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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
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 150 476 0 31 Mar 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 99 161 0 30 Mar 2020
How Not to Give a FLOP: Combining Regularization and Pruning for Efficient Inference Tai Vu Emily Wen Roy Nehoran 37 5 0 30 Mar 2020
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets D. Haase Manuel Amthor 89 136 0 30 Mar 2020
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks Qihang Yu Yingwei Li Jieru Mei Yuyin Zhou Alan Yuille 3DPC 68 3 0 28 Mar 2020
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search Xiyang Dai Dongdong Chen Mengchen Liu Yinpeng Chen Lu Yuan 68 21 0 27 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 116 29 0 26 Mar 2020
Bayesian Sparsification Methods for Deep Complex-valued Networks Ivan Nazarov Evgeny Burnaev BDL 59 0 0 25 Mar 2020
Overview of the IBM Neural Computer Architecture P. Narayanan C. E. Cox Alexis Asseman Nicolas Antoine Harald Huels W. Wilcke A. Ozcan AI4CE 16 3 0 25 Mar 2020
GraphChallenge.org Sparse Deep Neural Network Performance J. Kepner Simon Alford V. Gadepally Michael Jones Lauren Milechin Albert Reuther Ryan A. Robinett S. Samsi GNN 55 11 0 25 Mar 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal VLM 57 95 0 24 Mar 2020
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA M. Kroes L. Petrica S. Cotofana Michaela Blott 21 7 0 24 Mar 2020
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN Chenglong Wang M. Oda K. Mori MedIm 28 3 0 24 Mar 2020
Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting Lemeng Wu Mao Ye Qi Lei Jason D. Lee Qiang Liu 90 15 0 23 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer Lingbo Liu Jiaqi Chen Hefeng Wu Tianshui Chen Guanbin Li Liang Lin 98 65 0 23 Mar 2020
DP-Net: Dynamic Programming Guided Deep Neural Network Compression Dingcheng Yang Wenjian Yu Ao Zhou Haoyuan Mu G. Yao Xiaoyi Wang 45 6 0 21 Mar 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs Zhekai Zhang Ji Lin Yaoyao Ding Zhijian Liu Jun-Yan Zhu Song Han GAN 100 2 0 19 Mar 2020
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 225 192 0 19 Mar 2020
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units Guangli Li Lei Liu Xueying Wang Xiu Ma Xiaobing Feng MQ 65 18 0 19 Mar 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming Madan Ravi Ganesh Jason J. Corso Salimeh Yasaei Sekeh MQ 104 16 0 18 Mar 2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer Huan Wang Yijun Li Yuehai Wang Haoji Hu Ming-Hsuan Yang 177 103 0 18 Mar 2020
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication Abhishek Jana Bipin Paudel Md Kamruzzaman Sarker Monireh Ebrahimi Pascal Hitzler G. Amariucai AAML 40 10 0 18 Mar 2020
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies Paul Pu Liang Manzil Zaheer Yuan Wang Amr Ahmed BDL 61 1 0 18 Mar 2020
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition Xu Li Jingwen Wang Lin Ma Kaihao Zhang Fengzong Lian Zhanhui Kang Jinjun Wang 44 5 0 18 Mar 2020
Tiny Eats: Eating Detection on a Microcontroller Maria T. Nyamukuru K. Odame 46 21 0 14 Mar 2020
LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference in Image Recognition Ramyad Hadidi Bahar Asgari Jiashen Cao Younmin Bae Da Eun Shim Hyojong Kim Sung-Kyu Lim Michael S. Ryoo Hyesoon Kim 51 1 0 13 Mar 2020
Partial Weight Adaptation for Robust DNN Inference Xiufeng Xie Kyu-Han Kim 3DH 25 2 0 13 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration Jun Shi Jianfeng Xu K. Tasaka Zhibo Chen 99 25 0 12 Mar 2020
Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML G. D. Guglielmo Javier Mauricio Duarte Philip C. Harris Duc Hoang S. Jindariani ... D. Rankin Sheila Sagear S. Summers N. Tran Zhenbin Wu MQ 78 89 0 11 Mar 2020
Kernel Quantization for Efficient Network Compression Zhongzhi Yu Yemin Shi Tiejun Huang Yizhou Yu MQ 69 3 0 11 Mar 2020
Knowledge distillation via adaptive instance normalization Jing Yang Brais Martínez Adrian Bulat Georgios Tzimiropoulos 73 24 0 09 Mar 2020
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network Wonchul Son Youngbin Kim Wonseok Song Youngsuk Moon Wonjun Hwang 23 0 0 09 Mar 2020
Distilling portable Generative Adversarial Networks for Image Translation Hanting Chen Yunhe Wang Han Shu Changyuan Wen Chunjing Xu Boxin Shi Chao Xu Chang Xu 165 84 0 07 Mar 2020
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training Qinqing Zheng Bor-Yiing Su Jiyan Yang A. Azzolini Qiang Wu Ou Jin S. Karandikar Hagay Lupesko Liang Xiong Eric Zhou 3DH FedML GNN 73 8 0 07 Mar 2020
Trends and Advancements in Deep Neural Network Communication Felix Sattler Thomas Wiegand Wojciech Samek GNN 72 9 0 06 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 326 1,058 0 06 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training Bai Li Shiqi Wang Yunhan Jia Yantao Lu Zhenyu Zhong Lawrence Carin Suman Jana AAML 142 14 0 06 Mar 2020
Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks Sourjya Roy Priyadarshini Panda G. Srinivasan A. Raghunathan 3DPC VLM 70 19 0 05 Mar 2020
Confusing and Detecting ML Adversarial Attacks with Injected Attractors Jiyi Zhang E. Chang H. Lee AAML 68 1 0 05 Mar 2020
Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications Chinthaka Gamanayake Lahiru Jayasinghe Benny Kai Kiat Ng Chau Yuen VLM 96 47 0 05 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 313 388 0 05 Mar 2020
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 115 55 0 04 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search Hangyu Zhu Yaochu Jin FedML 208 73 0 04 Mar 2020
Privacy-preserving Learning via Deep Net Pruning Yangsibo Huang Yushan Su S. S. Ravi Zhao Song Sanjeev Arora Keqin Li MLT 73 16 0 04 Mar 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection Mao Ye Chengyue Gong Lizhen Nie Denny Zhou Adam R. Klivans Qiang Liu 125 111 0 03 Mar 2020
Long Short-Term Sample Distillation Liang Jiang Zujie Wen Zhongping Liang Yafang Wang Gerard de Melo Zhe Li Liangzhuang Ma Jiaxing Zhang Xiaolong Li Yuan Qi 27 7 0 02 Mar 2020
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision Hongjie Wang Yang Zhao Chaojian Li Yue Wang Yingyan Lin 37 14 0 02 Mar 2020
A Note on Latency Variability of Deep Neural Networks for Mobile Inference Luting Yang Bingqian Lu Shaolei Ren 26 6 0 29 Feb 2020
Learned Threshold Pruning K. Azarian Yash Bhalgat Jinwon Lee Tijmen Blankevoort MQ 86 38 0 28 Feb 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu Zhouxing Shi Huan Zhang Yihan Wang Kai-Wei Chang Minlie Huang B. Kailkhura Xinyu Lin Cho-Jui Hsieh AAML 78 12 0 28 Feb 2020