XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016

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

50 / 836 papers shown

Title
The Convolutional Tsetlin Machine Ole-Christoffer Granmo Sondre Glimsdal Lei Jiao M. G. Olsen C. Omlin G. T. Berge 14 80 0 23 May 2019
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices Mario Almeida Stefanos Laskaridis Ilias Leontiadis Stylianos I. Venieris Nicholas D. Lane 24 73 0 17 May 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 27 847 0 17 May 2019
Dynamic Neural Network Channel Execution for Efficient Training Simeon E. Spasov Pietro Lio 19 4 0 15 May 2019
Object Detection in 20 Years: A Survey Zhengxia Zou Keyan Chen Zhenwei Shi Yuhong Guo Jieping Ye VLM ObjD AI4TS 47 2,298 0 13 May 2019
Training CNNs with Selective Allocation of Channels Jongheon Jeong Jinwoo Shin CVBM 49 15 0 11 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri VLM 33 71 0 11 May 2019
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices Nilay Shrivastava Astitwa Saxena Yaman Kumar Singla Preeti Kaur Debanjan Mahata R. Shah 32 3 0 10 May 2019
High Frequency Residual Learning for Multi-Scale Image Classification Bowen Cheng Rong Xiao Jianfeng Wang Thomas Huang Lei Zhang 34 21 0 07 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 158 6,652 0 06 May 2019
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM Sheng Lin Xiaolong Ma Shaokai Ye Geng Yuan Kaisheng Ma Yanzhi Wang MQ 38 10 0 02 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 27 170 0 28 Apr 2019
SWALP : Stochastic Weight Averaging in Low-Precision Training Guandao Yang Tianyi Zhang Polina Kirichenko Junwen Bai A. Wilson Christopher De Sa 24 94 0 26 Apr 2019
CornerNet-Lite: Efficient Keypoint Based Object Detection Hei Law Yun Teng Olga Russakovsky Jia Deng 32 174 0 18 Apr 2019
End-to-End Learning of Representations for Asynchronous Event-Based Data Daniel Gehrig Antonio Loquercio Konstantinos G. Derpanis Davide Scaramuzza DRL AI4TS 42 330 0 17 Apr 2019
Low-Power Computer Vision: Status, Challenges, Opportunities S. Alyamkin M. Ardi Alexander C. Berg Achille Brighton Bo Chen ... George K. Thiruvathukal Baiwu Zhang Jingchi Zhang Xiaopeng Zhang Shaojie Zhuo 29 10 0 15 Apr 2019
ThumbNet: One Thumbnail Image Contains All You Need for Recognition Chen Zhao Guohao Li 24 10 0 10 Apr 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor Jean Kossaifi Adrian Bulat Georgios Tzimiropoulos Maja Pantic 27 67 0 04 Apr 2019
Resource Efficient 3D Convolutional Neural Networks Okan Kopuklu Neslihan Köse Ahmet Gunduz Gerhard Rigoll 27 187 0 04 Apr 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 30 1 0 03 Apr 2019
Learning Content-Weighted Deep Image Compression Mu Li W. Zuo Shuhang Gu J. You David C. Zhang 30 70 0 01 Apr 2019
Training Quantized Neural Networks with a Full-precision Auxiliary Module Bohan Zhuang Lingqiao Liu Mingkui Tan Chunhua Shen Ian Reid MQ 40 62 0 27 Mar 2019
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM Shaokai Ye Xiaoyu Feng Tianyun Zhang Xiaolong Ma Sheng Lin ... Jian Tang M. Fardad Xinyu Lin Yongpan Liu Yanzhi Wang MQ 43 38 0 23 Mar 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning Shaohui Lin Rongrong Ji Chenqian Yan Baochang Zhang Liujuan Cao QiXiang Ye Feiyue Huang David Doermann CVBM 22 505 0 22 Mar 2019
Deep Learning on Mobile Devices - A Review Yunbin Deng 27 120 0 21 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification Weijie Chen Di Xie Yuan Zhang Shiliang Pu 30 80 0 13 Mar 2019
Real-Time Boiler Control Optimization with Machine Learning Yukun Ding Yiyu Shi AI4CE 42 1 0 07 Mar 2019
Learning low-precision neural networks without Straight-Through Estimator(STE) Z. G. Liu Matthew Mattina MQ 32 35 0 04 Mar 2019
Modulated binary cliquenet Jinpeng Xia Jiasong Wu Youyong Kong Pinzheng Zhang L. Senhadji H. Shu MQ 28 0 0 27 Feb 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference M. Riazi Mohammad Samragh Hao Chen Kim Laine Kristin E. Lauter F. Koushanfar FedML GNN BDL 31 280 0 19 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference Yoni Choukroun Eli Kravchik Fan Yang P. Kisilev MQ 33 357 0 18 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou Feng Guo Lantao Liu Minje Kim Lei Jiang MQ 27 97 0 15 Feb 2019
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing G. Srinivasan Kaushik Roy 33 61 0 11 Feb 2019
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks Priyadarshini Panda I. Chakraborty Kaushik Roy AAML 25 40 0 08 Feb 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 43 43 0 04 Feb 2019
Self-Binarizing Networks Fayez Lahoud R. Achanta Pablo Márquez-Neila Sabine Süsstrunk MQ 19 23 0 02 Feb 2019
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge I. Chakraborty Deboleena Roy Aayush Ankit Kaushik Roy GNN MQ 30 13 0 01 Feb 2019
Convolutional Neural Networks with Layer Reuse Okan Kopuklu M. Babaee S. Hörmann Gerhard Rigoll 21 17 0 28 Jan 2019
QGAN: Quantized Generative Adversarial Networks Peiqi Wang Dongsheng Wang Yu Ji Xinfeng Xie Haoxuan Song XuXin Liu Yongqiang Lyu Yuan Xie GAN MQ 26 32 0 24 Jan 2019
Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning Shaohui Lin Rongrong Ji Yuchao Li Cheng Deng Xuelong Li 41 70 0 23 Jan 2019
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks Mouloud Belbahri Eyyub Sari Sajad Darabi V. Nia MQ 21 1 0 18 Jan 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs Mohammad Samragh Mojan Javaheripi F. Koushanfar 38 11 0 17 Jan 2019
Collaborative Execution of Deep Neural Networks on Internet of Things Devices Ramyad Hadidi Jiashen Cao Michael S. Ryoo Hyesoon Kim 23 19 0 08 Jan 2019
DSConv: Efficient Convolution Operator Marcelo Gennari Roger Fawcett V. Prisacariu MQ 32 62 0 07 Jan 2019
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks Xue Geng Jie Fu Bin Zhao Jie Lin M. Aly C. Pal V. Chandrasekhar MQ 24 5 0 04 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 41 374 0 01 Jan 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers Ao Ren Tianyun Zhang Shaokai Ye Jiayu Li Wenyao Xu Xuehai Qian Xinyu Lin Yanzhi Wang MQ 42 161 0 31 Dec 2018
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran 3DPC 36 31 0 26 Dec 2018
Precision Highway for Ultra Low-Precision Quantization Eunhyeok Park Dongyoung Kim S. Yoo Peter Vajda MQ AI4TS 30 12 0 24 Dec 2018
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 27 27 0 18 Dec 2018