| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MNIST digits 8, 9 n=10000 (unlabeled points) | Average Run Time (s)0.01 | 25 | 4d ago | ||
| tieredImageNet (test) | TPN-semi | Accuracy71.01 | 16 | 4d ago | |
| MNIST 100 labels | ADGM | Error Rate0.0096 | 16 | 4d ago | |
| SVHN 1000 labels | ADGM | Error Rate16.61 | 14 | 4d ago | |
| ImageNet 10% labels (train) | TWIST | Top-1 Accuracy0.765 | 12 | 4d ago | |
| ImageNet 1% labels (train) | TWIST | Top-1 Acc69.6 | 12 | 4d ago | |
| ImageNet 10% labels 1K (val) | LEWEL_B | Top-5 Acc90.1 | 10 | 4d ago | |
| ImageNet 1% labels 1K (val) | LEWEL_B | Top-5 Accuracy83.2 | 10 | 4d ago | |
| ImageNet 10% labels | BYOL | Top-1 Acc77.7 | 10 | 4d ago | |
| MNIST 100 labels statically binarized (test) | SSLGAN | Error Rate (%)0.8 | 10 | 4d ago | |
| MNIST 1000 labels | Ladder Networks | Error Rate0.0084 | 8 | 4d ago | |
| STL-10 25 labels per class | UniMatch V2 | Accuracy (Seed 0)91.7 | 4 | 4d ago | |
| NORB 1000 labels | VAT | Error Rate9.96 | 1 | 4d ago | |
| SVHN 500 labels | - | - | 0 | 4d ago | |
| MNIST 50 labels | - | - | 0 | 4d ago | |
| MNIST 20 labels | - | - | 0 | 4d ago |
