Rethinking multi-view representation learning via distilled disentangling
Multi-view representation learning aims to derive robust representations that are both view-consistent and view-specific from diverse data sources. This paper presents an in-depth analysis of existing approaches in this domain, highlighting a commonly overlooked aspect: the redundancy between view-c...
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Main Authors: | KE, Guanzhou, WANG, Bo, WANG, Xiaoli, HE, Shengfeng |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9777 https://ink.library.smu.edu.sg/context/sis_research/article/10777/viewcontent/2403.10897v2.pdf |
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Institution: | Singapore Management University |
Language: | English |
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