| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-10 | Retain Accuracy100 | 60 | 5d ago | ||
| CIFAR-10 | SalUn | PUL99.35 | 40 | 1mo ago | |
| CIFAR-10 (test) | Df98.42 | 35 | 12d ago | ||
| Lacuna 10 (test) | CF-k | Test Error (Mean)1.48 | 27 | 1mo ago | |
| Lacuna-10 | Test Error1.67 | 27 | 1mo ago | ||
| CIFAR-100 (test) | Acc (Dr)80.71 | 22 | 12d ago | ||
| Tiny-ImageNet (test) | Df (Degree of Forgetting)96.72 | 19 | 1mo ago | ||
| CIFAR-10 | Test Error13.98 | 18 | 1mo ago | ||
| CIFAR-10 | CF-k | MIA Accuracy (Mean)75.73 | 18 | 1mo ago | |
| Small CIFAR-5 | CF-k | Retention Accuracy99.96 | 13 | 1mo ago | |
| CIFAR-10 | l1 | U-LiRA Accuracy98.32 | 12 | 1mo ago | |
| CIFAR-100 | SSD | Average Gap0.4325 | 10 | 1mo ago | |
| TinyImageNet (TinyIN) | Average Gap0 | 10 | 1mo ago | ||
| CIFAR-10 | Test Error (Mean)14.72 | 9 | 1mo ago | ||
| CIFAR-100 forget (Class-0) | Forget Error0 | 7 | 1mo ago | ||
| CIFAR-100 retain (train) | Retain Error0.07 | 7 | 1mo ago | ||
| AWA2 | CCUP | Accuracy (Forgetting, BF)89.64 | 6 | 1mo ago | |
| CUB | Acc (Forget, BF)41.21 | 6 | 1mo ago | ||
| tinyImageNet (Butcher Shop) | PUL (%)83.37 | 5 | 25d ago | ||
| tinyImageNet (Fish) | SalUn | PUL39.33 | 5 | 25d ago | |
| CIFAR-10 (Ship) | PUL (%)92.86 | 5 | 25d ago | ||
| CIFAR-10 Automobile | SA | PUL2.25 | 5 | 24d ago | |
| MNIST Digit-8 | SalUn | Privacy Utility Loss (PUL)32.53 | 5 | 25d ago | |
| MNIST Digit-1 | PUL (%)90.07 | 5 | 25d ago | ||
| FashionMNIST (test) | Retention Accuracy99 | 2 | 1mo ago |
