| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | CIFAR10 (test) | Accuracy99.5 | 585 | |
| Classification | CIFAR10 (test) | Accuracy97.42 | 266 | |
| Image Generation | CIFAR10 32x32 (test) | FID1.1 | 154 | |
| Graph Classification | CIFAR10 (test) | Test Accuracy76.903 | 139 | |
| Image Generation | CIFAR10 50k samples (test) | FID1.79 | 81 | |
| Image Classification | CIFAR10 (test) | Accuracy98.1 | 76 | |
| Image Classification | CIFAR10 long-tailed (test) | Accuracy85.5 | 68 | |
| Image Classification | CIFAR10 LT (test) | Accuracy86.2 | 68 | |
| Image Classification | CIFAR10 IDN (test) | Accuracy96.68 | 67 | |
| Continual Learning | Split CIFAR10 32x32 (test) | Accuracy60.1 | 66 | |
| Image Classification | CIFAR10 non-iid | Accuracy80.5 | 58 | |
| Image Classification Calibration | CIFAR10 | Classwise ECE0.35 | 56 | |
| Image Classification | CIFAR10-C (test) | Accuracy (Gaussian)89.94 | 52 | |
| Image Classification | CIFAR10 5 tasks (test) | Accuracy69.1 | 51 | |
| Continual Learning | CIFAR10 5 tasks (test) | Avg Forgetting Rate10 | 51 | |
| Image Classification | CIFAR10 | Training Loss0.02 | 48 | |
| Data Valuation | CIFAR10 | Provider Influence (Mean)0.508 | 48 | |
| Sequential Image Classification | Sequential CIFAR10 | Accuracy91.13 | 48 | |
| Binary Classification | CIFAR10 Binary imb. 200 (test) | FPR @ 98% TPR0.7 | 41 | |
| Image Classification | CIFAR10 (val) | Accuracy90.87 | 40 | |
| Task-Incremental Learning | CIFAR10 Sequential | Final Average Accuracy98.25 | 39 | |
| Image Classification | CIFAR10 0.1-Dirichlet (test) | Generalized Accuracy (Accg)66.34 | 38 | |
| Image Classification | CIFAR10 (test) | Accuracy89.77 | 36 | |
| Image Classification | CIFAR10 standard (test) | Top-1 Accuracy97.4 | 35 | |
| Out-of-distribution detection | CIFAR10 ID Place365 OOD (test) | AUROC97.99 | 35 |