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
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 47 595 0 28 Oct 2018
Learning Sparse Neural Networks via Sensitivity-Driven Regularization Enzo Tartaglione S. Lepsøy Attilio Fiandrotti Gianluca Francini 9 69 0 28 Oct 2018
A Miniaturized Semantic Segmentation Method for Remote Sensing Image Shou-Yu Chen Guang-Sheng Chen Wei-Peng Jing 14 1 0 27 Oct 2018
Distilling with Performance Enhanced Students Jack Turner Elliot J. Crowley Valentin Radu José Cano Amos Storkey Michael F. P. O'Boyle 24 3 0 24 Oct 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision Biyi Fang Xiao Zeng Mi Zhang 3DH 34 264 0 23 Oct 2018
Deep Neural Network inference with reduced word length Lukas Mauch Binh Yang MQ 14 0 0 23 Oct 2018
Convolutional Neural Network Pruning to Accelerate Membrane Segmentation in Electron Microscopy J. Roels Jonas De Vylder J. Aelterman Yvan Saeys Wilfried Philips 14 6 0 23 Oct 2018
Learning sparse transformations through backpropagation Peter Bloem 24 0 0 22 Oct 2018
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference Qing Qin Jie Ren Jia-Le Yu Ling Gao Hai Wang Jie Zheng Yansong Feng Jianbin Fang Zheng Wang 16 21 0 21 Oct 2018
CNN inference acceleration using dictionary of centroids D.Babin I.Mazurenko D.Parkhomenko A.Voloshko MQ 14 0 0 19 Oct 2018
Real-time Neural-based Input Method Jiali Yao Raphael Shu Xinjian Li K. Ohtsuki Hideki Nakayama 11 4 0 19 Oct 2018
KTAN: Knowledge Transfer Adversarial Network Peiye Liu Wu Liu Huadong Ma Tao Mei Mingoo Seok GAN 36 28 0 18 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 Xinyu Lin Yanzhi Wang AI4CE 53 38 0 17 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 14 48 0 12 Oct 2018
Rethinking the Value of Network Pruning Zhuang Liu Mingjie Sun Tinghui Zhou Gao Huang Trevor Darrell 10 1,457 0 11 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression Elliot J. Crowley Jack Turner Amos Storkey Michael F. P. O'Boyle 3DPC 34 31 0 10 Oct 2018
Extreme Classification in Log Memory Qixuan Huang Yiqiu Wang Tharun Medini Anshumali Shrivastava VLM 18 3 0 09 Oct 2018
Deep Neural Network Compression for Aircraft Collision Avoidance Systems Kyle D. Julian Mykel J. Kochenderfer Michael P. Owen 28 169 0 09 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
Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 35 147 0 08 Oct 2018
Sparse Winograd Convolutional neural networks on small-scale systolic arrays Feng Shi Haochen Li Yuhe Gao Benjamin Kuschner Song-Chun Zhu 11 15 0 03 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 46 132 0 03 Oct 2018
Learning with Random Learning Rates Léonard Blier Pierre Wolinski Yann Ollivier OOD 34 20 0 02 Oct 2018
Training compact deep learning models for video classification using circulant matrices Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 34 14 0 02 Oct 2018
Target Aware Network Adaptation for Efficient Representation Learning Yang Zhong Vladimir Li R. Okada A. Maki 23 6 0 02 Oct 2018
LIT: Block-wise Intermediate Representation Training for Model Compression Animesh Koratana Daniel Kang Peter Bailis Matei A. Zaharia 19 12 0 02 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 16 67 0 02 Oct 2018
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators Lukas Cavigelli Luca Benini 32 20 0 01 Oct 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 24 117 0 01 Oct 2018
Dynamic Sparse Graph for Efficient Deep Learning Liu Liu Lei Deng Xing Hu Maohua Zhu Guoqi Li Yufei Ding Yuan Xie GNN 40 42 0 01 Oct 2018
Benchmark Analysis of Representative Deep Neural Network Architectures Simone Bianco Rémi Cadène Luigi Celona Paolo Napoletano BDL 28 672 0 01 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 24 67 0 30 Sep 2018
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters Marton Havasi Robert Peharz José Miguel Hernández-Lobato 20 80 0 30 Sep 2018
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse Sangkug Lym Armand Behroozi W. Wen Ge Li Yongkee Kwon M. Erez 17 25 0 30 Sep 2018
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson AAML 19 43 0 29 Sep 2018
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 34 8 0 29 Sep 2018
Throughput Optimizations for FPGA-based Deep Neural Network Inference Thorbjörn Posewsky Daniel Ziener 19 25 0 28 Sep 2018
Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems Graham Gobieski Nathan Beckmann Brandon Lucia 22 204 0 28 Sep 2018
Deep learning systems as complex networks Alberto Testolin Michele Piccolini S. Suweis AI4CE BDL GNN 13 27 0 28 Sep 2018
Learning to Train a Binary Neural Network Joseph Bethge Haojin Yang Christian Bartz Christoph Meinel MQ 17 12 0 27 Sep 2018
Adaptive Pruning of Neural Language Models for Mobile Devices Raphael Tang Jimmy J. Lin 24 6 0 27 Sep 2018
Object Detection from Scratch with Deep Supervision Zhiqiang Shen Zhuang Liu Jianguo Li Yu-Gang Jiang Yurong Chen Xiangyang Xue ObjD 24 77 0 25 Sep 2018
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference S. Baluja David Marwood Michele Covell Nick Johnston MQ 26 8 0 24 Sep 2018
Shift-based Primitives for Efficient Convolutional Neural Networks Huasong Zhong Xianggen Liu Yihui He Yuchun Ma 35 20 0 22 Sep 2018
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices Shuochao Yao Yiran Zhao Huajie Shao Shengzhong Liu Dongxin Liu Lu Su Tarek Abdelzaher HAI 21 132 0 19 Sep 2018
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 16 4 0 18 Sep 2018
Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing Zhuo Chen Weisi Lin Shiqi Wang Ling-yu Duan Alex C. Kot 35 16 0 17 Sep 2018
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis A. Wong M. Shafiee Brendan Chwyl Francis Li 13 64 0 17 Sep 2018
Memristor-based Deep Convolution Neural Network: A Case Study Fan Zhang Miao Hu 11 6 0 14 Sep 2018
Hardware-Aware Machine Learning: Modeling and Optimization Diana Marculescu Dimitrios Stamoulis E. Cai 28 45 0 14 Sep 2018