| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MTIL Order II | Average Acc89.2 | 76 | 14d ago | ||
| MTIL Aircraft, Caltech101, CIFAR100, DTD, EuroSAT, Flowers, Food, MNIST, OxfordPet, Cars, SUN397 | Dual-RAIL | Caltech101 Accuracy96.8 | 32 | 2mo ago | |
| MTIL few-shot Order II (test) | MoE-Adapters | Accuracy (Food)88.8 | 20 | 23d ago | |
| MTIL | CHEEM | Average Accuracy85.9 | 20 | 2mo ago | |
| MTIL Aircraft, Caltech101, CIFAR100, DTD, EuroSAT, Flowers, Food, MNIST, OxfordPet, Cars, SUN397 | ConDU (FT) | Aircraft Score59.6 | 15 | 2mo ago | |
| MTIL benchmark | DIKI | Inference Time3 | 4 | 1mo ago | |
| MTIL-FS 16-shot (test) | Dynamic Prefix Weighting | Transfer Accuracy69.6 | 3 | 1mo ago |