Embracing Change: Continual Learning in Deep Neural Networks

Artificial intelligence research has seen enormous progress over the past few decades, but it predominantly relies on fixed datasets and stationary environments. Continual learning is an increasingly relevant area of study that asks how artificial systems might learn sequentially, as biological syst...

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Bibliographic Details
Published inTrends in cognitive sciences Vol. 24; no. 12; pp. 1028 - 1040
Main Authors Hadsell, Raia, Rao, Dushyant, Rusu, Andrei A., Pascanu, Razvan
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.12.2020
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