Interclass Confusion Unlearning on CIFAR-100
74.06Accuracy RetentionNone
Evaluation results
| Method | Links | |
|---|---|---|
| NoneNum. Corrupted Samples=2502026.04 | 74.06 | |
| NoneNum. Corrupted Samples=1002026.04 | 73.82 | |
| NoneNum. Corrupted Samples=5002026.04 | 73.81 | |
| RewoDNum. Corrupted Samples=1002026.04 | 1.29 | |
| RewoDNum. Corrupted Samples=5002026.04 | 1.13 | |
| RewoDNum. Corrupted Samples=2502026.04 | 0.99 | |
| CFNum. Corrupted Samples=1002026.04 | 0.63 | |
| CFNum. Corrupted Samples=5002026.04 | 0.53 | |
| CFNum. Corrupted Samples=2502026.04 | 0.46 | |
| BadTNum. Corrupted Samples=1002026.04 | 0.22 | |
| ScrubNum. Corrupted Samples=1002026.04 | 0.17 | |
| SSDNum. Corrupted Samples=1002026.04 | 0.14 | |
| BadTNum. Corrupted Samples=2502026.04 | 0.05 | |
| SSDNum. Corrupted Samples=2502026.04 | 0 | |
| SSDNum. Corrupted Samples=5002026.04 | 0 | |
| BadTNum. Corrupted Samples=5002026.04 | -0.02 | |
| ScrubNum. Corrupted Samples=5002026.04 | -0.05 | |
| ScrubNum. Corrupted Samples=2502026.04 | -0.06 | |
| RELOADNum. Corrupted Samples=1002026.04 | -4.45 | |
| RELOADNum. Corrupted Samples=5002026.04 | -4.93 | |
| RELOADNum. Corrupted Samples=2502026.04 | -5.21 |