Brain-inspired replay for continual learning with artificial neural networks

One challenge that faces artificial intelligence is the inability of deep neural networks to continuously learn new information without catastrophically forgetting what has been learnt before. To solve this problem, here the authors propose a replay-based algorithm for deep learning without the need...

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Detalles Bibliográficos
Autores principales:	Gido M. van de Ven, Hava T. Siegelmann, Andreas S. Tolias
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8cfc2c14df744076b19bf66597cf0559
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spelling	oai:doaj.org-article:8cfc2c14df744076b19bf66597cf05592021-12-02T15:08:41ZBrain-inspired replay for continual learning with artificial neural networks10.1038/s41467-020-17866-22041-1723https://doaj.org/article/8cfc2c14df744076b19bf66597cf05592020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17866-2https://doaj.org/toc/2041-1723One challenge that faces artificial intelligence is the inability of deep neural networks to continuously learn new information without catastrophically forgetting what has been learnt before. To solve this problem, here the authors propose a replay-based algorithm for deep learning without the need to store data.Gido M. van de VenHava T. SiegelmannAndreas S. ToliasNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gido M. van de Ven Hava T. Siegelmann Andreas S. Tolias Brain-inspired replay for continual learning with artificial neural networks
description	One challenge that faces artificial intelligence is the inability of deep neural networks to continuously learn new information without catastrophically forgetting what has been learnt before. To solve this problem, here the authors propose a replay-based algorithm for deep learning without the need to store data.
format	article
author	Gido M. van de Ven Hava T. Siegelmann Andreas S. Tolias
author_facet	Gido M. van de Ven Hava T. Siegelmann Andreas S. Tolias
author_sort	Gido M. van de Ven
title	Brain-inspired replay for continual learning with artificial neural networks
title_short	Brain-inspired replay for continual learning with artificial neural networks
title_full	Brain-inspired replay for continual learning with artificial neural networks
title_fullStr	Brain-inspired replay for continual learning with artificial neural networks
title_full_unstemmed	Brain-inspired replay for continual learning with artificial neural networks
title_sort	brain-inspired replay for continual learning with artificial neural networks
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/8cfc2c14df744076b19bf66597cf0559
work_keys_str_mv	AT gidomvandeven braininspiredreplayforcontinuallearningwithartificialneuralnetworks AT havatsiegelmann braininspiredreplayforcontinuallearningwithartificialneuralnetworks AT andreasstolias braininspiredreplayforcontinuallearningwithartificialneuralnetworks
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Brain-inspired replay for continual learning with artificial neural networks

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