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Make $\ell_1$ Regularization Effective in Training Sparse CNN

Make ℓ1\ell_1ℓ1​ Regularization Effective in Training Sparse CNN

11 July 2018
Juncai He
Xiaodong Jia
Jinchao Xu
Lian Zhang
Liang Zhao
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Papers citing "Make $\ell_1$ Regularization Effective in Training Sparse CNN"

4 / 4 papers shown
Title
An Interpretive Constrained Linear Model for ResNet and MgNet
An Interpretive Constrained Linear Model for ResNet and MgNet
Juncai He
Jinchao Xu
Lian Zhang
Jianqing Zhu
11
18
0
14 Dec 2021
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed
  Number of Neurons
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons
Zuowei Shen
Haizhao Yang
Shijun Zhang
56
36
0
06 Jul 2021
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
103
115
0
28 Feb 2021
Training Sparse Neural Networks using Compressed Sensing
Training Sparse Neural Networks using Compressed Sensing
Jonathan W. Siegel
Jianhong Chen
Pengchuan Zhang
Jinchao Xu
26
5
0
21 Aug 2020
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