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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

50 / 1,765 papers shown

Title
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization Yinpeng Dong Renkun Ni Jianguo Li Yurong Chen Jun Zhu Hang Su MQ 183 62 0 03 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 302 37 0 31 Jul 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization Frederick Tung S. Muralidharan Greg Mori 117 36 0 28 Jul 2017
Towards Evolutional Compression Yunhe Wang Chang Xu Jiayan Qiu Chao Xu Dacheng Tao 84 14 0 25 Jul 2017
Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM Cong Leng Hao Li Shenghuo Zhu Rong Jin MQ 134 293 0 24 Jul 2017
What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification Lin Wu Yang Wang Xue Li Junbin Gao 160 127 0 21 Jul 2017
Scalable Full Flow with Learned Binary Descriptors Gottfried Munda Alexander Shekhovtsov Patrick Knöbelreiter Thomas Pock 118 4 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 568 2,645 0 19 Jul 2017
Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration Jeng-Hau Lin Tianwei Xing Ritchie Zhao Zhiru Zhang Mani B. Srivastava Zhuowen Tu Rajesh K. Gupta MQ 106 24 0 15 Jul 2017
Ternary Residual Networks Abhisek Kundu K. Banerjee Naveen Mellempudi Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey 107 9 0 15 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 123 39 0 13 Jul 2017
Simple Classification using Binary Data Deanna Needell Rayan Saab T. Woolf 53 15 0 06 Jul 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer Yuntao Chen Naiyan Wang Zhaoxiang Zhang FedML 164 231 0 05 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 247 595 0 05 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part I: general framework Miguel Á. Carreira-Perpiñán MQ 80 34 0 05 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 566 7,652 0 04 Jul 2017
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations Yoonho Boo Wonyong Sung MQ 100 12 0 01 Jul 2017
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks Shuchang Zhou Yuzhi Wang He Wen Qinyao He Yuheng Zou MQ 153 113 0 22 Jun 2017
Deep Learning Methods for Improved Decoding of Linear Codes Eliya Nachmani Elad Marciano Loren Lugosch W. Gross D. Burshtein Yair Be’ery 192 507 0 21 Jun 2017
Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer Nicolás Cruz Kenzo Lobos-Tsunekawa Javier Ruiz-del-Solar 84 36 0 20 Jun 2017
An Entropy-based Pruning Method for CNN Compression Jian-Hao Luo Jianxin Wu 66 193 0 19 Jun 2017
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks H. Elsayed Bruno U. Pedroni Sadique Sheik Gert Cauwenberghs 71 8 0 15 Jun 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 119 12 0 13 Jun 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks Denis A. Gudovskiy Luca Rigazio MQ 157 56 0 07 Jun 2017
Training Quantized Nets: A Deeper UnderstandingNeural Information Processing Systems (NeurIPS), 2017 Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 215 220 0 07 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNsComputer Vision and Pattern Recognition (CVPR), 2017 Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 132 98 0 07 Jun 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature MapsIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017 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 211 253 0 05 Jun 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 404 1,807 0 01 Jun 2017
Integer Echo State Networks: Efficient Reservoir Computing for Digital HardwareIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017 Denis Kleyko E. P. Frady Mansour Kheffache Evgeny Osipov 174 38 0 01 Jun 2017
Federated Multi-Task LearningNeural Information Processing Systems (NeurIPS), 2017 Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 420 1,964 0 30 May 2017
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet Haojin Yang Martin Fritzsche Christian Bartz Christoph Meinel MQ 89 63 0 27 May 2017
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework Lei Deng Peng Jiao Jing Pei Zhenzhi Wu Guoqi Li MQ 202 20 0 25 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 454 489 0 24 May 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 333 1,022 0 22 May 2017
Structural Compression of Convolutional Neural Networks R. Abbasi-Asl Bin Yu 88 17 0 20 May 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise Kirill Neklyudov Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 203 191 0 20 May 2017
The High-Dimensional Geometry of Binary Neural Networks Alexander G. Anderson C. P. Berg MQ 132 78 0 19 May 2017
Espresso: Efficient Forward Propagation for BCNNs Fabrizio Pedersoli George Tzanetakis Andrea Tagliasacchi MQ 53 13 0 19 May 2017
Ternary Neural Networks with Fine-Grained Quantization Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey MQ 203 112 0 02 May 2017
A Study of Deep Learning Robustness Against Computation Failures Jean-Charles Vialatte François Leduc-Primeau 62 14 0 18 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.3K 22,863 0 17 Apr 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 138 52 0 14 Apr 2017
Pyramid Vector Quantization for Deep Learning Vincenzo Liguori MQ 35 2 0 10 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 206 509 0 03 Apr 2017
Learning Convolutional Networks for Content-weighted Image Compression Mu Li W. Zuo Shuhang Gu Debin Zhao David C. Zhang 150 407 0 30 Mar 2017
Towards thinner convolutional neural networks through Gradually Global Pruning Z. Wang Ce Zhu Zhiqiang Xia Qi Guo Yipeng Liu CVBM 74 4 0 29 Mar 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang Danlu Chen Tianhong Li Felix Wu Laurens van der Maaten Kilian Q. Weinberger VLM 170 145 0 29 Mar 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 196 3,263 0 27 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity Xuanyi Dong Junshi Huang Yi Yang Shuicheng Yan 119 297 0 25 Mar 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision Amr Suleiman Yu-hsin Chen J. Emer Vivienne Sze 82 57 0 17 Mar 2017