Shallow RNN: accurate time-series classification on resource constrained devices

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dc.contributor.author Dennis, Don
dc.contributor.author Acar, D.A.E.
dc.contributor.author Mandikal, Vikram
dc.contributor.author Sadasivan, V.S.
dc.contributor.author Saligrama, Venkatesh
dc.contributor.author Simhadri, H.V.
dc.contributor.author Jain, Prateek
dc.contributor.other 33rd Annual Conference on Neural Information Processing Systems (NeuRIPS 2019)
dc.coverage.spatial Vancouver, CA
dc.date.accessioned 2019-09-12T10:10:09Z
dc.date.available 2019-09-12T10:10:09Z
dc.date.issued 2019-12-08
dc.identifier.citation Dennis, Don; Acar, D.A.E.; Mandika, Vikram; Sadasivan, V.S.; Saligrama, Venkatesh; Simhadri, H.V. and Jain, Prateek, �Shallow RNN: accurate time-series classification on resource constrained devices�, in 33rd Annual Conference on Neural Information Processing Systems (NeuRIPS 2019), Vancouver, CA, Dec. 8-14, 2019. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4821
dc.description.statementofresponsibility by Don Dennis, D.A.E. Acar, Vikram Mandika, V.S. Sadasivan, Venkatesh Saligrama, H.V. Simhadri and Prateek Jain
dc.language.iso en_US en_US
dc.title Shallow RNN: accurate time-series classification on resource constrained devices en_US
dc.type Article en_US


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