A REINFORCEd Variational Autoencoder Topic Model

Field	Value	Language
dc.contributor.author	Kumar, A
dc.contributor.author	Esmaili, N
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604
dc.date	2022-02-08
dc.date.accessioned	2022-02-05T22:38:33Z
dc.date.available	2022-02-05T22:38:33Z
dc.date.issued	2021-12-02
dc.identifier.citation	2021, 1516, pp. 360-369
dc.identifier.uri	http://hdl.handle.net/10453/154200
dc.language	en
dc.publisher	Springer
dc.relation	Food Agility CRC Limited
dc.relation.ispartof	International Conference on Neural Information Processing
dc.relation.ispartofseries	Communications in Computer and Information Science
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	A REINFORCEd Variational Autoencoder Topic Model
dc.type	Conference Proceeding
utslib.citation.volume	1516
utslib.location.activity	Bali, Indonesia
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 - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
utslib.copyright.embargo	2022-12-02T00:00:00+1000Z
dc.date.updated	2022-02-05T22:38:31Z
pubs.finish-date	2022-02-12
pubs.publication-status	Published
pubs.start-date	2022-02-08
pubs.volume	1516

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