2022
Better Embedding and More Shots for Few-shot Learning
IJCAI 2022poster
In few-shot learning, methods are enslaved to the scarce labeled data, resulting in suboptimal embedding. Recent studies learn the embedding network by other large-scale labeled data. However, the trained network may give rise to the distorted embedding of target data. We argue two respects are requ…