Soft Weight-Sharing for Neural Network Compression

13 February 2017

Papers citing "Soft Weight-Sharing for Neural Network Compression"

32 / 82 papers shown

Title
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence I. Chakraborty Deboleena Roy Isha Garg Aayush Ankit Kaushik Roy 24 37 0 04 Jun 2019
Attention Based Pruning for Shift Networks G. B. Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio 41 25 0 29 May 2019
Bayesian Tensorized Neural Networks with Automatic Rank Selection Cole Hawkins Zheng-Wei Zhang BDL 25 52 0 24 May 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 33 745 0 25 Feb 2019
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge I. Chakraborty Deboleena Roy Aayush Ankit Kaushik Roy GNN MQ 30 13 0 01 Feb 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 19 139 0 15 Jan 2019
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 27 27 0 18 Dec 2018
Sparse DNNs with Improved Adversarial Robustness Yiwen Guo Chao Zhang Changshui Zhang Yurong Chen AAML 25 151 0 23 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen X. Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 2018
Rate Distortion For Model Compression: From Theory To Practice Weihao Gao Yu-Han Liu Chong-Jun Wang Sewoong Oh 30 31 0 09 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 60 1,176 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 36 131 0 03 Oct 2018
Probabilistic Binary Neural Networks Jorn W. T. Peters Max Welling BDL UQCV MQ 25 51 0 10 Sep 2018
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization Yibo Yang Nicholas Ruozzi Vibhav Gogate 21 2 0 14 Jun 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression Lazar Supic R. Naous Ranko Sredojevic Aleksandra Faust Vladimir M. Stojanović 19 4 0 30 May 2018
Compact and Computationally Efficient Representation of Deep Neural Networks Simon Wiedemann K. Müller Wojciech Samek MQ 39 66 0 27 May 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 54 332 0 25 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks Chaim Baskin Eli Schwartz Evgenii Zheltonozhskii Natan Liss Raja Giryes A. Bronstein A. Mendelson MQ 22 45 0 29 Apr 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 25 79 0 15 Apr 2018
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 30 88 0 24 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 26 178 0 28 Feb 2018
Bayesian Incremental Learning for Deep Neural Networks Max Kochurov T. Garipov D. Podoprikhin Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov OOD CLL BDL 15 22 0 20 Feb 2018
The Description Length of Deep Learning Models Léonard Blier Yann Ollivier 32 97 0 20 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets Fabian Schuiki Michael Schaffner Frank K. Gürkaynak Luca Benini 31 70 0 19 Feb 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 11 7 0 16 Jan 2018
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 38 10 0 16 Aug 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 25 37 0 13 Jul 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017
Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing Patrick Judd Alberto Delmas Lascorz Sayeh Sharify Andreas Moshovos 29 27 0 29 Apr 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 24 480 0 03 Apr 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 33 454 0 06 Mar 2017