Self-Supervised Learning: Generative or Contrastive

Deep supervised learning has achieved great success in the last decade. However, its defects of heavy dependence on manual labels and vulnerability to attacks have driven people to find other paradigms. As an alternative, self-supervised learning (SSL) attracts many researchers for its soaring perfo...

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Bibliographic Details

Published in:	IEEE transactions on knowledge and data engineering Vol. 35; no. 1; pp. 857 - 876
Main Authors:	Liu, Xiao, Zhang, Fanjin, Hou, Zhenyu, Mian, Li, Wang, Zhaoyu, Zhang, Jing, Tang, Jie
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Computational modeling Computer architecture Computer vision Context modeling contrastive learning Data models deep learning Empirical analysis generative model Natural language processing Predictive models Representations Self-supervised learning Supervised learning Task analysis
ISSN:	1041-4347, 1558-2191
Online Access:	Get full text
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