Bi-directional block self-attention for fast and memory-efficient sequence modeling

Shen, T Zhou, T Long, G

Jiang, J

Zhang, C

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Field	Value	Language
dc.contributor.author	Shen, T	en_US
dc.contributor.author	Zhou, T	en_US
dc.contributor.author	Long, G https://orcid.org/0000-0003-3740-9515	en_US
dc.contributor.author	Jiang, J https://orcid.org/0000-0001-5301-7779	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.date	2018-04-30	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	2018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130923
dc.relation	http://purl.org/au-research/grants/arc/LP160100630
dc.relation.ispartof	International Conference on Representation Learning	en_US
dc.title	Bi-directional block self-attention for fast and memory-efficient sequence modeling	en_US
dc.type	Conference Proceeding
utslib.location.activity	Vancouver CANADA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.finish-date	2018-05-03	en_US
pubs.start-date	2018-04-30	en_US

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