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

Author(s)
Zhuang, Chengxu; Xiang, Violet; Bai, Yoon; Jia, Xiaoxuan; DiCarlo, James; Yamins, Daniel; ... Show more Show less
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Creative Commons Attribution 3.0 unported license https://creativecommons.org/licenses/by/3.0/
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Date issued
2022
URI
https://hdl.handle.net/1721.1/148710
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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.
Version: Final published version

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