To Learn Effective Features: Understanding the Task-Specific Adaptation of MAML

no code implementations • 1 Jan 2021 • Zhijie Lin, Zhou Zhao, Zhu Zhang, Huai Baoxing, Jing Yuan

Model Agnostic Meta-Learning~(MAML)~(\cite{finn2017model}) is one of the most well-known gradient-based meta learning algorithms, that learns the meta-initialization through the inner and outer optimization loop.

Contrastive Learning Meta-Learning