| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-100 (test) | Vision Transformer (ViT-H/14) | Accuracy94.55 | 3,518 | 4mo ago | |
| CIFAR-10 (test) | Efficient Adaptive Ensembling | Accuracy99.612 | 3,381 | 4mo ago | |
| ImageNet-1K 1.0 (val) | RevCol-H | Top-1 Accuracy90 | 2,386 | 1mo ago | |
| ImageNet 1k (val) | CoCa | Top-1 Accuracy91 | 1,498 | 1mo ago | |
| ImageNet-1K | AutoV | Top-1 Acc97.1 | 1,239 | 3mo ago | |
| ImageNet (val) | VOLO-D5 | Top-1 Acc87.1 | 1,206 | 4mo ago | |
| CIFAR-10 (test) | DP-Adam | Accuracy98.2 | 1,063 | 29d ago | |
| CIFAR-10 | SVFit | Accuracy99.3 | 973 | 16d ago | |
| ImageNet 1K (val) | ViT-22B | Top-1 Accuracy89.5 | 960 | 16d ago | |
| ImageNet 1k (test) | Model Soups | Top-1 Accuracy91 | 939 | 23d ago | |
| CIFAR-10 (test) | DeiT-B | Accuracy99.1 | 906 | 4mo ago | |
| MNIST (test) | Accuracy99.35 | 894 | 4mo ago | ||
| ImageNet-1K (val) | CoAtNet-7 | Top-1 Accuracy90.9 | 871 | 1mo ago | |
| Tiny-ImageNet (test) | CLAdapter | Accuracy94.21 | 859 | 18d ago | |
| CIFAR-100 (val) | DoRA | Accuracy94.11 | 781 | 1mo ago | |
| ImageNet V2 | ViT-B/16 | Top-1 Acc86.9 | 767 | 16d ago | |
| ImageNet A | Best model on each test set (oracle) | Top-1 Acc94.47 | 723 | 23d ago | |
| ImageNet 1k (val) | DRiFt_Temps | Top-1 Acc94.8 | 706 | 4mo ago | |
| Stanford Cars | LaCLIP | Accuracy99.5 | 705 | 23d ago | |
| CIFAR-100 | ViT-22B | Accuracy95.96 | 691 | 4mo ago | |
| MNIST (test) | CLoVE | Accuracy99.8 | 654 | 29d ago | |
| Fashion MNIST (test) | Accuracy97.9 | 633 | 1mo ago | ||
| ImageNet-R | Lion | Top-1 Acc96.8 | 622 | 23d ago | |
| DTD | iSICE | Accuracy88.9 | 610 | 1mo ago | |
| ImageNet-1k | ViT-e/14 | Top-1 Acc90.9 | 600 | 4mo ago |
