On the Subspace Structure of Gradient-Based Meta-Learning

Gustaf Tegnér, Alfredo Reichlin, Hang Yin +2

In this work we provide an analysis of the distribution of the post-adaptation parameters of Gradient-Based Meta-Learning (GBML) methods. Previous work has noticed how, for the cas…