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
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ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions Hongyang Gao Zhengyang Wang Shuiwang Ji 11 70 0 05 Sep 2018
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Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 32 31 0 01 Sep 2018
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DeepTracker: Visualizing the Training Process of Convolutional Neural Networks Dongyu Liu Weiwei Cui Kai Jin Yuxiao Guo Huamin Qu HAI 11 34 0 26 Aug 2018
An Overview of Datatype Quantization Techniques for Convolutional Neural Networks A. Athar BDL MQ 8 0 0 22 Aug 2018
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Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Yang He Guoliang Kang Xuanyi Dong Yanwei Fu Yi Yang AAML VLM 36 958 0 21 Aug 2018
Constrained-size Tensorflow Models for YouTube-8M Video Understanding Challenge Tianqi Liu Bo Liu ALM MQ 36 5 0 21 Aug 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss S. Jung Changyong Son Seohyung Lee JinWoo Son Youngjun Kwak Jae-Joon Han Sung Ju Hwang Changkyu Choi MQ 25 373 0 17 Aug 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions Jianbo Guo Yuxi Li Weiyao Lin Yurong Chen Jianguo Li 3DV OOD 19 84 0 16 Aug 2018
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VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting Zecheng He Tianwei Zhang R. Lee FedML AAML MLAU 36 18 0 09 Aug 2018
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Efficient Fusion of Sparse and Complementary Convolutions Chun-Fu Chen Quanfu Fan Marco Pistoia G. Lee 24 0 0 07 Aug 2018
Deep Generative Modeling for Scene Synthesis via Hybrid Representations Zaiwei Zhang Zhenpei Yang Chongyang Ma Linjie Luo Alexander G. Huth E. Vouga Qi-Xing Huang GAN 3DPC 23 126 0 06 Aug 2018
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StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs Tianyun Zhang Shaokai Ye Kaiqi Zhang Xiaolong Ma Ning Liu ... Jian Tang Kaisheng Ma Xue Lin M. Fardad Yanzhi Wang 31 50 0 29 Jul 2018
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FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software Jin Hee Kim Brett Grady Ruolong Lian J. Brothers J. Anderson 14 41 0 27 Jul 2018
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks Yuzhe Ma Ran Chen Wei Li Fanhua Shang Wenjian Yu Minsik Cho Bei Yu 25 3 0 26 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 23 699 0 26 Jul 2018
Crossbar-aware neural network pruning Ling Liang Lei Deng Y. Zeng Xing Hu Yu Ji Xin Ma Guoqi Li Yuan Xie 36 41 0 25 Jul 2018
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Supporting Very Large Models using Automatic Dataflow Graph Partitioning Minjie Wang Chien-chin Huang Jinyang Li 54 154 0 24 Jul 2018
Recent Advances in Convolutional Neural Network Acceleration Qianru Zhang Meng Zhang Tinghuan Chen Zhifei Sun Yuzhe Ma Bei Yu 36 348 0 23 Jul 2018
Spatial Correlation and Value Prediction in Convolutional Neural Networks Gil Shomron U. Weiser 11 43 0 21 Jul 2018