Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning

Konstantinos Kalais, Sotirios Chatzis

This work addresses meta-learning (ML) by considering deep networks with stochastic local winner-takes-all (LWTA) activations. This type of network units results in sparse represen…