Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications

Minyang Hu, Hong Chang, Zong Guo +3

Few-shot learning (FSL) aims to learn novel tasks with very few labeled samples by leveraging experience from \emph{related} training tasks. In this paper, we try to understand FSL…