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
Deep Rewiring: Training very sparse deep networks G. Bellec David Kappel Wolfgang Maass Robert Legenstein BDL 29 275 0 14 Nov 2017
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation Moritz B. Milde Daniel Neil Alessandro Aimar T. Delbruck Giacomo Indiveri MQ 42 9 0 13 Nov 2017
Weightless: Lossy Weight Encoding For Deep Neural Network Compression Brandon Reagen Udit Gupta Bob Adolf Michael Mitzenmacher Alexander M. Rush Gu-Yeon Wei David Brooks 27 38 0 13 Nov 2017
CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution Haoyu Ren Mostafa El-Khamy Jungwon Lee SupR 33 27 0 11 Nov 2017
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations Ting Chen Martin Renqiang Min Yizhou Sun 19 10 0 08 Nov 2017
Revealing structure components of the retina by deep learning networks Qianyu Yan Zhaofei Yu Feng Chen Jian K. Liu FAtt 16 7 0 08 Nov 2017
Block-Sparse Recurrent Neural Networks Sharan Narang Eric Undersander G. Diamos 19 136 0 08 Nov 2017
Compression-aware Training of Deep Networks J. Álvarez Mathieu Salzmann 21 172 0 07 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 33 120 0 07 Nov 2017
Interpreting Convolutional Neural Networks Through Compression R. Abbasi-Asl Bin-Xia Yu FAtt 19 21 0 07 Nov 2017
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks Sanchari Sen Shubham Jain Swagath Venkataramani A. Raghunathan 24 30 0 07 Nov 2017
Characterizing Sparse Connectivity Patterns in Neural Networks Sourya Dey Kuan-Wen Huang Peter A. Beerel K. Chugg 24 11 0 06 Nov 2017
Neural Speed Reading via Skim-RNN Minjoon Seo Sewon Min Ali Farhadi Hannaneh Hajishirzi 42 79 0 06 Nov 2017
Accelerating Training of Deep Neural Networks via Sparse Edge Processing Sourya Dey Yinan Shao K. Chugg Peter A. Beerel 38 16 0 03 Nov 2017
ReBNet: Residual Binarized Neural Network M. Ghasemzadeh Mohammad Samragh F. Koushanfar MQ 30 4 0 03 Nov 2017
SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity Jingyang Zhu Jingbo Jiang Xizi Chen Chi-Ying Tsui 23 36 0 03 Nov 2017
Compressing Word Embeddings via Deep Compositional Code Learning Raphael Shu Hideki Nakayama 40 129 0 03 Nov 2017
Efficient Inferencing of Compressed Deep Neural Networks Dharma Teja Vooturi Saurabh Goyal Anamitra R. Choudhury Yogish Sabharwal Ashish Verma 24 6 0 01 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 39 232 0 01 Nov 2017
Tensorizing Generative Adversarial Nets Xingwei Cao Xuyang Zhao Qibin Zhao GAN 25 9 0 30 Oct 2017
Knowledge Projection for Deep Neural Networks Zhi Zhang G. Ning Zhihai He 38 15 0 26 Oct 2017
Trace norm regularization and faster inference for embedded speech recognition RNNs Markus Kliegl Siddharth Goyal Kexin Zhao Kavya Srinet Mohammad Shoeybi 40 8 0 25 Oct 2017
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
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 21 88 0 21 Oct 2017
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 25 270 0 19 Oct 2017
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization D. Loroch Norbert Wehn Franz-Josef Pfreundt J. Keuper MQ 33 23 0 13 Oct 2017
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition Nitin Rathi Priyadarshini Panda Kaushik Roy 27 112 0 12 Oct 2017
Energy-efficient Amortized Inference with Cascaded Deep Classifiers Jiaqi Guan Yang Liu Qiang Liu Jian-wei Peng 22 33 0 10 Oct 2017
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial Mingzhe Chen Ursula Challita Walid Saad Changchuan Yin Mérouane Debbah 25 208 0 09 Oct 2017
Keynote: Small Neural Nets Are Beautiful: Enabling Embedded Systems with Small Deep-Neural-Network Architectures F. Iandola Kurt Keutzer 31 37 0 07 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 60 1,253 0 05 Oct 2017
Improving Efficiency in Convolutional Neural Network with Multilinear Filters D. Tran Alexandros Iosifidis Moncef Gabbouj 18 40 0 28 Sep 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 24 26 0 27 Sep 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 36 505 0 22 Sep 2017
Computation Error Analysis of Block Floating Point Arithmetic Oriented Convolution Neural Network Accelerator Design Zhourui Song Zhenyu Liu Dongsheng Wang 31 41 0 22 Sep 2017
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration Huan Wang Qiming Zhang Yuehai Wang Roland Hu 35 11 0 20 Sep 2017
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks Julian Faraone Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong MQ UQCV 29 12 0 19 Sep 2017
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning A. Ashok Nicholas Rhinehart Fares N. Beainy Kris Kitani 26 170 0 18 Sep 2017
Recursive Binary Neural Network Learning Model with 2.28b/Weight Storage Requirement Tianchan Guan Xiaoyang Zeng Mingoo Seok MQ 24 6 0 15 Sep 2017
A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications Yuan Du Li Du Yilei Li Junjie Su Mau-Chung Frank Chang 25 6 0 15 Sep 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 35 140 0 15 Sep 2017
Supervising Unsupervised Learning Vikas K. Garg Adam Kalai SSL FedML 26 29 0 14 Sep 2017
Binary-decomposed DCNN for accelerating computation and compressing model without retraining Ryuji Kamiya Takayoshi Yamashita Mitsuru Ambai Ikuro Sato Yuji Yamauchi H. Fujiyoshi MQ 17 4 0 14 Sep 2017
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 36 10 0 13 Sep 2017
Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification Chong-Jun Wang Xipeng Lan Yang Zhang CVBM 17 26 0 09 Sep 2017
Real-time convolutional networks for sonar image classification in low-power embedded systems Matias Valdenegro-Toro 31 10 0 07 Sep 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis A. Chung M. Shafiee Paul Fieguth A. Wong 32 4 0 07 Sep 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks Surat Teerapittayanon Bradley McDanel H. T. Kung UQCV 33 1,118 0 06 Sep 2017
Domain-adaptive deep network compression Marc Masana Joost van de Weijer Luis Herranz Andrew D. Bagdanov J. Álvarez 44 62 0 04 Sep 2017
Fast Image Processing with Fully-Convolutional Networks Qifeng Chen Jia Xu V. Koltun 17 322 0 02 Sep 2017