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
Learning SMaLL Predictors Vikas K. Garg O. Dekel Lin Xiao 8 3 0 06 Mar 2018
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning Huan Yang Baoyuan Wang Noranart Vesdapunt Minyi Guo S. B. Kang 32 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 33 545 0 05 Mar 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks Qianxiao Li Shuji Hao 32 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 34 875 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 20 3 0 01 Mar 2018
Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning Yichi Zhang Zhijian Ou 27 0 0 01 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 28 179 0 28 Feb 2018
Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs Xuhao Chen 21 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 24 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 28 33 0 27 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 704 0 26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence Jinglan Liu Jiaxin Zhang Yukun Ding Xiaowei Xu Meng Jiang Yiyu Shi 41 4 0 26 Feb 2018
Wide Compression: Tensor Ring Nets Wenqi Wang Yifan Sun Brian Eriksson Wenlin Wang Vaneet Aggarwal 13 167 0 25 Feb 2018
Loss-aware Weight Quantization of Deep Networks Lu Hou James T. Kwok MQ 35 127 0 23 Feb 2018
Training wide residual networks for deployment using a single bit for each weight Mark D Mcdonnell MQ 41 71 0 23 Feb 2018
Approximation Algorithms for Cascading Prediction Models Matthew J. Streeter TPM 13 19 0 21 Feb 2018
Building Efficient ConvNets using Redundant Feature Pruning B. Ayinde J. Zurada VLM 3DPC 29 47 0 21 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning Hyeontaek Lim D. Andersen M. Kaminsky 21 70 0 21 Feb 2018
The Description Length of Deep Learning Models Léonard Blier Yann Ollivier 32 97 0 20 Feb 2018
DeepThin: A Self-Compressing Library for Deep Neural Networks Matthew Sotoudeh Sara S. Baghsorkhi 18 4 0 20 Feb 2018
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures John Mern Jayesh K. Gupta Mykel Kochenderfer 40 1 0 20 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets Fabian Schuiki Michael Schaffner Frank K. Gürkaynak Luca Benini 31 70 0 19 Feb 2018
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang Caiwen Ding Zhe Li Geng Yuan Siyu Liao ... Bo Yuan Xuehai Qian Jian Tang Qinru Qiu Xinyu Lin 31 33 0 18 Feb 2018
Efficient Sparse-Winograd Convolutional Neural Networks Xingyu Liu Jeff Pool Song Han W. Dally 13 122 0 18 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 52 45 0 17 Feb 2018
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Yipeng Zhang Yanzhi Wang M. Fardad 22 21 0 15 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 48 718 0 15 Feb 2018
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks Qi Liu Tao Liu Zihao Liu Yanzhi Wang Yier Jin Wujie Wen AAML 35 48 0 14 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 32 543 0 14 Feb 2018
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning Haoyu Zhang Logan Stafman Andrew Or M. Freedman 38 140 0 13 Feb 2018
Training and Inference with Integers in Deep Neural Networks Shuang Wu Guoqi Li F. Chen Luping Shi MQ 41 389 0 13 Feb 2018
Attention-Based Guided Structured Sparsity of Deep Neural Networks A. Torfi Rouzbeh A. Shirvani Sobhan Soleymani Nasser M. Nasrabadi 29 23 0 13 Feb 2018
DCFNet: Deep Neural Network with Decomposed Convolutional Filters Qiang Qiu Xiuyuan Cheng Robert Calderbank Guillermo Sapiro 41 69 0 12 Feb 2018
ClosNets: a Priori Sparse Topologies for Faster DNN Training Mihailo Isakov Michel A. Kinsy CVBM 36 0 0 12 Feb 2018
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms J. Ko Taesik Na M. Amir Saibal Mukhopadhyay 24 148 0 11 Feb 2018
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators Jeff Zhang Kartheek Rangineni Zahra Ghodsi S. Garg 36 118 0 11 Feb 2018
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator Jeff Zhang Tianyu Gu K. Basu S. Garg 14 134 0 11 Feb 2018
The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations Bernd Malle Nicola Giuliani Peter Kieseberg Andreas Holzinger 13 8 0 11 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding Jinglan Liu Jinjun Xiong Yiyu Shi MQ 37 21 0 10 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 35 1,343 0 10 Feb 2018
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence A. Chung Paul Fieguth A. Wong 24 1 0 09 Feb 2018
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures Abhronil Sengupta Yuting Ye Robert Y. Wang Chiao Liu Kaushik Roy 38 989 0 07 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks Md. Zahangir Alom A. Moody N. Maruyama B. Van Essen T. Taha MQ 8 33 0 07 Feb 2018
CryptoRec: Privacy-preserving Recommendation as a Service Jun Wang Afonso Arriaga Qiang Tang Peter Y. A. Ryan 13 3 0 07 Feb 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 86 86 0 07 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 31 144 0 06 Feb 2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices Ramyad Hadidi Jiashen Cao M. Woodward Michael S. Ryoo Hyesoon Kim 22 34 0 05 Feb 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 46 39 0 05 Feb 2018