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  4. How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning?

How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning?

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sword-2023-03-24T17:41:12.original.xml (130 B)
Original SWORD entry document
Author(s)
Zhuang, Chengxu
•
Xiang, Violet
•
Bai, Yoon
•
Jia, Xiaoxuan
•
DiCarlo, James
•
Yamins, Daniel
Date Issued
2022
Journal
2022 Conference on Cognitive Computational Neuroscience
Publisher
Cognitive Computational Neuroscience
Citation
Zhuang, Chengxu, Xiang, Violet, Bai, Yoon, Jia, Xiaoxuan, DiCarlo, James et al. 2022. "How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning?." 2022 Conference on Cognitive Computational Neuroscience.
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Final published version
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution 3.0 unported license
https://creativecommons.org/licenses/by/3.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/148710
DOI of Published Version
https://doi.org/10.32470/CCN.2022.1155-0
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