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

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2022★ 2 cited

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…