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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"

50 / 3,481 papers shown

Title
Approximation Algorithms for Cascading Prediction Models Matthew J. Streeter TPM 58 21 0 21 Feb 2018
Building Efficient ConvNets using Redundant Feature Pruning B. Ayinde J. Zurada VLM 3DPC 85 47 0 21 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning Hyeontaek Lim D. Andersen M. Kaminsky 139 70 0 21 Feb 2018
The Description Length of Deep Learning Models Léonard Blier Yann Ollivier 121 98 0 20 Feb 2018
DeepThin: A Self-Compressing Library for Deep Neural Networks Matthew Sotoudeh Sara S. Baghsorkhi 27 4 0 20 Feb 2018
Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures John Mern Jayesh K. Gupta Mykel Kochenderfer 55 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 66 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 80 33 0 18 Feb 2018
Efficient Sparse-Winograd Convolutional Neural Networks Xingyu Liu Jeff Pool Song Han W. Dally 62 122 0 18 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 80 44 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 53 21 0 15 Feb 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 125 736 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 68 48 0 14 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 115 554 0 14 Feb 2018
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning Haoyu Zhang Logan Stafman Andrew Or M. Freedman 70 143 0 13 Feb 2018
Training and Inference with Integers in Deep Neural Networks Shuang Wu Guoqi Li F. Chen Luping Shi MQ 86 391 0 13 Feb 2018
Attention-Based Guided Structured Sparsity of Deep Neural Networks A. Torfi Rouzbeh A. Shirvani Sobhan Soleymani Nasser M. Nasrabadi 85 23 0 13 Feb 2018
DCFNet: Deep Neural Network with Decomposed Convolutional Filters Qiang Qiu Xiuyuan Cheng Robert Calderbank Guillermo Sapiro 82 69 0 12 Feb 2018
ClosNets: a Priori Sparse Topologies for Faster DNN Training Mihailo Isakov Michel A. Kinsy CVBM 45 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 76 150 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 88 118 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 42 135 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 17 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 120 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 151 1,351 0 10 Feb 2018
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence A. Chung Paul Fieguth A. Wong 38 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 126 1,014 0 07 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks Md. Zahangir Alom A. Moody N. Maruyama B. Van Essen T. Taha MQ 72 36 0 07 Feb 2018
CryptoRec: Privacy-preserving Recommendation as a Service Jun Wang Afonso Arriaga Qiang Tang Peter Y. A. Ryan 46 4 0 07 Feb 2018
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 157 88 0 07 Feb 2018
Digital Watermarking for Deep Neural Networks Yuki Nagai Yusuke Uchida S. Sakazawa Shiníchi Satoh WIGM 84 144 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 71 34 0 05 Feb 2018
Learning Compact Neural Networks with Regularization Samet Oymak MLT 101 39 0 05 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks Jian Cheng Peisong Wang Gang Li Qinghao Hu Hanqing Lu 65 3 0 03 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning Yixing Li Fengbo Ren MQ 43 12 0 03 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 82 52 0 02 Feb 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 87 87 0 02 Feb 2018
Adaptive Memory Networks Daniel Li Asim Kadav 73 5 0 01 Feb 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks Chen Xu Jianqiang Yao Zhouchen Lin Wenwu Ou Yuanbin Cao Zhirong Wang H. Zha MQ 97 116 0 01 Feb 2018
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography JiaLiang Guo Bo Zhou Xiangrui Zeng Z. Freyberg Min Xu 34 10 0 31 Jan 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 80 66 0 31 Jan 2018
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising Kai Zhen Aswin Sivaraman Jongmo Sung Minje Kim 58 7 0 29 Jan 2018
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks Yuechao Gao Nianhong Liu Shenmin Zhang 114 0 0 23 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks Qiangui Huang S. Kevin Zhou Suya You Ulrich Neumann VLM 102 177 0 23 Jan 2018
Binary output layer of feedforward neural networks for solving multi-class classification problems Sibo Yang Chao Zhang Wei Wu MQ 21 8 0 22 Jan 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 115 649 0 21 Jan 2018
Toward Scalable Verification for Safety-Critical Deep Networks L. Kuper Guy Katz Justin Emile Gottschlich Kyle D. Julian Clark W. Barrett Mykel Kochenderfer 109 40 0 18 Jan 2018
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks M. Shafiee Brendan Chwyl Francis Li Rongyan Chen Michelle Karg C. Scharfenberger A. Wong 23 7 0 16 Jan 2018
Deep Net Triage: Analyzing the Importance of Network Layers via Structural Compression Theodore S. Nowak Jason J. Corso FAtt 43 3 0 15 Jan 2018
Fix your classifier: the marginal value of training the last weight layer Elad Hoffer Itay Hubara Daniel Soudry 165 102 0 14 Jan 2018