Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
Published in CVPR 2022
Haoxiang Wang†, Yite Wang†, Ruoyu Sun, and Bo Li.
This work studies global convergence properties of MAML and proposes theory-inspired NAS for few-shot learning.