v1v2v3v4v5 (latest)

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
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 89 44 0 22 May 2018
CascadeCNN: Pushing the performance limits of quantisation Alexandros Kouris Stylianos I. Venieris C. Bouganis MQ 56 24 0 22 May 2018
Parsimonious Bayesian deep networks Mingyuan Zhou BDL 43 8 0 22 May 2018
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference Xin He Liu Ke Wenyan Lu Guihai Yan Xuan Zhang 54 34 0 21 May 2018
Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints Yoojin Choi Mostafa El-Khamy Jungwon Lee 40 6 0 21 May 2018
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 81 27 0 21 May 2018
Neural Network Compression using Transform Coding and Clustering Thorsten Laude Yannick Richter Jörn Ostermann 27 4 0 18 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 58 43 0 17 May 2018
Object detection at 200 Frames Per Second Rakesh Mehta Cemalettin Öztürk ObjD 74 61 0 16 May 2018
Lightweight Pyramid Networks for Image Deraining Xueyang Fu Borong Liang Yue Huang Xinghao Ding John Paisley 64 327 0 16 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks Wenshuo Li Jincheng Yu Xuefei Ning Pengjun Wang Qi Wei Yu Wang Huazhong Yang AAML 93 63 0 14 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage Yi-Min Chou Yi-Ming Chan Jia-Hong Lee Chih-Yi Chiu Chu-Song Chen MoMe 71 34 0 14 May 2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time Rudra P. K. Poudel Ujwal D. Bonde Stephan Liwicki Christopher Zach SSeg 83 232 0 11 May 2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks Amir Yazdanbakhsh Hajar Falahati Philip J. Wolfe K. Samadi Nam Sung Kim H. Esmaeilzadeh 93 74 0 10 May 2018
Boosting up Scene Text Detectors with Guided CNN Xiaoyu Yue Zhanghui Kuang Zhaoyang Zhang Zhenfang Chen Pan He Yu Qiao Wayne Zhang 33 8 0 10 May 2018
Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks Charles Eckert Xiaowei Wang Jingcheng Wang Arun K. Subramaniyan R. Iyer D. Sylvester D. Blaauw R. Das MQ 53 341 0 09 May 2018
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks Fuqiang Liu Chenchen Liu 32 5 0 08 May 2018
A Hierarchical Matcher using Local Classifier Chains Lingfeng Zhang I. Kakadiaris 16 0 0 07 May 2018
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks Brian Bartoldson Adrian Barbu G. Erlebacher 45 5 0 04 May 2018
Power Law in Sparsified Deep Neural Networks Lu Hou James T. Kwok 52 3 0 04 May 2018
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling Shu Kong Charless C. Fowlkes 99 40 0 03 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks Chaim Baskin Eli Schwartz Evgenii Zheltonozhskii Natan Liss Raja Giryes A. Bronstein A. Mendelson MQ 104 45 0 29 Apr 2018
Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection Ce Qi Xiaoping Chen Pingyu Wang Fei Su CVBM 26 1 0 28 Apr 2018
Low-memory convolutional neural networks through incremental depth-first processing Jonathan Binas Yoshua Bengio SupR 51 3 0 28 Apr 2018
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip Feiwen Zhu Jeff Pool M. Andersch J. Appleyard Fung Xie 53 30 0 26 Apr 2018
Profile-guided memory optimization for deep neural networks Taro Sekiyama T. Imamichi Haruki Imai Raymond H. Putra 99 22 0 26 Apr 2018
Accelerator-Aware Pruning for Convolutional Neural Networks Hyeong-Ju Kang 102 90 0 26 Apr 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 245 503 0 24 Apr 2018
Measuring the Intrinsic Dimension of Objective Landscapes Chunyuan Li Heerad Farkhoor Rosanne Liu J. Yosinski 95 418 0 24 Apr 2018
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server Guoxin Cui Jun Xu Wei Zeng Yanyan Lan Jiafeng Guo Xueqi Cheng MQ 33 13 0 22 Apr 2018
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices Sheng Chen Yang Liu Xiang Gao Zhen Han CVBM 3DH 133 566 0 20 Apr 2018
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression Shihui Yin Gaurav Srivastava S. Venkataramanaiah C. Chakrabarti Visar Berisha Jae-sun Seo 32 8 0 19 Apr 2018
Pelee: A Real-Time Object Detection System on Mobile Devices R. Wang Xiang Li Charles X. Ling ObjD 87 460 0 18 Apr 2018
Deep Face Recognition: A Survey Mei Wang Weihong Deng NoLa 158 1,243 0 18 Apr 2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition Kartik Hegde Jiyong Yu R. Agrawal Mengjia Yan Michael Pellauer Christopher W. Fletcher 79 166 0 18 Apr 2018
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving Jiaolong Xu Peng Wang Hengzhang Yang Antonio M. López MQ 62 23 0 17 Apr 2018
IGCV $2$ : Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie Jingdong Wang Ting Zhang Jianhuang Lai Richang Hong Guo-Jun Qi 120 106 0 17 Apr 2018
Non-Vacuous Generalization Bounds at the ImageNet Scale: A PAC-Bayesian Compression Approach Wenda Zhou Victor Veitch Morgane Austern Ryan P. Adams Peter Orbanz 100 215 0 16 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 164 396 0 16 Apr 2018
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal Lucas Liebenwein Igor Gilitschenski Dan Feldman Daniela Rus 95 79 0 15 Apr 2018
Select, Attend, and Transfer: Light, Learnable Skip Connections Saeid Asgari Taghanaki A. Bentaieb Anmol Sharma S. Kevin Zhou Yefeng Zheng ... Puneet Sharma Sasa Grbic Zhoubing Xu Dorin Comaniciu Ghassan Hamarneh 94 20 0 14 Apr 2018
Pieces of Eight: 8-bit Neural Machine Translation Jerry Quinn Miguel Ballesteros MQ 96 25 0 13 Apr 2018
The unreasonable effectiveness of the forget gate J. Westhuizen Joan Lasenby 90 89 0 13 Apr 2018
A Compact Network Learning Model for Distribution Regression C. Kou H. Lee Teck Khim Ng 64 10 0 13 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory Ameya Prabhu Vishal Batchu Rohit Gajawada Sri Aurobindo Munagala A. Namboodiri MQ 55 18 0 11 Apr 2018
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning K. Yu Chao Dong Liang Lin Chen Change Loy CLL OffRL 100 177 0 10 Apr 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 98 439 0 10 Apr 2018
Distribution-Aware Binarization of Neural Networks for Sketch Recognition Ameya Prabhu Vishal Batchu Sri Aurobindo Munagala Rohit Gajawada A. Namboodiri MQ 109 5 0 09 Apr 2018
Universal and Succinct Source Coding of Deep Neural Networks Sourya Basu Lav Varshney BDL 21 3 0 09 Apr 2018
Estimating Depth from RGB and Sparse Sensing Zhao Chen Vijay Badrinarayanan Gilad Drozdov Andrew Rabinovich MDE 3DV 76 109 0 08 Apr 2018