Coarse-grained Unlearning on Imagenette
100Atar
CA
Updated 1mo ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2025.03 | 100 | 86.11 | |
2025.03 | 99.85 | 86.05 | |
2025.03 | 99.8 | 88.55 | |
2025.03 | 99.6 | 86.08 | |
2025.03 | 97.24 | 86.37 | |
2025.03 | 97 | 86.4 | |
2025.03 | 94.64 | 89.525 | |
2025.03 | 94.39 | 85.88 | |
2025.03 | 90.6 | 86.67 | |
2025.03 | 84 | 90.52 | |
2025.03 | 82 | 88.27 | |
2025.03 | 81.85 | 89.7 | |
2025.03 | 75 | 83.86 | |
2025.03 | 72.8 | 86.35 | |
2025.03 | 72 | 88.23 | |
2025.03 | 68.8 | 86.26 | |
2025.03 | 53.6 | 82.55 | |
2025.03 | 50 | 81.75 | |
2025.03 | 47.88 | 76.26 | |
2025.03 | 47 | 83.64 | |
2025.03 | 38.88 | 81.11 | |
2025.03 | 35.5 | 79.11 | |
2025.03 | 28 | 87.15 | |
2025.03 | 27.2 | 79.42 | |
2025.03 | 25 | 87.58 | |
2025.03 | 24 | 54.8 | |
2025.03 | 21.8 | 81.46 | |
2025.03 | 20.22 | 81.44 | |
2025.03 | 20.2 | 85.35 | |
2025.03 | 16 | 80.26 | |
2025.03 | 13.89 | 76.91 | |
2025.03 | 11.6 | 54.33 | |
2025.03 | 9.4 | 65.57 | |
2025.03 | 5.2 | 68.57 | |
2025.03 | 4 | 20.93 | |
2025.03 | 4 | 52.73 | |
2025.03 | 4 | 62.71 | |
2025.03 | 4 | 72.67 | |
2025.03 | 3 | 38.13 | |
2025.03 | 3 | 7.66 | |
2025.03 | 2 | 87.31 | |
2025.03 | 1.79 | 56.22 | |
2025.03 | 1.6 | 85.25 | |
2025.03 | 1 | 72.57 | |
2025.03 | 0.87 | 39.97 | |
2025.03 | 0.8 | 62.57 | |
2025.03 | 0.72 | 84.05 | |
2025.03 | 0.6 | 65.5 | |
2025.03 | 0.6 | 61.5 | |
2025.03 | 0.27 | 21.26 | |
2025.03 | 0.2 | 60.55 | |
2025.03 | 0.1 | 69.88 | |
2025.03 | 0 | 77.08 | |
2025.03 | 0 | 86.28 | |
2025.03 | 0 | 66.66 | |
2025.03 | 0 | 39.22 | |
2025.03 | 0 | 70.22 | |
2025.03 | 0 | 88.9 | |
2025.03 | 0 | 72.93 | |
2025.03 | 0 | 85.15 | |
2025.03 | 0 | 66.37 | |
2025.03 | 0 | 87.22 | |
2025.03 | 0 | 66.57 | |
2025.03 | 0 | 89.3 | |
2025.03 | 0 | 72.22 | |
2025.03 | 0 | 87.85 | |
2025.03 | 0 | 83.75 | |
2025.03 | 0 | 64.97 | |
2025.03 | 0 | 88.2 | |
2025.03 | 0 | 69.82 |