2021
Contrastive prototype learning with augmented embeddings for few-shot learning
UAI 2021poster
Most recent few-shot learning (FSL) methods are based on meta-learning with episodic training. In each meta-training episode, a discriminative feature embedding and/or classifier are first constructed from a support set in an inner loop, and then evaluated in an outer loop using a query set for mode…