Delta networks for optimized recurrent network computation
dc.contributor.author
Neil, Daniel
dc.contributor.author
Lee, Jun H.
dc.contributor.author
Delbruck, Tobi
dc.contributor.author
Liu, Shih-Chii
dc.date.accessioned
2018-06-22T09:44:19Z
dc.date.available
2018-01-25T09:16:52Z
dc.date.available
2018-06-22T09:44:19Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/234191
dc.language.iso
en
en_US
dc.publisher
s.n.
en_US
dc.title
Delta networks for optimized recurrent network computation
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the 2017 International Conference on Machine Learning (ICML)
en_US
ethz.journal.volume
70
en_US
ethz.pages.start
2584
en_US
ethz.pages.end
2593
en_US
ethz.event
34th International Conference on Machine Learning (ICML 2017)
en_US
ethz.event.location
Sydney, Australia
en_US
ethz.event.date
August 6-11, 2017
en_US
ethz.publication.place
s.l.
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics
en_US
ethz.identifier.url
http://proceedings.mlr.press/v70/
ethz.date.deposited
2018-01-25T09:16:53Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-06-22T09:44:21Z
ethz.rosetta.lastUpdated
2018-06-22T09:44:21Z
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true
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Conference Paper [34962]