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Learning recurrent mechanisms which operate independently, and sparingly interact can lead to better generalization to out of distribution samples.

Recurrent Independent Mechanisms

ICLR, (2021)

Cited by: 49|Views564
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Abstract

Learning modular structures which reflect the dynamics of the environment can lead to better generalization and robustness to changes which only affect a few of the underlying causes. We propose Recurrent Independent Mechanisms (RIMs), a new recurrent architecture in which multiple groups of recurrent cells operate with nearly independe...More
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