DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

20 June 2016

Shuchang Zhou

Papers citing "DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients"

50 / 444 papers shown

Title
Dense xUnit Networks I. Kligvasser T. Michaeli 24 3 0 27 Nov 2018
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware Natan Liss Chaim Baskin A. Mendelson A. Bronstein Raja Giryes MQ 29 5 0 27 Nov 2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 20 187 0 24 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 27 152 0 22 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision Kuan-Chieh Wang Zhijian Liu Chengyue Wu Ji Lin Song Han MQ 71 872 0 21 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 40 14 0 14 Nov 2018
Quantization for Rapid Deployment of Deep Neural Networks J. Lee Sangwon Ha Saerom Choi Won-Jo Lee Seungwon Lee MQ 14 48 0 12 Oct 2018
Training Deep Neural Network in Limited Precision Hyunsun Park J. Lee Youngmin Oh Sangwon Ha Seungwon Lee 19 9 0 12 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 24 147 0 08 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 30 31 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 41 132 0 03 Oct 2018
Post-training 4-bit quantization of convolution networks for rapid-deployment Ron Banner Yury Nahshan Elad Hoffer Daniel Soudry MQ 19 93 0 02 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 16 66 0 02 Oct 2018
ProxQuant: Quantized Neural Networks via Proximal Operators Yu Bai Yu Wang Edo Liberty MQ 24 117 0 01 Oct 2018
Learning Recurrent Binary/Ternary Weights A. Ardakani Zhengyun Ji S. C. Smithson B. Meyer W. Gross MQ 22 27 0 28 Sep 2018
Learning to Train a Binary Neural Network Joseph Bethge Haojin Yang Christian Bartz Christoph Meinel MQ 17 12 0 27 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 31 123 0 10 Sep 2018
Don't Use Large Mini-Batches, Use Local SGD Tao R. Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi 62 429 0 22 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
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 49 61 0 15 Aug 2018
Hierarchical binary CNNs for landmark localization with limited resources Adrian Bulat Georgios Tzimiropoulos CVBM 3DV 23 36 0 14 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 34 232 0 13 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 13 14 0 08 Aug 2018
Quantized Densely Connected U-Nets for Efficient Landmark Localization Zhiqiang Tang Xi Peng Shijie Geng Lingfei Wu Shaoting Zhang Dimitris N. Metaxas 3DV 19 143 0 07 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wen Liu K. Cheng MQ 51 550 0 01 Aug 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA Junsong Wang Qiuwen Lou Xiaofan Zhang Chao Zhu Yonghua Lin Deming Chen MQ 36 93 0 31 Jul 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition Zhan Yang Osolo Ian Raymond Chengyuan Zhang Ying Wan J. Long CVBM 47 36 0 31 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 23 697 0 26 Jul 2018
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He Boqing Gong Deliang Fan 21 22 0 20 Jul 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN) Jungwook Choi P. Chuang Zhuo Wang Swagath Venkataramani Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 19 75 0 17 Jul 2018
Deep Learning for Semantic Segmentation on Minimal Hardware S. V. Dijk Marcus M. Scheunemann SSeg 26 20 0 15 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 19 72 0 11 Jul 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 37 108 0 09 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 34 18 0 03 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 33 133 0 01 Jul 2018
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic Michaela Blott Thomas B. Preußer Nicholas J. Fraser Giulio Gambardella Kenneth O'Brien Yaman Umuroglu M. Leeser 17 9 0 26 Jun 2018
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization Jiaxiang Wu Weidong Huang Junzhou Huang Tong Zhang 24 235 0 21 Jun 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 32 135 0 20 Jun 2018
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks Ke Sun Mingjie Li Dong Liu Jingdong Wang 48 126 0 01 Jun 2018
Retraining-Based Iterative Weight Quantization for Deep Neural Networks Dongsoo Lee Byeongwook Kim MQ 36 16 0 29 May 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 25 51 0 28 May 2018
Accelerating CNN inference on FPGAs: A Survey K. Abdelouahab Maxime Pelcat Jocelyn Serot F. Berry AI4CE 30 147 0 26 May 2018
Scalable Methods for 8-bit Training of Neural Networks Ron Banner Itay Hubara Elad Hoffer Daniel Soudry MQ 54 332 0 25 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks Jungwook Choi Zhuo Wang Swagath Venkataramani P. Chuang Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 13 941 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 39 61 0 14 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection Yi Wei Xinyu Pan Hongwei Qin Wanli Ouyang Junjie Yan ObjD 22 88 0 06 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 22 45 0 29 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 19 158 0 20 Apr 2018
IGCV $2$ : Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie Jingdong Wang Ting Zhang Jianhuang Lai Richang Hong Guo-Jun Qi 25 105 0 17 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory Ameya Prabhu Vishal Batchu Rohit Gajawada Sri Aurobindo Munagala A. Namboodiri MQ 33 18 0 11 Apr 2018