Max-Variance Convolutional Neural Network Model Compression

Boone Sifuentes, Tanya, Robles-Kelly, Antonio and Nazari, Asef 2020, Max-Variance Convolutional Neural Network Model Compression, in DICTA 2020 : Proceedings of the Digital Image Computing: Techniques and Applications Conference, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/DICTA51227.2020.9363347.

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Title Max-Variance Convolutional Neural Network Model Compression
Author(s) Boone Sifuentes, Tanya
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Nazari, AsefORCID iD for Nazari, Asef orcid.org/0000-0003-4955-9684
Conference name Digital Image Computing: Techniques and Applications. Conference (2020 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 30 Nov. - 02 Dec. 2020
Title of proceedings DICTA 2020 : Proceedings of the Digital Image Computing: Techniques and Applications Conference
Publication date 2020
Start page 1
End page 6
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Convolutional Neural Network Compression
network pruning
max-variance pruning
CORE2020 Australasian B
ISBN 9781728191089
Language eng
DOI 10.1109/DICTA51227.2020.9363347
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147538

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