Global Convergence and Generalization Bound of Gradient-Based Meta-Learning with Deep Neural Nets

Haoxiang Wang, Ruoyu Sun, Bo Li

Gradient-based meta-learning (GBML) with deep neural nets (DNNs) has become a popular approach for few-shot learning. However, due to the non-convexity of DNNs and the bi-level opt…