2021
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
ICLR 2021poster
The need of collecting large quantities of labeled training data for each new task has limited the usefulness of deep neural networks. Given data from a set of source tasks, this limitation can be overcome using two transfer learning approaches: few-shot learning (FSL) and self-supervised learning (…