Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning

Haoxiang Wang, Yite Wang, Ruoyu Sun +1

Model-agnostic meta-learning (MAML) and its variants have become popular approaches for few-shot learning. However, due to the non-convexity of deep neural nets (DNNs) and the bi-l…