Biological underpinnings for lifelong learning machines
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Published:2022-03-23
Issue:3
Volume:4
Page:196-210
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ISSN:2522-5839
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Container-title:Nature Machine Intelligence
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language:en
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Short-container-title:Nat Mach Intell
Author:
Kudithipudi Dhireesha, Aguilar-Simon Mario, Babb Jonathan, Bazhenov Maxim, Blackiston DouglasORCID, Bongard JoshORCID, Brna Andrew P.ORCID, Chakravarthi Raja SurajORCID, Cheney Nick, Clune Jeff, Daram AnuragORCID, Fusi StefanoORCID, Helfer Peter, Kay Leslie, Ketz Nicholas, Kira ZsoltORCID, Kolouri Soheil, Krichmar Jeffrey L.ORCID, Kriegman SamORCID, Levin Michael, Madireddy Sandeep, Manicka Santosh, Marjaninejad AliORCID, McNaughton Bruce, Miikkulainen RistoORCID, Navratilova Zaneta, Pandit Tej, Parker Alice, Pilly Praveen K.ORCID, Risi Sebastian, Sejnowski Terrence J., Soltoggio Andrea, Soures Nicholas, Tolias Andreas S.ORCID, Urbina-Meléndez DaríoORCID, Valero-Cuevas Francisco J.ORCID, van de Ven Gido M.ORCID, Vogelstein Joshua T.ORCID, Wang Felix, Weiss RonORCID, Yanguas-Gil AngelORCID, Zou XinyunORCID, Siegelmann Hava
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software
Reference234 articles.
1. Kandel, E. R. & Hawkins, R. D. The biological basis of learning and individuality. Sci. Am. 267, 78–87 (1992). 2. Carlson, A. et al. Toward an architecture for never-ending language learning. In 24th AAAI Conf. on Artificial Intelligence (2010). 3. Mitchell, T. et al. Never-ending learning. Commun. ACM 61, 103–115 (2018). 4. Wen, Y., Tran, D. & Ba, J. Batchensemble: an alternative approach to efficient ensemble and lifelong learning. In Int. Conf. Learning Representations (2019). 5. Lopez-Paz, D. & Ranzato, M. Gradient episodic memory for continual learning. Adv. Neural Inf. Process. Syst. 30, 6467–6476 (2017).
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