Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

1 code implementation • ICLR 2021 • Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien

Model-agnostic meta-learning (MAML) is a popular method for few-shot learning but assumes that we have access to the meta-training set.

Few-Shot Learning