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Article

Abstract representations emerge naturally in neural networks trained to perform multiple tasks

2021-10-21

Abstract excerpt

Humans and other animals demonstrate a remarkable ability to generalize knowledge across distinct contexts and objects during natural behavior. We posit that this ability to generalize arises from a specific representational geometry, that we call abstract and that is referred to as disentangled in machine learning. These abstract representations have been observed in recent neurophysiological studies. However, it...

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Identifiers and source

Literature Corpus work
fe35ce61-2115-5b5e-93eb-b75b31dd31c6
DOI
10.1101/2021.10.20.465187
Open publication

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Abstract representations emerge naturally in neural networks trained to perform multiple tasksDOI 10.1101/2021.10.20.465187
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