Task Aligned Generative Meta-learning for Zero-shot Learning

Liu, Z Li, Y Yao, L Wang, X

Long, G

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Publication Type:: Conference Proceeding
Citation:: Procedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Issue Date:: 2021-02-20

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	Filename	Description	Size
	AAAI 2021 - proof of review.pdf	Supporting information	253.65 kB	Adobe PDF	View/Open
	AAAI 2021 - Accepted manuscript.pdf	Accepted version	4.31 MB	Adobe PDF	View/Open

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Full metadata record

Field	Value	Language
dc.contributor.author	Liu, Z
dc.contributor.author	Li, Y
dc.contributor.author	Yao, L
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Long, G
dc.date	2021-02-02
dc.date.accessioned	2020-12-09T23:35:50Z
dc.date.available	2020-12-02
dc.date.available	2020-12-09T23:35:50Z
dc.date.issued	2021-02-20
dc.identifier.citation	Procedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
dc.identifier.uri	http://hdl.handle.net/10453/144605
dc.language	en
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	Procedings of The Thirty-Fifth AAAI Conference on Artificial Intelligence
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Task Aligned Generative Meta-learning for Zero-shot Learning
dc.type	Conference Proceeding
utslib.location.activity	online
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2020-12-09T23:35:46Z
pubs.finish-date	2021-02-09
pubs.publication-status	Accepted
pubs.start-date	2021-02-02

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