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Group Sparse Regularization for Deep Neural Networks

Group Sparse Regularization for Deep Neural Networks

2 July 2016
Simone Scardapane
Danilo Comminiello
Amir Hussain
A. Uncini
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Papers citing "Group Sparse Regularization for Deep Neural Networks"

14 / 64 papers shown
Title
Improving performance of deep learning models with axiomatic attribution
  priors and expected gradients
Improving performance of deep learning models with axiomatic attribution priors and expected gradients
G. Erion
Joseph D. Janizek
Pascal Sturmfels
Scott M. Lundberg
Su-In Lee
OOD
BDL
FAtt
21
80
0
25 Jun 2019
Regularizing by the Variance of the Activations' Sample-Variances
Regularizing by the Variance of the Activations' Sample-Variances
Etai Littwin
Lior Wolf
VLM
23
12
0
21 Nov 2018
Gradient-Coherent Strong Regularization for Deep Neural Networks
Gradient-Coherent Strong Regularization for Deep Neural Networks
Dae Hoon Park
C. Ho
Yi Chang
Huaqing Zhang
ODL
21
1
0
20 Nov 2018
Compact Personalized Models for Neural Machine Translation
Compact Personalized Models for Neural Machine Translation
Joern Wuebker
A. Paz
N. Ravid
VLM
11
56
0
05 Nov 2018
An ETF view of Dropout regularization
An ETF view of Dropout regularization
Dor Bank
Raja Giryes
8
4
0
14 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley
Jack Turner
Amos Storkey
Michael F. P. O'Boyle
3DPC
29
31
0
10 Oct 2018
Structured Variational Learning of Bayesian Neural Networks with
  Horseshoe Priors
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
S. Ghosh
Jiayu Yao
Finale Doshi-Velez
BDL
UQCV
17
77
0
13 Jun 2018
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
30
71
0
23 Nov 2017
Sparse-Input Neural Networks for High-dimensional Nonparametric
  Regression and Classification
Sparse-Input Neural Networks for High-dimensional Nonparametric Regression and Classification
Jean Feng
N. Simon
24
99
0
21 Nov 2017
Stochastic Training of Neural Networks via Successive Convex
  Approximations
Stochastic Training of Neural Networks via Successive Convex Approximations
Simone Scardapane
P. Di Lorenzo
24
9
0
15 Jun 2017
Model Selection in Bayesian Neural Networks via Horseshoe Priors
Model Selection in Bayesian Neural Networks via Horseshoe Priors
S. Ghosh
Finale Doshi-Velez
BDL
29
119
0
29 May 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
23
479
0
24 May 2017
Automatic Node Selection for Deep Neural Networks using Group Lasso
  Regularization
Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization
Tsubasa Ochiai
Shigeki Matsuda
Hideyuki Watanabe
S. Katagiri
8
22
0
17 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network
  Normalization Schemes
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
Mengye Ren
Renjie Liao
R. Urtasun
Fabian H. Sinz
R. Zemel
35
81
0
14 Nov 2016
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