Bayesian Compression for Deep Learning

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Bayesian Compression for Deep Learning

24 May 2017

Christos Louizos

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Papers citing "Bayesian Compression for Deep Learning"

19 / 269 papers shown

Title
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees Konstantinos Pitas Mike Davies P. Vandergheynst 25 2 0 12 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 430 3,497 0 09 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 70 182 0 28 Feb 2018
The Description Length of Deep Learning Models Léonard Blier Yann Ollivier 121 98 0 20 Feb 2018
Interpretable VAEs for nonlinear group factor analysis Samuel K. Ainsworth N. Foti Adrian K. C. Lee E. Fox OOD DRL 149 19 0 17 Feb 2018
Neural Granger Causality Alex Tank Ian Covert N. Foti Ali Shojaie E. Fox CML 160 100 0 16 Feb 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 157 88 0 07 Feb 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 115 649 0 21 Jan 2018
Overpruning in Variational Bayesian Neural Networks Brian L. Trippe Richard Turner BDL 71 53 0 18 Jan 2018
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks M. Shafiee Brendan Chwyl Francis Li Rongyan Chen Michelle Karg C. Scharfenberger A. Wong 20 7 0 16 Jan 2018
Learning Sparse Neural Networks through $L_0$ Regularization Christos Louizos Max Welling Diederik P. Kingma 563 1,150 0 04 Dec 2017
An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery Alex Tank Ian Cover N. Foti Ali Shojaie E. Fox CML 56 24 0 22 Nov 2017
Improved Bayesian Compression Marco Federici Karen Ullrich Max Welling UQCV BDL 79 19 0 17 Nov 2017
Variational Gaussian Dropout is not Bayesian Jiri Hron A. G. Matthews Zoubin Ghahramani 71 47 0 08 Nov 2017
Toward predictive machine learning for active vision Emmanuel Daucé 30 3 0 28 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 92 88 0 21 Oct 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory W. Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen H. Li MQ 145 142 0 15 Sep 2017
Bayesian Sparsification of Recurrent Neural Networks E. Lobacheva Nadezhda Chirkova Dmitry Vetrov UQCV BDL 55 16 0 31 Jul 2017
Model Selection in Bayesian Neural Networks via Horseshoe Priors S. Ghosh Finale Doshi-Velez BDL 88 120 0 29 May 2017