| Few-Shot Learning with Global Class Representations | ✓ Link | 99.63 | GCR | 2019-08-14 |
| Decoder Choice Network for Meta-Learning | ✓ Link | 99.11 | DCN6-E | 2019-09-25 |
| Decoder Choice Network for Meta-Learning | ✓ Link | 98.8% | DCN4 | 2019-09-25 |
| TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning | ✓ Link | 98.07% | TapNet | 2019-05-16 |
| HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning | ✓ Link | 97.7 | MAML++ | 2022-01-11 |
| How to train your MAML | ✓ Link | 97.65 | MAML++ | 2018-10-22 |
| Learning to Compare: Relation Network for Few-Shot Learning | ✓ Link | 97.6% | Relation Net | 2017-11-16 |
| Adaptive Posterior Learning: few-shot learning with a surprise-based memory module | ✓ Link | 97.2% | APL | 2019-02-07 |
| Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace | ✓ Link | 96.2% | MT-net | 2018-01-17 |
| Meta-Learning with Implicit Gradients | ✓ Link | 96.18 | iMAML, Hessian-Free | 2019-09-10 |
| Rapid Adaptation with Conditionally Shifted Neurons | | 96.12% | adaCNN (DF) | 2017-12-28 |
| Prototypical Networks for Few-shot Learning | ✓ Link | 96% | Prototypical Networks | 2017-03-15 |
| Hyperbolic Image Embeddings | ✓ Link | 95.9% | Hyperbolic ProtoNet | 2019-04-03 |
| Learning to Remember Rare Events | ✓ Link | 95% | ConvNet with Memory Module | 2017-03-09 |
| Matching Networks for One Shot Learning | ✓ Link | 93.8% | Matching Nets | 2016-06-13 |
| Towards a Neural Statistician | ✓ Link | 93.2% | Neural Statistician | 2016-06-07 |
| Uncertainty in Model-Agnostic Meta-Learning using Variational Inference | ✓ Link | 93.2 | VAMPIRE | 2019-07-27 |
| On First-Order Meta-Learning Algorithms | ✓ Link | 89.43% | Reptile + Transduction | 2018-03-08 |
| Meta-Curvature | ✓ Link | 88% | MC2+ | 2019-02-09 |
| Meta-Learning without Memorization | ✓ Link | 83.3 | MR-MAML | 2019-12-09 |