Learning to generate imaginary tasks for improving generalization in meta-learning

Yichen Wu, Long-Kai Huang, Ying Wei

The success of meta-learning on existing benchmarks is predicated on the assumption that the distribution of meta-training tasks covers meta-testing tasks. Frequent violation of th…