1. Matching networks for one shot learning;Vinyals
2. Prototypical networks for few-shot learning;Snell
3. Learning to Compare: Relation Network for Few-Shot Learning
4. Model-agnostic meta-learning for fast adaptation of deep networks;Finn
5. Low-Shot Learning with Imprinted Weights