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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
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 162 126 0 10 Sep 2018
Accelerating Deep Neural Networks with Spatial Bottleneck Modules Junran Peng Lingxi Xie Zhaoxiang Zhang Tieniu Tan Jingdong Wang 74 9 0 07 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy Chuhan Min Aosen Wang Yiran Chen Wenyao Xu Xin Chen 83 41 0 06 Sep 2018
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions Hongyang Gao Zhengyang Wang Shuiwang Ji 66 70 0 05 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Yue Liu Yang Liu Jianjun Zhao Jianxiong Yin Simon See 116 41 0 04 Sep 2018
Learning Sparse Low-Precision Neural Networks With Learnable Regularization Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 82 31 0 01 Sep 2018
An Overview of Datatype Quantization Techniques for Convolutional Neural Networks A. Athar BDL MQ 28 0 0 22 Aug 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Yang He Xuanyi Dong Guoliang Kang Yanwei Fu C. Yan Yi Yang 144 135 0 22 Aug 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss S. Jung Changyong Son Seohyung Lee JinWoo Son Youngjun Kwak Jae-Joon Han Sung Ju Hwang Changkyu Choi MQ 108 376 0 17 Aug 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions Jianbo Guo Yuxi Li Weiyao Lin Yurong Chen Jianguo Li 3DV OOD 72 86 0 16 Aug 2018
DNN Feature Map Compression using Learned Representation over GF(2) Denis A. Gudovskiy Alec Hodgkinson Luca Rigazio 59 18 0 15 Aug 2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks Penghang Yin Shuai Zhang J. Lyu Stanley Osher Y. Qi Jack Xin MQ 126 62 0 15 Aug 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 94 26 0 15 Aug 2018
Hierarchical binary CNNs for landmark localization with limited resources Adrian Bulat Georgios Tzimiropoulos CVBM 3DV 61 36 0 14 Aug 2018
Rank-1 Convolutional Neural Network Hyein Kim Jungho Yoon Byeongseon Jeong Sukho Lee 3DPC 3DV 18 2 0 13 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 125 236 0 13 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision Activations Bohan Zhuang Chunhua Shen Ian Reid MQ 55 14 0 08 Aug 2018
Quantized Densely Connected U-Nets for Efficient Landmark Localization Zhiqiang Tang Xi Peng Shijie Geng Lingfei Wu Shaoting Zhang Dimitris N. Metaxas 3DV 91 142 0 07 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm Zechun Liu Baoyuan Wu Wenhan Luo Xin Yang Wen Liu K. Cheng MQ 169 559 0 01 Aug 2018
Binarized Convolutional Neural Networks for Efficient Inference on GPUs Mir Khan H. Huttunen Jani Boutellier BDL MQ 32 5 0 01 Aug 2018
Universal Approximation with Quadratic Deep Networks Fenglei Fan Jinjun Xiong Ge Wang PINN 153 83 0 31 Jul 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA Junsong Wang Qiuwen Lou Xiaofan Zhang Chao Zhu Yonghua Lin Deming Chen MQ 94 93 0 31 Jul 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition Zhan Yang Osolo Ian Raymond Chengyuan Zhang Ying Wan J. Long CVBM 81 36 0 31 Jul 2018
Robust Student Network Learning Tianyu Guo Chang Xu Shiyi He Boxin Shi Chao Xu Dacheng Tao OOD 106 30 0 30 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks Dongqing Zhang Jiaolong Yang Dongqiangzi Ye G. Hua MQ 120 705 0 26 Jul 2018
NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference M. Nazemi Ghasem Pasandi Massoud Pedram 49 21 0 23 Jul 2018
Recent Advances in Convolutional Neural Network Acceleration Qianru Zhang Meng Zhang Tinghuan Chen Zhifei Sun Yuzhe Ma Bei Yu 93 352 0 23 Jul 2018
Filter Distillation for Network Compression Xavier Suau Luca Zappella N. Apostoloff 57 38 0 20 Jul 2018
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy Zhezhi He Boqing Gong Deliang Fan 57 22 0 20 Jul 2018
DroNet: Efficient convolutional neural network detector for real-time UAV applications C. Kyrkou George Plastiras Stylianos I. Venieris T. Theocharides C. Bouganis 127 126 0 18 Jul 2018
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions Adnan Siraj Rakin Jinfeng Yi Boqing Gong Deliang Fan AAML MQ 90 50 0 18 Jul 2018
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN) Jungwook Choi P. Chuang Zhuo Wang Swagath Venkataramani Vijayalakshmi Srinivasan K. Gopalakrishnan MQ 83 76 0 17 Jul 2018
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic Jiang Su Nicholas J. Fraser Giulio Gambardella Michaela Blott Gianluca Durelli David B. Thomas Philip H. W. Leong P. Cheung MQ 50 23 0 17 Jul 2018
BRIEF: Backward Reduction of CNNs with Information Flow Analysis Yu-Hsun Lin Chun-Nan Chou Edward Y. Chang 45 0 0 16 Jul 2018
Deep Learning for Semantic Segmentation on Minimal Hardware S. V. Dijk Marcus M. Scheunemann SSeg 42 20 0 15 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 136 72 0 11 Jul 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 83 110 0 09 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 98 1 0 08 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 101 18 0 03 Jul 2018
Deepcode: Feedback Codes via Deep Learning Hyeji Kim Yihan Jiang Sreeram Kannan Sewoong Oh Pramod Viswanath 73 145 0 02 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong MQ 118 133 0 01 Jul 2018
The Challenge of Multi-Operand Adders in CNNs on FPGAs: How not to solve it! K. Abdelouahab F. Berry Maxime Pelcat 23 13 0 30 Jun 2018
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic Michaela Blott Thomas B. Preußer Nicholas J. Fraser Giulio Gambardella Kenneth O'Brien Yaman Umuroglu M. Leeser 54 9 0 26 Jun 2018
In-situ Stochastic Training of MTJ Crossbar based Neural Networks Ankit Mondal Ankur Srivastava MQ 33 12 0 24 Jun 2018
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices Thomas B. Preußer Giulio Gambardella Nicholas J. Fraser Michaela Blott MQ 70 41 0 21 Jun 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Shilin Zhu Xin Dong Hao Su MQ 125 138 0 20 Jun 2018
Deep Learning Approximation: Zero-Shot Neural Network Speedup Michele Pratusevich 44 0 0 15 Jun 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression Kohei Yamamoto K. Maeno 89 33 0 14 Jun 2018
Reservoir Computing Hardware with Cellular Automata Alejandro Morán Christiam F. Frasser J. Rosselló 60 11 0 13 Jun 2018
Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs Philip Colangelo Nasibeh Nasiri Asit K. Mishra Eriko Nurvitadhi M. Margala Kevin Nealis MQ 35 1 0 12 Jun 2018