Jeremy S.Smith

Attentive Prototype Few-shot Learning with Capsule Network-based Embedding

Few-shot learning, namely recognizing novel categories with a very small amount of training examples, is a challenging area of machine learning research. Traditional deep learning methods require massive training data to tune the huge number of parameters, which is often impractical and prone to ove…