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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
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 108 142 0 15 Jan 2019
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning Hyun-Joo Jung Jaedeok Kim Yoonsuck Choe 35 1 0 09 Jan 2019
Collaborative Execution of Deep Neural Networks on Internet of Things Devices Ramyad Hadidi Jiashen Cao Michael S. Ryoo Hyesoon Kim 50 19 0 08 Jan 2019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network Aditya Kusupati Manish Singh Kush S. Bhatia A. Kumar Prateek Jain Manik Varma 92 190 0 08 Jan 2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference Kumar Shridhar F. Laumann Marcus Liwicki BDL UQCV 110 176 0 08 Jan 2019
Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps Abhishek Sehgal N. Kehtarnavaz 46 38 0 08 Jan 2019
Spatial-Winograd Pruning Enabling Sparse Winograd Convolution Jiecao Yu Jongsoo Park Maxim Naumov 21 7 0 08 Jan 2019
Efficient Winograd Convolution via Integer Arithmetic Lingchuan Meng J. Brothers 72 29 0 07 Jan 2019
GASL: Guided Attention for Sparsity Learning in Deep Neural Networks A. Torfi Rouzbeh A. Shirvani Sobhan Soleymani Nasser M. Nasrabadi 94 8 0 07 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 50 68 0 07 Jan 2019
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation Suraj Mishra Peixian Liang A. Czajka Benlin Liu X. S. Hu MedIm 55 27 0 06 Jan 2019
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks Xue Geng Jie Fu Bin Zhao Jie Lin M. Aly C. Pal V. Chandrasekhar MQ 35 6 0 04 Jan 2019
HG-Caffe: Mobile and Embedded Neural Network GPU (OpenCL) Inference Engine with FP16 Supporting Zhuoran Ji BDL 28 5 0 03 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 222 613 0 01 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 85 380 0 01 Jan 2019
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks Long Zhang Xuechao Sun Yong Li Zhenyu Zhang AAML 53 22 0 01 Jan 2019
Regularized Binary Network Training Sajad Darabi Mouloud Belbahri Matthieu Courbariaux V. Nia MQ 65 32 0 31 Dec 2018
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 111 887 0 31 Dec 2018
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm Charbel Sakr Naresh R Shanbhag MQ 84 43 0 31 Dec 2018
Deep Residual Learning in the JPEG Transform Domain Max Ehrlich L. Davis 99 125 0 31 Dec 2018
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers Ao Ren Tianyun Zhang Shaokai Ye Jiayu Li Wenyao Xu Xuehai Qian Xinyu Lin Yanzhi Wang MQ 113 161 0 31 Dec 2018
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks G. B. Hacene Vincent Gripon M. Arzel Nicolas Farrugia Yoshua Bengio MQ 51 14 0 29 Dec 2018
On the Benefit of Width for Neural Networks: Disappearance of Bad Basins Dawei Li Tian Ding Ruoyu Sun 150 39 0 28 Dec 2018
Exploring Weight Symmetry in Deep Neural Networks S. Hu Sergey Zagoruyko N. Komodakis 59 33 0 28 Dec 2018
Towards a Theoretical Understanding of Hashing-Based Neural Nets Yibo Lin Zhao Song Lin F. Yang 43 5 0 26 Dec 2018
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran 3DPC 88 32 0 26 Dec 2018
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution Hongshan Li Chenghao Hu Jingyan Jiang Zhi Wang Yonggang Wen Wenwu Zhu 110 136 0 25 Dec 2018
A Survey of FPGA Based Deep Learning Accelerators: Challenges and Opportunities Teng Wang Chao Wang Xuehai Zhou Hua-ping Chen 64 34 0 25 Dec 2018
Dynamic Runtime Feature Map Pruning Tailin Liang Lei Wang Shaobo Shi C. Glossner 3DPC 44 8 0 24 Dec 2018
Precision Highway for Ultra Low-Precision Quantization Eunhyeok Park Dongyoung Kim S. Yoo Peter Vajda MQ AI4TS 158 12 0 24 Dec 2018
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden Dianbo Liu N. Sepulveda Ming Zheng 68 7 0 23 Dec 2018
Cascaded Coarse-to-Fine Deep Kernel Networks for Efficient Satellite Image Change Detection H. Sahbi 38 0 0 21 Dec 2018
COSINE: Compressive Network Embedding on Large-scale Information Networks Zhengyan Zhang Cheng Yang Zhiyuan Liu Maosong Sun Zhichong Fang Bo Zhang Leyu Lin GNN 55 7 0 21 Dec 2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation Xiaoliang Dai Peizhao Zhang Bichen Wu Hongxu Yin Fei Sun ... Yiming Wu Yangqing Jia Peter Vajda M. Uyttendaele N. Jha 104 275 0 21 Dec 2018
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 102 559 0 21 Dec 2018
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks M. Park Xiaofang Xu C. Brick MQ 61 8 0 20 Dec 2018
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks A. Yaguchi Taiji Suzuki Wataru Asano Shuhei Nitta Y. Sakata A. Tanizawa 36 18 0 19 Dec 2018
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 84 29 0 18 Dec 2018
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 127 451 0 18 Dec 2018
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks Weijie Chen Yuan Zhang Di Xie Shiliang Pu 39 13 0 17 Dec 2018
Learning Student Networks via Feature Embedding Hanting Chen Yunhe Wang Chang Xu Chao Xu Dacheng Tao 71 96 0 17 Dec 2018
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms Mohammad Motamedi Felix Portillo Daniel D. Fong S. Ghiasi 35 3 0 16 Dec 2018
Resource-Scalable CNN Synthesis for IoT Applications Mohammad Motamedi Felix Portillo Mahya Saffarpour Daniel D. Fong S. Ghiasi 26 5 0 16 Dec 2018
A Low Effort Approach to Structured CNN Design Using PCA Isha Garg Priyadarshini Panda Kaushik Roy 68 62 0 15 Dec 2018
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs Zhe Li Caiwen Ding Siyue Wang Wujie Wen Youwei Zhuo ... Qinru Qiu Wenyao Xu Xinyu Lin Xuehai Qian Yanzhi Wang MQ 63 65 0 12 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji 82 130 0 11 Dec 2018
Channel selection using Gumbel Softmax Charles Herrmann Richard Strong Bowen Ramin Zabih 58 3 0 11 Dec 2018
Accelerating Convolutional Neural Networks via Activation Map Compression Georgios Georgiadis 88 76 0 10 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression Wei Wang Liqiang Zhu CVBM 61 14 0 10 Dec 2018
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 86 100 0 08 Dec 2018