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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
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization S. Kwon Dongsoo Lee Byeongwook Kim Parichay Kapoor Baeseong Park Gu-Yeon Wei MQ 74 51 0 24 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 142 1,453 0 24 May 2019
Zero-shot Knowledge Transfer via Adversarial Belief Matching P. Micaelli Amos Storkey 82 230 0 23 May 2019
Network Pruning via Transformable Architecture Search Xuanyi Dong Yi Yang 3DPC 100 243 0 23 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao 73 10 0 23 May 2019
Revisiting hard thresholding for DNN pruning Konstantinos Pitas Mike Davies P. Vandergheynst AAML 52 2 0 21 May 2019
DARC: Differentiable ARchitecture Compression Shashank Singh A. Khetan Zohar Karnin AI4CE 53 7 0 20 May 2019
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems Sangkyun Lee Jeonghyun Lee 28 5 0 20 May 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 134 868 0 17 May 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek MQ 76 21 0 15 May 2019
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis Chaoqi Wang Roger C. Grosse Sanja Fidler Guodong Zhang 82 124 0 15 May 2019
Network Pruning for Low-Rank Binary Indexing Dongsoo Lee S. Kwon Byeongwook Kim Parichay Kapoor Gu-Yeon Wei 54 6 0 14 May 2019
Object Detection in 20 Years: A Survey Zhengxia Zou Keyan Chen Zhenwei Shi Yuhong Guo Jieping Ye VLM ObjD AI4TS 169 2,418 0 13 May 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search Hongpeng Zhou Minghao Yang Jun Wang Wei Pan BDL 109 202 0 13 May 2019
Approximated Oracle Filter Pruning for Destructive CNN Width Optimization Xiaohan Ding Guiguang Ding Yuchen Guo Jiawei Han C. Yan AAML 76 125 0 12 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 115 15 0 11 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri VLM 65 71 0 11 May 2019
Encrypted Speech Recognition using Deep Polynomial Networks Shi-Xiong Zhang Jiawei Liu Dong Yu 62 26 0 11 May 2019
EdgeSegNet: A Compact Network for Semantic Segmentation Z. Q. Lin Brendan Chwyl A. Wong SSeg 49 9 0 10 May 2019
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices Nilay Shrivastava Astitwa Saxena Yaman Kumar Singla Preeti Kaur Debanjan Mahata R. Shah 86 3 0 10 May 2019
Seesaw-Net: Convolution Neural Network With Uneven Group Convolution Jintao Zhang BDL 75 7 0 09 May 2019
Deep Learning Acceleration Techniques for Real Time Mobile Vision Applications Gael Kamdem De Teyou 3DH 49 1 0 09 May 2019
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation Yu Wang Quan Zhou Jia-Wei Liu Jian Xiong Guangwei Gao Xiaofu Wu Longin Jan Latecki SSeg 91 316 0 07 May 2019
Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices Yiwu Yao Weiqiang Yang Haoqi Zhu 37 0 0 06 May 2019
Zygarde: Time-Sensitive On-Device Deep Inference and Adaptation on Intermittently-Powered Systems Bashima Islam S. Nirjon 47 9 0 05 May 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask Hattie Zhou Janice Lan Rosanne Liu J. Yosinski UQCV 105 389 0 03 May 2019
Compressibility Loss for Neural Network Weights Çağlar Aytekin Francesco Cricri Emre B. Aksu 48 11 0 03 May 2019
Compression of Acoustic Event Detection Models with Low-rank Matrix Factorization and Quantization Training Bowen Shi Ming Sun Chieh-Chi Kao Viktor Rozgic Spyros Matsoukas Chao Wang 49 15 0 02 May 2019
Full-stack Optimization for Accelerating CNNs with FPGA Validation Bradley McDanel Shanghang Zhang H. T. Kung Xin Dong MQ 36 2 0 01 May 2019
RadiX-Net: Structured Sparse Matrices for Deep Neural Networks Ryan A. Robinett J. Kepner 58 40 0 30 Apr 2019
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Yuanfei Luo Mengshuo Wang Hao Zhou Quanming Yao Wei-Wei Tu Yuqiang Chen Qiang Yang Wenyuan Dai 85 109 0 29 Apr 2019
HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision Zhen Dong Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 111 531 0 29 Apr 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training Guandao Yang Tianyi Zhang Polina Kirichenko Junwen Bai A. Wilson Christopher De Sa 95 97 0 26 Apr 2019
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 82 151 0 25 Apr 2019
$$S^{2}$-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning$ $S^{2}$ -LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning Yanwei Fu Donghao Li Xinwei Sun Shun Zhang Yizhou Wang Yuan Yao 40 0 0 24 Apr 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 94 103 0 24 Apr 2019
Design Automation for Efficient Deep Learning Computing Song Han Han Cai Ligeng Zhu Ji Lin Kuan-Chieh Wang Zhijian Liu Chengyue Wu 83 20 0 24 Apr 2019
Deep Anchored Convolutional Neural Networks Jiahui Huang Kshitij Dwivedi Gemma Roig 40 1 0 22 Apr 2019
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System Seulki Lee Bashima Islam Yubo Luo S. Nirjon 50 35 0 21 Apr 2019
Compression and Localization in Reinforcement Learning for ATARI Games Joel Ruben Antony Moniz Barun Patra Sarthak Garg AI4CE 51 2 0 20 Apr 2019
Knowledge Distillation via Route Constrained Optimization Xiao Jin Baoyun Peng Yichao Wu Yu Liu Jiaheng Liu Ding Liang Junjie Yan Xiaolin Hu 90 172 0 19 Apr 2019
Salient Object Detection in the Deep Learning Era: An In-Depth Survey Wenguan Wang Qiuxia Lai Huazhu Fu Jianbing Shen Haibin Ling Ruigang Yang 108 617 0 19 Apr 2019
SCANN: Synthesis of Compact and Accurate Neural Networks Shayan Hassantabar Zeyu Wang N. Jha 45 38 0 19 Apr 2019
Feature Fusion for Online Mutual Knowledge Distillation Jangho Kim Minsung Hyun Inseop Chung Nojun Kwak FedML 81 92 0 19 Apr 2019
Defensive Quantization: When Efficiency Meets Robustness Ji Lin Chuang Gan Song Han MQ 123 204 0 17 Apr 2019
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation Jingzhou Chen Siyu Chen Peilin Zhou Y. Qian 58 11 0 16 Apr 2019
Shakeout: A New Approach to Regularized Deep Neural Network Training Guoliang Kang Jun Yu Li Dacheng Tao 64 59 0 13 Apr 2019
Cramnet: Layer-wise Deep Neural Network Compression with Knowledge Transfer from a Teacher Network J. Hoffman 31 3 0 11 Apr 2019
Knowledge Squeezed Adversarial Network Compression Changyong Shu Li Peng Xie Yuan Yanyun Qu Longquan Dai Lizhuang Ma GAN 75 11 0 10 Apr 2019
ThumbNet: One Thumbnail Image Contains All You Need for Recognition Chen Zhao Guohao Li 61 12 0 10 Apr 2019