Model-Agnostic Meta Learning (MAML)

This talk is about Model-Agnostic Meta Learning (MAML), a meta-learning technique developed by Chelsea Finn et al, which helps AI models perform well on tasks it has never seen before. The talk also introduces multi-task learning and few-shot learning, which are crucial to understanding this paper.