| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR100 | BalCAL | Classwise ECE0.0096 | 99 | 8d ago | |
| CIFAR10 | AFL | Classwise ECE0.33 | 84 | 1mo ago | |
| PACS Photo | ECE0.48 | 39 | 12d ago | ||
| ImageNet 16H 1.0 (test) | P+L | ECE0.0197 | 35 | 3mo ago | |
| PACS Sketch | ECE1.54 | 30 | 12d ago | ||
| PACS Cartoon | ECL | ECE2.04 | 30 | 12d ago | |
| PACS Art | ECE2.12 | 30 | 12d ago | ||
| TinyImageNet | Classwise ECE0.14 | 28 | 1mo ago | ||
| ImageNet | BalCAL | Accuracy82.32 | 15 | 8d ago | |
| FMoW | FLSD-53 | Accuracy53.81 | 9 | 2d ago | |
| iWildCam | Accuracy77.51 | 9 | 2d ago | ||
| Camelyon 17 | FGR | Accuracy89.19 | 9 | 2d ago | |
| Tiny ImageNet C | Mixup | Accuracy26.26 | 9 | 2d ago | |
| CIFAR-100-C | Accuracy59.87 | 9 | 2d ago | ||
| CIFAR-10-C | Accuracy82.49 | 9 | 2d ago | ||
| BloodMNIST | Dirichlet | NLL0.3119 | 9 | 8d ago | |
| ImageNet Sketch | CwECE0.93 | 6 | 12d ago | ||
| ImageNet-C trained on ImageNet-LT Gaussian noise corruption level 5 (test) | CALS-ALM | ECE12.91 | 5 | 3mo ago |
