MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING
Master's
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Format: | Theses and Dissertations |
Language: | English |
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2024
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/247967 |
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sg-nus-scholar.10635-2479672024-04-17T18:00:19Z MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING ZHANG JIHAI COMPUTER SCIENCE Kuen-Yew Bryan Hooi machine learning; self-supervised learning; contrastive learning; multimodal learning; feature suppression; representation learning Master's MASTER OF SCIENCE (RSH-SOC) 2024-04-17T18:00:18Z 2024-04-17T18:00:18Z 2024-01-09 Thesis ZHANG JIHAI (2024-01-09). MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/247967 0000-0002-1400-9116 en |
institution |
National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
machine learning; self-supervised learning; contrastive learning; multimodal learning; feature suppression; representation learning |
spellingShingle |
machine learning; self-supervised learning; contrastive learning; multimodal learning; feature suppression; representation learning ZHANG JIHAI MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING |
description |
Master's |
author2 |
COMPUTER SCIENCE |
author_facet |
COMPUTER SCIENCE ZHANG JIHAI |
format |
Theses and Dissertations |
author |
ZHANG JIHAI |
author_sort |
ZHANG JIHAI |
title |
MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING |
title_short |
MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING |
title_full |
MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING |
title_fullStr |
MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING |
title_full_unstemmed |
MITIGATING FEATURE SUPPRESSION IN CONTRASTIVE LEARNING |
title_sort |
mitigating feature suppression in contrastive learning |
publishDate |
2024 |
url |
https://scholarbank.nus.edu.sg/handle/10635/247967 |
_version_ |
1800916035839197184 |