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pro vyhledávání: '"Cook, Jeffrey J."'
For computer vision applications, prior works have shown the efficacy of reducing numeric precision of model parameters (network weights) in deep neural networks. Activation maps, however, occupy a large memory footprint during both the training and
Externí odkaz:
http://arxiv.org/abs/1709.01134
For computer vision applications, prior works have shown the efficacy of reducing the numeric precision of model parameters (network weights) in deep neural networks but also that reducing the precision of activations hurts model accuracy much more t
Externí odkaz:
http://arxiv.org/abs/1704.03079
Autor:
O'Shaughnessy, Eric, Dong, Shiyuan, Cook, Jeffrey J., Cruce, Jesse, Ardani, Kristen, Fekete, Emily, Margolis, Robert
Publikováno v:
In Energy Policy February 2022 161
Publikováno v:
In Energy Policy September 2021 156
Publikováno v:
In Solar Energy 15 January 2021 214:62-71
Autor:
COOK, JEFFREY J.
Publikováno v:
Public Administration Quarterly, 2018 Dec 01. 42(4), 466-492.
Externí odkaz:
https://www.jstor.org/stable/26892949
Autor:
COOK, JEFFREY J.
Publikováno v:
Public Management (00333611). Jul2021, Vol. 103 Issue 7, p2-7. 6p.
Autor:
Cook, Jeffrey J.1
Publikováno v:
Review of Policy Research. May2019, Vol. 36 Issue 3, p378-394. 17p. 2 Graphs.
Autor:
Cook, Jeffrey J.1 jeffcook@colostate.edu
Publikováno v:
Environmental Policy & Governance. May/Jun2018, Vol. 28 Issue 3, p183-191. 9p.
Publikováno v:
In Microprocessors and Microsystems 2007 31(2):146-159