An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

3 code implementations • 28 Sep 2022 • Xiu-Shen Wei, He-Yang Xu, Faen Zhang, Yuxin Peng, Wei Zhou

Semi-supervised few-shot learning consists in training a classifier to adapt to new tasks with limited labeled data and a fixed quantity of unlabeled data.

Few-Shot Learning