How Sensitive are Meta-Learners to Dataset Imbalance?

Mateusz Ochal, Massimiliano Patacchiola, Amos Storkey +2

Meta-Learning (ML) has proven to be a useful tool for training Few-Shot Learning (FSL) algorithms by exposure to batches of tasks sampled from a meta-dataset. However, the standard…