Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

1 October 2015

Song Han

Papers citing "Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding"

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Title
Distribution-Aware Binarization of Neural Networks for Sketch Recognition Ameya Prabhu Vishal Batchu Sri Aurobindo Munagala Rohit Gajawada A. Namboodiri MQ 11 5 0 09 Apr 2018
Universal and Succinct Source Coding of Deep Neural Networks Sourya Basu L. Varshney BDL 9 3 0 09 Apr 2018
Estimating Depth from RGB and Sparse Sensing Zhao Chen Vijay Badrinarayanan Gilad Drozdov Andrew Rabinovich MDE 3DV 14 109 0 08 Apr 2018
The Loss Surface of XOR Artificial Neural Networks D. Mehta Xiaojun Zhao Edgar A. Bernal D. Wales 24 19 0 06 Apr 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization K. Choromanski Mark Rowland Vikas Sindhwani Richard E. Turner Adrian Weller 11 147 0 06 Apr 2018
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition Zhiyuan Li Nanjun Teng Min Jin Huaxiang Lu 13 51 0 04 Apr 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models B. Rouhani Huili Chen F. Koushanfar 26 48 0 02 Apr 2018
Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs Caiwen Ding Ao Ren Geng Yuan Xiaolong Ma Jiayu Li Ning Liu Bo Yuan Yanzhi Wang 12 23 0 28 Mar 2018
Adversarial Network Compression Vasileios Belagiannis Azade Farshad Fabio Galasso GAN AAML 6 58 0 28 Mar 2018
FPGA Implementations of 3D-SIMD Processor Architecture for Deep Neural Networks Using Relative Indexed Compressed Sparse Filter Encoding Format and Stacked Filters Stationary Flow Yuechao Gao Nianhong Liu Shenmin Zhang 9 1 0 28 Mar 2018
Incremental Training of Deep Convolutional Neural Networks R. Istrate A. Malossi C. Bekas Dimitrios S. Nikolopoulos CLL 20 21 0 27 Mar 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions Zheng Qin Zhaoning Zhang Dongsheng Li Yiming Zhang Yuxing Peng 12 28 0 27 Mar 2018
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs Chuanhao Zhuge Xinheng Liu Xiaofan Zhang S. Gummadi Jinjun Xiong Deming Chen CVBM 12 35 0 23 Mar 2018
Iterative Low-Rank Approximation for CNN Compression Maksym Kholiavchenko 14 9 0 23 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design A. Gholami K. Kwon Bichen Wu Zizheng Tai Xiangyu Yue Peter H. Jin Sicheng Zhao Kurt Keutzer 14 295 0 23 Mar 2018
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network Namhyuk Ahn Byungkon Kang Kyung-ah Sohn SupR 39 1,104 0 23 Mar 2018
Design Principles for Sparse Matrix Multiplication on the GPU Carl Yang A. Buluç John Douglas Owens 11 106 0 22 Mar 2018
Task dependent Deep LDA pruning of neural networks Qing Tian Tal Arbel James J. Clark 14 0 0 21 Mar 2018
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs Zhe Li Shuo Wang Caiwen Ding Qinru Qiu Yanzhi Wang Yun Liang GNN 11 21 0 20 Mar 2018
Local Binary Pattern Networks Jeng-Hau Lin Yunfan Yang Rajesh K. Gupta Z. Tu MQ 11 13 0 19 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation Sachin Mehta Mohammad Rastegari A. Caspi Linda G. Shapiro Hannaneh Hajishirzi SSeg 40 777 0 19 Mar 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision Sathya Ravi Tuan Dinh Vishnu Suresh Lokhande Vikas Singh AI4CE 13 22 0 17 Mar 2018
EVA $^2$ : Exploiting Temporal Redundancy in Live Computer Vision Mark Buckler Philip Bedoukian Suren Jayasuriya Adrian Sampson 33 75 0 16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 23 80 0 16 Mar 2018
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning Maurice Yang Mahmoud Faraj Assem Hussein V. Gaudet CVBM 14 12 0 15 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions Stylianos I. Venieris Alexandros Kouris C. Bouganis 6 184 0 15 Mar 2018
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression Dong Wang Lei Zhou Xueni Zhang Xiao Bai Jun Zhou 11 47 0 15 Mar 2018
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs Shuo Wang Zhe Li Caiwen Ding Bo Yuan Yanzhi Wang Qinru Qiu Yun Liang 15 192 0 14 Mar 2018
LCANet: End-to-End Lipreading with Cascaded Attention-CTC Kai Xu Dawei Li N. Cassimatis Xiaolong Wang 17 96 0 13 Mar 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation Xiaowei Xu Q. Lu Yu Hu Lin Yang X. S. Hu D. Z. Chen Yiyu Shi MedIm 21 85 0 13 Mar 2018
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees Konstantinos Pitas Mike Davies P. Vandergheynst 11 2 0 12 Mar 2018
ShuffleSeg: Real-time Semantic Segmentation Network M. Gamal Mennatullah Siam Moemen Abdel-Razek SSeg 19 59 0 10 Mar 2018
Bit-Tactical: Exploiting Ineffectual Computations in Convolutional Neural Networks: Which, Why, and How A. Delmas Patrick Judd Dylan Malone Stuart Zissis Poulos Mostafa Mahmoud Sayeh Sharify Milos Nikolic Andreas Moshovos 16 24 0 09 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 18 3,384 0 09 Mar 2018
High-Accuracy Low-Precision Training Christopher De Sa Megan Leszczynski Jian Zhang Alana Marzoev Christopher R. Aberger K. Olukotun Christopher Ré 21 109 0 09 Mar 2018
Exponential Discriminative Metric Embedding in Deep Learning Bowen Wu Zhangling Chen J. Wang Hua-Ming Wu 27 10 0 07 Mar 2018
Learning SMaLL Predictors Vikas K. Garg O. Dekel Lin Xiao 6 3 0 06 Mar 2018
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning Huan Yang Baoyuan Wang Noranart Vesdapunt M. Guo S. B. Kang 16 22 0 06 Mar 2018
Deep Neural Network Compression with Single and Multiple Level Quantization Yuhui Xu Yongzhuang Wang Aojun Zhou Weiyao Lin H. Xiong MQ 20 114 0 06 Mar 2018
Stochastic Activation Pruning for Robust Adversarial Defense Guneet Singh Dhillon Kamyar Azizzadenesheli Zachary Chase Lipton Jeremy Bernstein Jean Kossaifi Aran Khanna Anima Anandkumar AAML 10 545 0 05 Mar 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks Qianxiao Li Shuji Hao 11 75 0 04 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 873 0 03 Mar 2018
Scalar Quantization as Sparse Least Square Optimization Chen Wang Xiaomei Yang Shaomin Fei Kai Zhou Xiaofeng Gong Miao Du Ruisen Luo MQ 18 3 0 01 Mar 2018
Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning Yichi Zhang Zhijian Ou 17 0 0 01 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 22 178 0 28 Feb 2018
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs Xuhao Chen 11 25 0 28 Feb 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding Dong Liu Ke Sun Zhangyang Wang Runsheng Liu Zhengjun Zha 20 12 0 28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos Bowen Pan Wuwei Lin Xiaolin Fang Chaoqin Huang Bolei Zhou Cewu Lu ObjD 20 33 0 27 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 27 701 0 26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng-Long Jiang Yiyu Shi 30 4 0 26 Feb 2018