.33 | 93.65 | 89.19 | |
2026.03 | - | - | - | - | 1.56 | 16.57 | 75.85 | |
2026.03 | - | - | - | - | 78.11 | 89.27 | 78.91 | |
2026.03 | - | - | - | - | 75.57 | 90.41 | 83.04 | |
2026.03 | - | - | - | - | 7.22 | 81.97 | 88.29 | |
2026.03 | - | - | - | - | 5.67 | 55.81 | 73 | |
2026.03 | - | - | - | - | 44.33 | 77.05 | 87.9 | |
2026.03 | - | - | - | - | 0 | 37.33 | 89.64 | |
2026.03 | - | - | - | - | 3.11 | 91.27 | 88.88 | |
2026.03 | - | - | - | - | 24.22 | 85.14 | 85.42 |