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dc.contributor.author
Neil, Daniel
dc.contributor.author
Pfeiffer, Michael
dc.contributor.author
Liu, Shih-Chii
dc.contributor.editor
Ossowski, Sascha
dc.date.accessioned
2017-06-12T19:12:42Z
dc.date.available
2017-06-12T19:12:42Z
dc.date.issued
2016
dc.identifier.isbn
978-1-4503-3739-7
dc.identifier.other
10.1145/2851613.2851724
dc.identifier.uri
http://hdl.handle.net/20.500.11850/127173
dc.language.iso
en
dc.publisher
ACM
dc.subject
Spiking deep neural networks
dc.subject
Spiking neural network latency
dc.subject
Neural network efficiency
dc.title
Learning to be Efficient: Algorithms for Training Low-Latency, Low-Compute Deep Spiking Neural Networks
dc.type
Conference Paper
ethz.book.title
Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC '16)
ethz.pages.start
293
ethz.pages.end
298
ethz.event
31st Annual ACM Symposium on Applied Computing, SAC '16
ethz.event.location
Pisa, Italy
ethz.event.date
April 4-8, 2016
ethz.notes
.
ethz.publication.place
New York, NY
ethz.publication.status
published
ethz.leitzahl
03453 - Douglas, Rodney J.
ethz.leitzahl.certified
03453 - Douglas, Rodney J.
ethz.date.deposited
2017-06-12T19:13:31Z
ethz.source
ECIT
ethz.identifier.importid
imp5936552b9f59f96000
ethz.ecitpid
pub:189993
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-15T06:54:56Z
ethz.rosetta.lastUpdated
2019-02-02T07:35:37Z
ethz.rosetta.versionExported
true
ethz.COinS
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