Jheng-Yu Wang

Domain-Agnostic Meta-Learning for Cross-Domain Few-Shot Classification

Few-shot classification requires one to classify instances of novel classes, given only a few examples of each class. Although promising meta-learning methods have been proposed recently, there is no guarantee that existing solutions would generalize to novel classes from an unseen domain. In this p…