| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR-100 (test) | Vision Transformer (ViT-H/14) | Accuracy94.55 | 3,518 | 1mo ago | |
| CIFAR-10 (test) | Efficient Adaptive Ensembling | Accuracy99.612 | 3,381 | 1mo ago | |
| ImageNet-1K 1.0 (val) | RevCol-H | Top-1 Accuracy90 | 1,952 | 19d ago | |
| ImageNet 1k (val) | CoCa | Top-1 Accuracy91 | 1,469 | 1mo ago | |
| ImageNet-1K | AutoV | Top-1 Acc97.1 | 1,239 | 8d ago | |
| ImageNet (val) | VOLO-D5 | Top-1 Acc87.1 | 1,206 | 1mo ago | |
| CIFAR-10 (test) | DeiT-B | Accuracy99.1 | 906 | 1mo ago | |
| MNIST (test) | Accuracy99.35 | 894 | 1mo ago | ||
| ImageNet 1k (test) | Model Soups | Top-1 Accuracy91 | 848 | 19d ago | |
| ImageNet 1K (val) | ViT-22B | Top-1 Accuracy89.5 | 844 | 19d ago | |
| CIFAR-100 (val) | DoRA | Accuracy94.11 | 776 | 2d ago | |
| ImageNet 1k (val) | DRiFt_Temps | Top-1 Acc94.8 | 706 | 1mo ago | |
| CIFAR-100 | ViT-22B | Accuracy95.96 | 691 | 1mo ago | |
| ImageNet A | Best model on each test set (oracle) | Top-1 Acc94.47 | 654 | 16d ago | |
| Stanford Cars | LaCLIP | Accuracy99.5 | 635 | 4d ago | |
| ImageNet V2 | ViT-B/16 | Top-1 Acc86.9 | 611 | 8d ago | |
| ImageNet-1k | ViT-e/14 | Top-1 Acc90.9 | 600 | 22d ago | |
| Fashion MNIST (test) | Accuracy97.9 | 592 | 12d ago | ||
| CIFAR10 (test) | WiSE-FT | Accuracy99.5 | 585 | 1mo ago | |
| Clothing1M (test) | SOMNet | Accuracy82.1 | 574 | 1mo ago | |
| EuroSAT | PaRaMS | Accuracy99.81 | 569 | 15d ago | |
| CIFAR-10 | Efficient Adaptive Ensembling (Full method) | Accuracy99.61 | 564 | 1mo ago | |
| Flowers102 | AdapterTune | Accuracy99.43 | 558 | 22d ago | |
| ImageNet-1K (val) | CoAtNet-7 | Top-1 Accuracy90.9 | 543 | 25d ago | |
| DTD | iSICE | Accuracy88.9 | 542 | 17d ago |
