| category-agnostic-pose-estimation-on-mp100 | MAML | #2 | Mean PCK@0.2 - 1shot: 61.50 |
| few-shot-image-classification-on-omniglot-5-shot-5-way | MAML | #2 | Accuracy: 99.9 |
| few-shot-image-classification-on-mini-imagenet-cub-5-way-1-shot | MAML (Finn et al., 2017) | #8 | Accuracy: 40.15 |
| few-shot-image-classification-on-dirichlet-mini-imagenet-5-way-5-shot | MAML | #10 | 1:1 Accuracy: 64.5 |
| few-shot-image-classification-on-meta-dataset-rank | fo-MAML | #10 | Mean Rank: 10.25 |
| few-shot-image-classification-on-mini-imagenet-10-way-5-shot | MAML + Transduction | #10 | Accuracy: 48.2 |
| few-shot-image-classification-on-mini-imagenet-10-way-5-shot | MAML | #13 | Accuracy: 46.9 |
| few-shot-image-classification-on-omniglot-1-shot-5-way | MAML | #10 | Accuracy: 98.7 |
| few-shot-image-classification-on-tiered-imagenet-10-way-5-shot | MAML + Transduction | #10 | Accuracy: 54.7 |
| few-shot-image-classification-on-tiered-imagenet-10-way-5-shot | MAML | #11 | Accuracy: 53.3 |
| few-shot-image-classification-on-dirichlet-mini-imagenet-5-way-1-shot | MAML | #11 | 1:1 Accuracy: 47.6 |
| few-shot-image-classification-on-tiered-imagenet-10-way-1-shot | MAML + Transduction | #11 | Accuracy: 34.8 |
| few-shot-image-classification-on-tiered-imagenet-10-way-1-shot | MAML | #12 | Accuracy: 34.4 |
| few-shot-image-classification-on-mini-imagenet-10-way-1-shot | MAML + Transduction | #12 | Accuracy: 31.8 |
| few-shot-image-classification-on-mini-imagenet-10-way-1-shot | MAML | #13 | Accuracy: 31.3 |
| few-shot-image-classification-on-meta-dataset | fo-MAML | #18 | Accuracy: 57.024 |
| few-shot-image-classification-on-mini-imagenet-5-way-5-shot | MAML | #88 | Accuracy: 63.1 |
| few-shot-image-classification-on-mini-imagenet-5-way-1-shot | MAML | #95 | Accuracy: 48.7 |