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"

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Title
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 36 231 0 01 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks Yu Cheng Duo Wang Pan Zhou Zhang Tao 40 1,087 0 23 Oct 2017
Learning Discrete Weights Using the Local Reparameterization Trick Oran Shayer Dan Levi Ethan Fetaya 21 88 0 21 Oct 2017
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 90 1,767 0 10 Oct 2017
Connectivity Learning in Multi-Branch Networks Karim Ahmed Lorenzo Torresani 24 26 0 27 Sep 2017
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 36 10 0 13 Sep 2017
WRPN: Wide Reduced-Precision Networks Asit K. Mishra Eriko Nurvitadhi Jeffrey J. Cook Debbie Marr MQ 39 266 0 04 Sep 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 38 10 0 16 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 42 35 0 31 Jul 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization Frederick Tung S. Muralidharan Greg Mori 32 35 0 28 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 25 37 0 13 Jul 2017
Temporally Efficient Deep Learning with Spikes Peter O'Connor E. Gavves Max Welling 29 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 88 243 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 18 13 0 19 May 2017
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips Antonio Jimeno Yepes Jianbin Tang B. Mashford 14 14 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 44 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 21 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 26 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 29 191 0 02 Mar 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 32 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 50 503 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 21 117 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 59 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 54 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 23 163 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 Zhang Junchi Yan MQ 38 521 0 16 May 2016