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
Continual One-Shot Learning of Hidden Spike-Patterns with Neural Network Simulation Expansion and STDP Convergence Predictions Toby Lightheart S. Grainger Tien-Fu Lu 8 0 0 30 Aug 2017
Performance Guaranteed Network Acceleration via High-Order Residual Quantization Zefan Li Bingbing Ni Wenjun Zhang Xiaokang Yang Wen Gao MQ 32 107 0 29 Aug 2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices Caiwen Ding Siyu Liao Yanzhi Wang Zhe Li Ning Liu ... Yipeng Zhang Jian Tang Qinru Qiu Xinyu Lin Bo Yuan GNN 32 259 0 29 Aug 2017
Deep Learning Sparse Ternary Projections for Compressed Sensing of Images Duc Minh Nguyen Evaggelia Tsiligianni Nikos Deligiannis 13 26 0 28 Aug 2017
The Convergence of Machine Learning and Communications Wojciech Samek S. Stańczak Thomas Wiegand AI4CE 32 29 0 28 Aug 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 70 2,391 0 22 Aug 2017
Neural Networks Compression for Language Modeling Artem M. Grachev D. Ignatov Andrey V. Savchenko 22 30 0 20 Aug 2017
Deep Neural Network Capacity Aosen Wang Huan Zhou Wenyao Xu Xin Chen 13 4 0 16 Aug 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 38 10 0 16 Aug 2017
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices Dawei Li Xiaolong Wang Deguang Kong 31 97 0 16 Aug 2017
Enabling Massive Deep Neural Networks with the GraphBLAS J. Kepner Manoj Kumar José Moreira P. Pattnaik M. Serrano H. Tufo GNN 22 33 0 09 Aug 2017
Prune the Convolutional Neural Networks with Sparse Shrink Xuzhao Li Changsong Liu CVBM 11 4 0 08 Aug 2017
Natural Language Processing with Small Feed-Forward Networks Jan A. Botha Emily Pitler Ji Ma A. Bakalov Alexandru Salcianu David J. Weiss Ryan T. McDonald Slav Petrov HAI 30 38 0 01 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 45 35 0 31 Jul 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization Frederick Tung S. Muralidharan Greg Mori 35 35 0 28 Jul 2017
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks Nikolaos Passalis Anastasios Tefas 20 70 0 25 Jul 2017
Towards Evolutional Compression Yunhe Wang Chang Xu Jiayan Qiu Chao Xu Dacheng Tao 22 14 0 25 Jul 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM Cong Leng Hao Li Shenghuo Zhu Rong Jin MQ 38 286 0 24 Jul 2017
Neuron Pruning for Compressing Deep Networks using Maxout Architectures Fernando Moya Rueda René Grzeszick G. Fink CVBM 22 17 0 21 Jul 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 19 1,746 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 128 2,508 0 19 Jul 2017
Pruning Convolutional Neural Networks for Image Instance Retrieval Gaurav Manek Jie Lin V. Chandrasekhar Ling-Yu Duan Sateesh Giduthuri Xiaoli Li T. Poggio 30 2 0 18 Jul 2017
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network Jin Yamanaka S. Kuwashima Takio Kurita SupR 33 213 0 18 Jul 2017
Ternary Residual Networks Abhisek Kundu K. Banerjee Naveen Mellempudi Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey 34 8 0 15 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 36 81 0 10 Jul 2017
An Embedded Deep Learning based Word Prediction Seunghak Yu Nilesh Kulkarni Haejun Lee J. Kim 42 0 0 06 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part I: general framework Miguel Á. Carreira-Perpiñán MQ 20 32 0 05 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 81 6,792 0 04 Jul 2017
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations Yoonho Boo Wonyong Sung MQ 30 11 0 01 Jul 2017
Irregular Convolutional Neural Networks Jiabin Ma Wei Wang Liang Wang 39 12 0 24 Jun 2017
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks Shuchang Zhou Yuzhi Wang He Wen Qinyao He Yuheng Zou MQ 30 110 0 22 Jun 2017
MEC: Memory-efficient Convolution for Deep Neural Network Minsik Cho D. Brand 24 86 0 21 Jun 2017
Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer Nicolás Cruz Kenzo Lobos-Tsunekawa Javier Ruiz-del-Solar 27 35 0 20 Jun 2017
An Entropy-based Pruning Method for CNN Compression Jian-Hao Luo Jianxin Wu 19 180 0 19 Jun 2017
Sobolev Training for Neural Networks Wojciech M. Czarnecki Simon Osindero Max Jaderberg G. Swirszcz Razvan Pascanu 21 242 0 15 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation Abhishek Chaurasia Eugenio Culurciello SSeg 18 1,367 0 14 Jun 2017
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks Joan Serrà Alexandros Karatzoglou 33 52 0 13 Jun 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 30 12 0 13 Jun 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks Denis A. Gudovskiy Luca Rigazio MQ 27 52 0 07 Jun 2017
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework Shuochao Yao Yiran Zhao Aston Zhang Lu Su Tarek Abdelzaher 31 183 0 05 Jun 2017
IDK Cascades: Fast Deep Learning by Learning not to Overthink Xin Wang Yujia Luo D. Crankshaw Alexey Tumanov Fisher Yu Joseph E. Gonzalez 35 107 0 03 Jun 2017
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU Qingqing Cao Niranjan Balasubramanian A. Balasubramanian 26 61 0 03 Jun 2017
Tensor Contraction Layers for Parsimonious Deep Nets Jean Kossaifi Aran Khanna Zachary Chase Lipton Tommaso Furlanello Anima Anandkumar 37 60 0 01 Jun 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 77 1,640 0 01 Jun 2017
Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks Tom Véniat Ludovic Denoyer 35 21 0 31 May 2017
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal Chih-Ting Liu Yi-Heng Wu Yu-Sheng Lin Shao-Yi Chien SupR 19 5 0 30 May 2017
Iterative Machine Teaching Weiyang Liu Bo Dai Ahmad Humayun C. Tay Chen Yu Linda B. Smith James M. Rehg Le Song 34 141 0 30 May 2017
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework Lei Deng Peng Jiao Jing Pei Zhenzhi Wu Guoqi Li MQ 34 20 0 25 May 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks Huizi Mao Song Han Jeff Pool Wenshuo Li Xingyu Liu Yu Wang W. Dally 27 241 0 24 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017