| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | CIFAR-100 (test) | Accuracy94.55 | 3,518 | |
| Image Classification | CIFAR-10 (test) | Accuracy99.612 | 3,381 | |
| Image Classification | CIFAR-10 (test) | Accuracy99.1 | 906 | |
| Image Classification | CIFAR-10 | Accuracy99.3 | 875 | |
| Image Classification | CIFAR-100 | Accuracy95.96 | 691 | |
| Image Classification | CIFAR-10 | Accuracy99.61 | 564 | |
| Image Generation | CIFAR-10 (test) | FID0.282 | 536 | |
| Image Classification | CIFAR-10 | Accuracy100 | 507 | |
| Image Classification | CIFAR-100 | Accuracy93.96 | 435 | |
| Image Classification | CIFAR-100 (test) | Top-1 Accuracy85.4 | 395 | |
| Image Classification | CIFAR-10 (val) | Top-1 Accuracy99.3 | 377 | |
| Image Classification | CIFAR100 | Accuracy92 | 347 | |
| Backdoor Defense | CIFAR10 (test) | ASR0 | 327 | |
| Image Clustering | CIFAR-10 | NMI0.95 | 318 | |
| Image Classification | CIFAR-100 | Accuracy94.2 | 302 | |
| Image Classification | CIFAR100 | Accuracy94.1 | 301 | |
| Image Classification | CIFAR-100 original (test) | Accuracy78.05 | 293 | |
| Image Classification | CIFAR10 (test) | Test Accuracy99 | 284 | |
| Image Classification | CIFAR10 | Accuracy (%)99.15 | 282 | |
| Class Incremental Learning | CIFAR-100 | Averaged Incremental Accuracy94.98 | 281 | |
| Unconditional Image Generation | CIFAR-10 | FID1.36 | 280 | |
| Image Classification | CIFAR-10 (test) | Accuracy (Clean)95.9 | 273 | |
| Image Classification | CIFAR-10 | Accuracy98 | 246 | |
| Image Classification | CIFAR10 | Accuracy99.1 | 240 | |
| Image Classification | CIFAR-100 Long-Tailed (test) | Top-1 Accuracy83.6 | 234 |