Prototypical contrastive learning of unsupervised representations

This paper presents Prototypical Contrastive Learning (PCL), an unsupervised representation learning method that bridges contrastive learning with clustering. PCL not only learns low-level features for the task of instance discrimination, but more importantly, it encodes semantic structures discover...

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Bibliographic Details
Main Authors: LI, Junnan, ZHOU, Pan, XIONG, Caiming, HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/8993
https://ink.library.smu.edu.sg/context/sis_research/article/9996/viewcontent/2021_ICLR_PCL.pdf
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Institution: Singapore Management University
Language: English
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