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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 / 1,731 papers shown

Title
Binary-decomposed DCNN for accelerating computation and compressing model without retraining Ryuji Kamiya Takayoshi Yamashita Mitsuru Ambai Ikuro Sato Yuji Yamauchi H. Fujiyoshi MQ 35 5 0 14 Sep 2017
Flexible Network Binarization with Layer-wise Priority He Wang Yi Tian Xu Bingbing Ni Hongteng Xu MQ 81 10 0 13 Sep 2017
Streamlined Deployment for Quantized Neural Networks Yaman Umuroglu Magnus Jahre MQ 82 36 0 12 Sep 2017
Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification Chong-Jun Wang Xipeng Lan Yang Zhang CVBM 101 26 0 09 Sep 2017
Embedded Binarized Neural Networks Bradley McDanel Surat Teerapittayanon H. T. Kung MQ 80 86 0 06 Sep 2017
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices Surat Teerapittayanon Bradley McDanel H. T. Kung FedML 116 720 0 06 Sep 2017
WRPN: Wide Reduced-Precision Networks Asit K. Mishra Eriko Nurvitadhi Jeffrey J. Cook Debbie Marr MQ 105 267 0 04 Sep 2017
Domain-adaptive deep network compression Marc Masana Joost van de Weijer Luis Herranz Andrew D. Bagdanov J. Álvarez 89 62 0 04 Sep 2017
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks Zheng Xu Yen-Chang Hsu Jiawei Huang GAN 106 12 0 02 Sep 2017
Performance Guaranteed Network Acceleration via High-Order Residual Quantization Zefan Li Bingbing Ni Wenjun Zhang Xiaokang Yang Wen Gao MQ 91 107 0 29 Aug 2017
Deep Learning Sparse Ternary Projections for Compressed Sensing of Images Duc Minh Nguyen Evaggelia Tsiligianni Nikos Deligiannis 39 27 0 28 Aug 2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection Zizhao Zhang Fuyong Xing H. Su Xiaoshuang Shi Ling Yang AAML 63 13 0 24 Aug 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 282 2,432 0 22 Aug 2017
Deep Neural Network Capacity Aosen Wang Huan Zhou Wenyao Xu Xin Chen 20 4 0 16 Aug 2017
BitNet: Bit-Regularized Deep Neural Networks Aswin Raghavan Mohamed R. Amer S. Chai Graham Taylor MQ 77 10 0 16 Aug 2017
Prune the Convolutional Neural Networks with Sparse Shrink Xuzhao Li Changsong Liu CVBM 28 4 0 08 Aug 2017
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization Yinpeng Dong Renkun Ni Jianguo Li Yurong Chen Jun Zhu Hang Su MQ 106 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 144 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 81 36 0 28 Jul 2017
Towards Evolutional Compression Yunhe Wang Chang Xu Jiayan Qiu Chao Xu Dacheng Tao 68 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 76 288 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 115 126 0 21 Jul 2017
Scalable Full Flow with Learned Binary Descriptors Gottfried Munda Alexander Shekhovtsov Patrick Knöbelreiter Thomas Pock 83 4 0 20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 440 2,541 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 63 24 0 15 Jul 2017
Ternary Residual Networks Abhisek Kundu K. Banerjee Naveen Mellempudi Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey 79 8 0 15 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part II: quantization M. A. Carreira-Perpiñán Yerlan Idelbayev MQ 79 37 0 13 Jul 2017
Simple Classification using Binary Data Deanna Needell Rayan Saab T. Woolf 20 15 0 06 Jul 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer Yuntao Chen Naiyan Wang Zhaoxiang Zhang FedML 141 225 0 05 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks Zehao Huang Naiyan Wang 142 563 0 05 Jul 2017
Model compression as constrained optimization, with application to neural nets. Part I: general framework Miguel Á. Carreira-Perpiñán MQ 56 32 0 05 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 472 6,941 0 04 Jul 2017
Structured Sparse Ternary Weight Coding of Deep Neural Networks for Efficient Hardware Implementations Yoonho Boo Wonyong Sung MQ 72 11 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 115 111 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 111 482 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 62 35 0 20 Jun 2017
An Entropy-based Pruning Method for CNN Compression Jian-Hao Luo Jianxin Wu 55 180 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 64 8 0 15 Jun 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 87 12 0 13 Jun 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks Denis A. Gudovskiy Luca Rigazio MQ 124 54 0 07 Jun 2017
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 121 211 0 07 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo Anbang Yao Hao Zhao Yurong Chen MQ 86 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 164 247 0 05 Jun 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 271 1,666 0 01 Jun 2017
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware Denis Kleyko E. P. Frady Mansour Kheffache Evgeny Osipov 110 37 0 01 Jun 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 181 1,827 0 30 May 2017
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet Haojin Yang Martin Fritzsche Christian Bartz Christoph Meinel MQ 69 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 117 20 0 25 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 258 481 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 240 994 0 22 May 2017