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
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 23 37 0 13 Jul 2017
Temporally Efficient Deep Learning with Spikes Peter O'Connor E. Gavves Max Welling 26 28 0 13 Jun 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 30 12 0 13 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 37 95 0 07 Jun 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps Alessandro Aimar Hesham Mostafa Enrico Calabrese A. Rios-Navarro Ricardo Tapiador-Morales ... Moritz B. Milde Federico Corradi A. Linares-Barranco Shih-Chii Liu T. Delbruck 82 243 0 05 Jun 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 23 479 0 24 May 2017
Compressing Recurrent Neural Network with Tensor Train Andros Tjandra S. Sakti Satoshi Nakamura 31 109 0 23 May 2017
Espresso: Efficient Forward Propagation for BCNNs Fabrizio Pedersoli George Tzanetakis Andrea Tagliasacchi MQ 15 13 0 19 May 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 25 51 0 14 Apr 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption Ryo Yonetani Vishnu Boddeti Kris Kitani Yoichi Sato PICV FedML 36 67 0 07 Apr 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 24 480 0 03 Apr 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 26 288 0 25 Mar 2017
Low Precision Neural Networks using Subband Decomposition S. Chai Aswin Raghavan David C. Zhang Mohamed R. Amer Timothy J. Shields 16 2 0 24 Mar 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision Amr Suleiman Yu-hsin Chen J. Emer Vivienne Sze 24 56 0 17 Mar 2017
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources Adrian Bulat Georgios Tzimiropoulos CVBM 3DV 26 191 0 02 Mar 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 26 34 0 27 Feb 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 50 502 0 03 Feb 2017
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices Wenjia Meng Zonghua Gu Ming Zhang Zhaohui Wu 26 36 0 02 Jan 2017
Hardware for Machine Learning: Challenges and Opportunities Vivienne Sze Yu-hsin Chen Joel S. Einer Amr Suleiman Zhengdong Zhang 22 77 0 22 Dec 2016
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics Francesco Conti R. Schilling Pasquale Davide Schiavone A. Pullini D. Rossi ... Michael Gautschi Igor Loi Germain Haugou Stefan Mangard Luca Benini 18 117 0 18 Dec 2016
Towards the Limit of Network Quantization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 22 191 0 05 Dec 2016
Trained Ternary Quantization Chenzhuo Zhu Song Han Huizi Mao W. Dally MQ 57 1,035 0 04 Dec 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 13 89 0 20 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks A. Ardakani C. Condo W. Gross 33 40 0 04 Nov 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning S. Anwar Wonyong Sung 3DPC 23 55 0 30 Oct 2016
Bit-pragmatic Deep Neural Network Computing Jorge Albericio Patrick Judd A. Delmas Sayeh Sharify Andreas Moshovos MQ 32 239 0 20 Oct 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 45 1,846 0 22 Sep 2016
Hierarchical Multiscale Recurrent Neural Networks Junyoung Chung Sungjin Ahn Yoshua Bengio BDL 40 534 0 06 Sep 2016
Ternary Neural Networks for Resource-Efficient AI Applications Hande Alemdar V. Leroy Adrien Prost-Boucle F. Pétrot 24 204 0 01 Sep 2016
Local Binary Convolutional Neural Networks Felix Juefei Xu Vishnu Boddeti Marios Savvides MQ 32 251 0 22 Aug 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing Michael Iliadis L. Spinoulas Aggelos K. Katsaggelos 34 74 0 12 Jul 2016
Group Sparse Regularization for Deep Neural Networks Simone Scardapane Danilo Comminiello Amir Hussain A. Uncini 24 462 0 02 Jul 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration Renzo Andri Lukas Cavigelli D. Rossi Luca Benini 23 196 0 17 Jun 2016
Structured Convolution Matrices for Energy-efficient Deep learning R. Appuswamy T. Nayak John V. Arthur S. K. Esser P. Merolla J. McKinstry T. Melano M. Flickner D. Modha 38 11 0 08 Jun 2016
Deep neural networks are robust to weight binarization and other non-linear distortions P. Merolla R. Appuswamy John V. Arthur S. K. Esser D. Modha OOD MQ 25 96 0 07 Jun 2016
Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes Carlo Baldassi C. Borgs J. Chayes Alessandro Ingrosso C. Lucibello Luca Saglietti R. Zecchina 15 163 0 20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks Philipp Gysel 29 127 0 20 May 2016
Ternary Weight Networks Fengfu Li Bin Liu Xiaoxing Wang Bo-Wen Zhang Junchi Yan MQ 38 521 0 16 May 2016
Deep Neural Networks Under Stress Micael Carvalho Matthieu Cord Sandra Avila Nicolas Thome Eduardo Valle 28 14 0 11 May 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 25 715 0 28 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 54 4,332 0 16 Mar 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 58 1,350 0 08 Feb 2016
Online Batch Selection for Faster Training of Neural Networks I. Loshchilov Frank Hutter ODL 37 298 0 19 Nov 2015
Adjustable Bounded Rectifiers: Towards Deep Binary Representations Zhirong Wu Dahua Lin Xiaoou Tang MQ 16 14 0 19 Nov 2015
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 33 667 0 19 Nov 2015
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets Patrick Judd Jorge Albericio Tayler H. Hetherington Tor M. Aamodt Natalie D. Enright Jerger R. Urtasun Andreas Moshovos 26 100 0 17 Nov 2015
Neural Networks with Few Multiplications Zhouhan Lin Matthieu Courbariaux Roland Memisevic Yoshua Bengio 20 331 0 11 Oct 2015
Compressing Convolutional Neural Networks Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 26 139 0 14 Jun 2015
Computational Cost Reduction in Learned Transform Classifications E. Machado C. Miosso R. V. Borries Murilo Coutinho P. Berger Thiago Marques R. Jacobi 38 3 0 26 Apr 2015