Faster Meta Update Strategy for Noise-Robust Deep Learning

Xu, Y; Zhu, L; Jiang, L; Yang, Y

Faster Meta Update Strategy for Noise-Robust Deep Learning

Xu, Y Zhu, L

Jiang, L Yang, Y

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 00, pp. 144-153
Issue Date:: 2021-06-25

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Full metadata record

Field	Value	Language
dc.contributor.author	Xu, Y
dc.contributor.author	Zhu, L https://orcid.org/0000-0002-4093-7557
dc.contributor.author	Jiang, L
dc.contributor.author	Yang, Y
dc.date	2021-06-20
dc.date.accessioned	2022-02-05T10:49:12Z
dc.date.available	2022-02-05T10:49:12Z
dc.date.issued	2021-06-25
dc.identifier.citation	2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 00, pp. 144-153
dc.identifier.uri	http://hdl.handle.net/10453/154199
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
dc.relation.ispartof	2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
dc.relation.isbasedon	10.1109/cvpr46437.2021.00021
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Faster Meta Update Strategy for Noise-Robust Deep Learning
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-11-30T00:00:00+1000Z
dc.date.updated	2022-02-05T10:49:10Z
pubs.finish-date	2021-06-25
pubs.publication-status	Published
pubs.start-date	2021-06-20
pubs.volume	00

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http://hdl.handle.net/10453/154199