How Well Do Contrastive Learning Algorithms Model Human Real-time and Life-long Learning?
Name
0000642.pdf
Description
Published version
Size
465.84 KB
Format
Adobe PDF
Checksum (MD5)
f5b96574fe127115227cf28d20439072
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.
Version
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
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.32470/CCN.2022.1155-0