BinaryConnect: Training Deep Neural Networks with binary weights during propagations

2 November 2015

Papers citing "BinaryConnect: Training Deep Neural Networks with binary weights during propagations"

50 / 501 papers shown

Title
Self-Binarizing Networks Fayez Lahoud R. Achanta Pablo Márquez-Neila Sabine Süsstrunk MQ 19 23 0 02 Feb 2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting Ritchie Zhao Yuwei Hu Jordan Dotzel Christopher De Sa Zhiru Zhang OODD MQ 50 305 0 28 Jan 2019
Decentralization of Multiagent Policies by Learning What to Communicate James Paulos Steven W. Chen Daigo Shishika Vijay Kumar 14 30 0 24 Jan 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 25 70 0 23 Jan 2019
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks Mouloud Belbahri Eyyub Sari Sajad Darabi V. Nia MQ 21 1 0 18 Jan 2019
Optimization Problems for Machine Learning: A Survey Claudio Gambella Bissan Ghaddar Joe Naoum-Sawaya AI4CE 30 178 0 16 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 32 62 0 07 Jan 2019
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 X. Lin Yanzhi Wang MQ 34 161 0 31 Dec 2018
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 27 27 0 18 Dec 2018
Proximal Mean-field for Neural Network Quantization Thalaiyasingam Ajanthan P. Dokania Richard I. Hartley Philip Torr MQ 38 20 0 11 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression Wei Wang Liqiang Zhu CVBM 20 13 0 10 Dec 2018
MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices C. Duong Kha Gia Quach Ibsa Jalata Nghia T. Nguyen Khoa Luu CVBM 3DH 33 58 0 27 Nov 2018
TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments Abdul Dakkak Cheng-rong Li Simon Garcia De Gonzalo Jinjun Xiong Wen-mei W. Hwu 21 19 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
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method Yu-xin Zhang Huan Wang Yang Luo Lu Yu Roland Hu Hangguan Shan Tony Q. S. Quek 3DPC 23 11 0 19 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks Miguel de Prado Maurizio Denna Luca Benini Nuria Pazos MQ 35 14 0 14 Nov 2018
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators Hang Lu Xin Wei Ning Lin Guihai Yan Xiaowei Li MQ 20 31 0 14 Nov 2018
Learning to Skip Ineffectual Recurrent Computations in LSTMs A. Ardakani Zhengyun Ji W. Gross 13 16 0 09 Nov 2018
Activation Functions: Comparison of trends in Practice and Research for Deep Learning S. Bodenstedt Dominik Rivoir A. Gachagan S. T. Mees 22 1,269 0 08 Nov 2018
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 33 177 0 08 Nov 2018
Convolutional Neural Network Quantization using Generalized Gamma Distribution Doyun Kim H. Yim Sanghyuck Ha Changgwun Lee Inyup Kang MQ 24 4 0 31 Oct 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data Fabian Boemer Yixing Lao Rosario Cammarota Casimir Wierzynski FedML 16 163 0 23 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM Shaokai Ye Tianyun Zhang Kaiqi Zhang Jiayu Li Kaidi Xu ... M. Fardad Sijia Liu Xiang Chen X. Lin Yanzhi Wang AI4CE 37 38 0 17 Oct 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
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA Cheng Fu Shilin Zhu Hao Su Ching-En Lee Jishen Zhao MQ 25 31 0 04 Oct 2018
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 36 131 0 03 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
MBS: Macroblock Scaling for CNN Model Reduction Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang MQ 16 4 0 18 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Bo-wen Li Yang Liu Jianjun Zhao Jianxiong Yin Simon See 43 40 0 04 Sep 2018
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL) Mojtaba Heidarysafa Kamran Kowsari Donald E. Brown K. Meimandi Laura E. Barnes 24 36 0 23 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 25 372 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 44 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 29 232 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
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 46 550 0 01 Aug 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 42 36 0 31 Jul 2018
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He Boqing Gong Deliang Fan 13 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 16 75 0 17 Jul 2018
A Hardware-Software Blueprint for Flexible Deep Learning Specialization T. Moreau Tianqi Chen Luis Vega Jared Roesch Eddie Q. Yan ... Josh Fromm Ziheng Jiang Luis Ceze Carlos Guestrin Arvind Krishnamurthy 26 70 0 11 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
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices Yu-hsin Chen Tien-Ju Yang J. Emer Vivienne Sze MQ 18 70 0 10 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 32 108 0 09 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 26 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
Automatic Rank Selection for High-Speed Convolutional Neural Network Hyeji Kim C. Kyung 27 5 0 28 Jun 2018
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables A. Choromańska Benjamin Cowen Yara Rizk Ronny Luss Mattia Rigotti ... Brian Kingsbury Paolo Diachille V. Gurev Ravi Tejwani Djallel Bouneffouf 24 52 0 24 Jun 2018
In-situ Stochastic Training of MTJ Crossbar based Neural Networks Ankit Mondal Ankur Srivastava MQ 14 12 0 24 Jun 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 48 994 0 21 Jun 2018