A Survey on Deep Semi-Supervised Learning

Deep semi-supervised learning is a fast-growing field with a range of practical applications. This paper provides a comprehensive survey on both fundamentals and recent advances in deep semi-supervised learning methods from perspectives of model design and unsupervised loss functions. We first prese...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 35; H. 9; S. 8934 - 8954
Hauptverfasser:	Yang, Xiangli, Song, Zixing, King, Irwin, Xu, Zenglin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Data models Deep learning Deep semi-supervised learning Regularization Semi-supervised learning Semisupervised learning Supervised learning Task analysis Taxonomy Training
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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