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Automatic Node Selection for Deep Neural Networks using Group Lasso
  Regularization

Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization

17 November 2016
Tsubasa Ochiai
Shigeki Matsuda
Hideyuki Watanabe
S. Katagiri
ArXivPDFHTML

Papers citing "Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization"

4 / 4 papers shown
Title
Deep neural networks with dependent weights: Gaussian Process mixture
  limit, heavy tails, sparsity and compressibility
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoileong Lee
Fadhel Ayed
Paul Jung
Juho Lee
Hongseok Yang
François Caron
51
10
0
17 May 2022
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
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu
M. C. Hughes
S. Parbhoo
Maurizio Zazzi
Volker Roth
Finale Doshi-Velez
AI4CE
28
281
0
16 Nov 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
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