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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"

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Title
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 173 103 0 11 Nov 2021
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 76 5 0 10 Nov 2021
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LiMuSE: Lightweight Multi-modal Speaker Extraction Qinghua Liu Yating Huang Yunzhe Hao Jiaming Xu Bo Xu 105 6 0 07 Nov 2021
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family Roy Henha Eyono Fabio Maria Carlucci P. Esperança Binxin Ru Phillip Torr 74 3 0 05 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention S. Tan Runpei Dong Kaisheng Ma 96 2 0 03 Nov 2021
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Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk Naresh R Shanbhag AAML 65 7 0 28 Oct 2021
Characterizing and Taming Resolution in Convolutional Neural Networks Eddie Q. Yan Liang Luo Luis Ceze 60 1 0 28 Oct 2021
Binarized ResNet: Enabling Robust Automatic Modulation Classification at the resource-constrained Edge Deepsayan Sadhukhan N. Shankar Nancy Nayak¢Ó Thulasi Tholeti¢Ô Sheetal Kalyani¢Ó MQ 46 5 0 27 Oct 2021
How Important is Importance Sampling for Deep Budgeted Training? Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 130 8 0 27 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks Yang Sui Miao Yin Yi Xie Huy Phan S. Zonouz Bo Yuan VLM 135 134 0 26 Oct 2021
Defensive Tensorization Adrian Bulat Jean Kossaifi S. Bhattacharya Yannis Panagakis Timothy M. Hospedales Georgios Tzimiropoulos Nicholas D. Lane Maja Pantic AAML 42 4 0 26 Oct 2021
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Demystifying and Generalizing BinaryConnect Abhishek Sharma Yaoliang Yu Eyyub Sari Mahdi Zolnouri V. Nia MQ 81 9 0 25 Oct 2021
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Instance-Conditional Knowledge Distillation for Object Detection Zijian Kang Peizhen Zhang Xinming Zhang Jian Sun N. Zheng 107 79 0 25 Oct 2021
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks Jannis Kurtz B. Bah MQ 59 4 0 21 Oct 2021
PR-CIM: a Variation-Aware Binary-Neural-Network Framework for Process-Resilient Computation-in-memory Minh-Son Le Thi-Nhan Pham Thanh-Dat Nguyen I. Chang MQ 55 2 0 19 Oct 2021
Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang Yi Yang Gang Hua Anbang Yao MQ 67 15 0 18 Oct 2021
Finding Everything within Random Binary Networks Kartik K. Sreenivasan Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos 50 10 0 18 Oct 2021
Network Augmentation for Tiny Deep Learning Han Cai Chuang Gan Ji Lin Song Han 135 30 0 17 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning Dahyun Kim Jonghyun Choi SSL MQ 101 5 0 17 Oct 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements Dahyun Kim Kunal Pratap Singh Jonghyun Choi MQ 129 7 0 16 Oct 2021
Don't Knock! Rowhammer at the Backdoor of DNN Models M. Tol Saad Islam Andrew J. Adiletta B. Sunar Ziming Zhang AAML 94 19 0 14 Oct 2021
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization Weihan Chen Peisong Wang Jian Cheng MQ 95 69 0 13 Oct 2021
Improving Binary Neural Networks through Fully Utilizing Latent Weights Weixiang Xu Qiang Chen Xiangyu He Peisong Wang Jian Cheng MQ 74 6 0 12 Oct 2021
A comprehensive review of Binary Neural Network Chunyu Yuan S. Agaian MQ 135 104 0 11 Oct 2021
Partial Variable Training for Efficient On-Device Federated Learning Tien-Ju Yang Dhruv Guliani F. Beaufays Giovanni Motta FedML 58 25 0 11 Oct 2021
Towards Streaming Egocentric Action Anticipation Antonino Furnari G. Farinella EgoV 90 6 0 11 Oct 2021
Dynamic Binary Neural Network by learning channel-wise thresholds Jiehua Zhang Z. Su Yang Feng Xin Lu M. Pietikäinen Li Liu MQ 64 19 0 08 Oct 2021
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators Alexander Shekhovtsov MQ 100 5 0 07 Oct 2021
8-bit Optimizers via Block-wise Quantization Tim Dettmers M. Lewis Sam Shleifer Luke Zettlemoyer MQ 165 308 0 06 Oct 2021
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method Guhyun Kim D. Jeong MQ 89 2 0 06 Oct 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 75 33 0 05 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network Compression Hengling Zhao Yipeng Liu Xiaolin Huang Ce Zhu 83 6 0 30 Sep 2021
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition Marawan Gamal Abdel Hameed Marzieh S. Tahaei A. Mosleh V. Nia 97 26 0 29 Sep 2021
Consistency Training of Multi-exit Architectures for Sensor Data Aaqib Saeed 36 1 0 27 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks Yongcheng Jing Yiding Yang Xinchao Wang Xiuming Zhang Dacheng Tao 116 42 0 27 Sep 2021
Deep Structured Instance Graph for Distilling Object Detectors Yixin Chen Pengguang Chen Shu Liu Liwei Wang Jiaya Jia ObjD ISeg 69 12 0 27 Sep 2021
Distribution-sensitive Information Retention for Accurate Binary Neural Network Haotong Qin Xiangguo Zhang Ruihao Gong Yifu Ding Yi Xu Xianglong Liu MQ 76 98 0 25 Sep 2021
Towards practical object detection for weed spraying in precision agriculture A. Gomez Madeleine Darbyshire Junfeng Gao Elizabeth I. Sklar Simon Parsons 61 27 0 22 Sep 2021
Learning Versatile Convolution Filters for Efficient Visual Recognition Kai Han Yunhe Wang Chang Xu Chunjing Xu Enhua Wu Dacheng Tao 60 8 0 20 Sep 2021
HPTQ: Hardware-Friendly Post Training Quantization H. Habi Reuven Peretz Elad Cohen Lior Dikstein Oranit Dror I. Diamant Roy H. Jennings Arnon Netzer MQ 98 9 0 19 Sep 2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning Adarsh Kosta Malik Aqeel Anwar Priyadarshini Panda A. Raychowdhury Kaushik Roy 30 4 0 16 Sep 2021
OMPQ: Orthogonal Mixed Precision Quantization Yuexiao Ma Taisong Jin Xiawu Zheng Yan Wang Huixia Li Yongjian Wu Guannan Jiang Wei Zhang Rongrong Ji MQ 138 38 0 16 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 61 15 0 14 Sep 2021
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data Shikun Zhang Omid Jafari P. Nagarkar VLM 55 25 0 08 Sep 2021