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Adjoined Networks: A Training Paradigm with Applications to Network
  Compression

Adjoined Networks: A Training Paradigm with Applications to Network Compression

10 June 2020
Utkarsh Nath
Shrinu Kushagra
Yingzhen Yang
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Papers citing "Adjoined Networks: A Training Paradigm with Applications to Network Compression"

4 / 4 papers shown
Title
Distilling Knowledge via Knowledge Review
Distilling Knowledge via Knowledge Review
Pengguang Chen
Shu Liu
Hengshuang Zhao
Jiaya Jia
155
423
0
19 Apr 2021
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
139
189
0
19 Mar 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yuxin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
76
241
0
23 Jan 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
1