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AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz
  Continuous Penalty in Deep Convolutional Neural Networks

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks

24 January 2019
J. Lyu
Shuai Zhang
Y. Qi
Jack Xin
ArXivPDFHTML

Papers citing "AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks"

3 / 3 papers shown
Title
Creating Sorted Grid Layouts with Gradient-based Optimization
Kai Uwe Barthel
Florian Barthel
Peter Eisert
Nico Hezel
Konstantin Schall
158
1
0
04 Mar 2025
Building Efficient Deep Neural Networks with Unitary Group Convolutions
Building Efficient Deep Neural Networks with Unitary Group Convolutions
Ritchie Zhao
Yuwei Hu
Jordan Dotzel
Christopher De Sa
Zhiru Zhang
48
28
0
19 Nov 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
130
4,957
0
30 Jul 2018
1