Infinite Mixture Prototypes for Few-shot Learning

Kelsey Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum

Abstract: We propose infinite mixture prototypes to adaptively represent both simple and complex data distributions for few-shot learning. Infinite mixture prototypes combine deep representation learning wit...