2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning
ICML 2022oral
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 representations from each model layer, as the units are organized into blocks where only one unit generates a non-zero output. T…