Binary Neural Networks: A Survey

31 March 2020

Xianglong Liu

Jingkuan Song

Papers citing "Binary Neural Networks: A Survey"

33 / 83 papers shown

Title
Training Quantized Nets: A Deeper Understanding Hao Li Soham De Zheng Xu Christoph Studer H. Samet Tom Goldstein MQ 31 210 0 07 Jun 2017
BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet Haojin Yang Martin Fritzsche Christian Bartz Christoph Meinel MQ 22 61 0 27 May 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 1.0K 20,692 0 17 Apr 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 372 1,050 0 10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 88 504 0 03 Feb 2017
Scaling Binarized Neural Networks on Reconfigurable Logic Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 34 57 0 12 Jan 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 83 2,561 0 12 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre K. Vissers MQ 73 988 0 01 Dec 2016
Loss-aware Binarization of Deep Networks Lu Hou Quanming Yao James T. Kwok MQ 46 220 0 05 Nov 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou MQ 87 2,080 0 20 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 120 4,342 0 16 Mar 2016
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification Keiller Nogueira O. A. B. Penatti J. A. dos Santos 39 831 0 04 Feb 2016
Bitwise Neural Networks Minje Kim Paris Smaragdis MQ 42 217 0 22 Jan 2016
Quantized Convolutional Neural Networks for Mobile Devices Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng MQ 51 1,162 0 21 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 961 192,638 0 10 Dec 2015
SSD: Single Shot MultiBox Detector Wen Liu Dragomir Anguelov D. Erhan Christian Szegedy Scott E. Reed Cheng-Yang Fu Alexander C. Berg ObjD BDL 106 29,646 0 08 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 96 2,976 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 166 8,793 0 01 Oct 2015
Data-free parameter pruning for Deep Neural Networks Suraj Srinivas R. Venkatesh Babu 3DPC 47 545 0 22 Jul 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 167 6,628 0 08 Jun 2015
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 81 448 0 08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 341 61,900 0 04 Jun 2015
Fast R-CNN Ross B. Girshick ObjD 232 24,933 0 30 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 98 19,448 0 09 Mar 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 77 2,041 0 09 Feb 2015
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition V. Lebedev Yaroslav Ganin M. Rakhuba Ivan Oseledets Victor Lempitsky 35 879 0 19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 54 1,168 0 18 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 214 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 619 99,991 0 04 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 110 1,458 0 15 May 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 146 43,290 0 01 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 81 1,682 0 02 Apr 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 262 3,099 0 15 Aug 2013