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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
Conditional Generative Data-free Knowledge DistillationImage and Vision Computing (IVC), 2021 Xinyi Yu Ling Yan Yang Yang Libo Zhou Linlin Ou 200 8 0 31 Dec 2021
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2021 Runpei Dong Zhanhong Tan Mengdi Wu Linfeng Zhang Kaisheng Ma MQ 306 14 0 30 Dec 2021
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level TechniquesACM Computing Surveys (CSUR), 2021 JunKyu Lee L. Mukhanov A. S. Molahosseini U. Minhas Yang Hua Jesus Martinez del Rincon K. Dichev Cheol-Ho Hong Hans Vandierendonck 129 35 0 30 Dec 2021
Automatic Mixed-Precision Quantization Search of BERTInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Changsheng Zhao Ting Hua Yilin Shen Qian Lou Hongxia Jin MQ 103 24 0 30 Dec 2021
Repairing Adversarial Texts through PerturbationTheoretical Aspects of Software Engineering (TASE), 2021 Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 98 2 0 29 Dec 2021
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from ScratchDesign, Automation and Test in Europe (DATE), 2021 Souvik Kundu Shikai Wang Qirui Sun Peter A. Beerel Massoud Pedram MQ 123 19 0 24 Dec 2021
Training Quantized Deep Neural Networks via Cooperative CoevolutionInternational Conference on Swarm Intelligence (ICSI), 2021 Fu Peng Shengcai Liu Ning Lu Ke Tang MQ 157 2 0 23 Dec 2021
Accurate Neural Training with 4-bit Matrix Multiplications at Standard FormatsInternational Conference on Learning Representations (ICLR), 2021 Brian Chmiel Ron Banner Elad Hoffer Hilla Ben Yaacov Daniel Soudry MQ 249 28 0 19 Dec 2021
Elastic-Link for Binarized Neural NetworkAAAI Conference on Artificial Intelligence (AAAI), 2021 Jie Hu Ziheng Wu Vince Tan Zhilin Lu Mengze Zeng Enhua Wu MQ 141 6 0 19 Dec 2021
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network Nathan Hubens M. Mancas B. Gosselin Marius Preda T. Zaharia VLM CVBM 75 8 0 15 Dec 2021
Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators Lennart Bamberg Arash Pourtaherian Luc Waeijen A. Chahar Orlando Moreira 136 5 0 13 Dec 2021
Neural Network Quantization for Efficient Inference: A Survey Olivia Weng MQ 111 34 0 08 Dec 2021
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2021 Huu Le R. Høier Che-Tsung Lin Christopher Zach 134 19 0 06 Dec 2021
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights StatisticsIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021 Prasen Kumar Sharma Arun Abraham V. N. Rajendiran MQ 192 9 0 06 Dec 2021
Finding Deviated Behaviors of the Compressed DNN Models for Image ClassificationsACM Transactions on Software Engineering and Methodology (TOSEM), 2021 Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 161 8 0 06 Dec 2021
Equal Bits: Enforcing Equally Distributed Binary Network Weights Yun-qiang Li S. Pintea Jan van Gemert MQ 164 15 0 02 Dec 2021
Event Neural Networks Matthew Dutson Yin Li M. Gupta 155 10 0 02 Dec 2021
Information Theoretic Representation Distillation Roy Miles Adrian Lopez-Rodriguez K. Mikolajczyk MQ 240 26 0 01 Dec 2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology Zhehui Wang Yaoyu Zhang Rick Siow Mong Goh Wei Zhang Weng-Fai Wong 123 1 0 01 Dec 2021
PokeBNN: A Binary Pursuit of Lightweight Accuracy Yichi Zhang Zhiru Zhang Lukasz Lew MQ 196 72 0 30 Nov 2021
A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank Moonjung Eo Suhyun Kang Wonjong Rhee 143 2 0 30 Nov 2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation Zechun Liu Kwang-Ting Cheng Dong Huang Eric P. Xing Zhiqiang Shen MQ 201 133 0 29 Nov 2021
Mixed Precision Low-bit Quantization of Neural Network Language Models for Speech RecognitionIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2021 Junhao Xu Jianwei Yu Shoukang Hu Xunying Liu Helen Meng MQ 159 18 0 29 Nov 2021
Mixed Precision DNN Qunatization for Overlapped Speech Separation and RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Junhao Xu Jianwei Yu Xunying Liu Helen Meng MQ 69 12 0 29 Nov 2021
Mixed Precision of Quantization of Transformer Language Models for Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Junhao Xu Shoukang Hu Jianwei Yu Xunying Liu Helen M. Meng MQ 159 19 0 29 Nov 2021
Low-bit Quantization of Recurrent Neural Network Language Models Using Alternating Direction Methods of MultipliersIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020 Junhao Xu Xie Chen Shoukang Hu Jianwei Yu Xunying Liu Helen Meng MQ 73 9 0 29 Nov 2021
Improved Knowledge Distillation via Adversarial Collaboration Zhiqiang Liu Chengkai Huang Yanxia Liu 99 4 0 29 Nov 2021
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud ProcessingBritish Machine Vision Conference (BMVC), 2021 Sheng Xu Yanjing Li Junhe Zhao Baochang Zhang Guodong Guo 3DPC 106 9 0 26 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks Jing Liu Jianfei Cai Bohan Zhuang MQ 304 27 0 24 Nov 2021
Mesa: A Memory-saving Training Framework for Transformers Zizheng Pan Peng Chen Haoyu He Jing Liu Jianfei Cai Bohan Zhuang 148 25 0 22 Nov 2021
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural NetworksJournal of Intelligent and Robotic Systems (JIRS), 2021 Jian Sun A. P. Fard Mohammad H. Mahoor 3DPC 191 8 0 21 Nov 2021
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression Yuezhou Sun Wenlong Zhao Lijun Zhang Xiao Liu Hui Guan Matei A. Zaharia 152 0 0 19 Nov 2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization Mingliang Xu Mingbao Lin Gongrui Nan Jianzhuang Liu Baochang Zhang Yonghong Tian Rongrong Ji MQ 361 87 0 17 Nov 2021
Variability-Aware Training and Self-Tuning of Highly Quantized DNNs for Analog PIMDesign, Automation and Test in Europe (DATE), 2021 Zihao Deng Michael Orshansky MQ 80 11 0 11 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AIIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 258 128 0 11 Nov 2021
Self-Compression in Bayesian Neural NetworksInternational Workshop on Machine Learning for Signal Processing (MLSP), 2020 Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 113 6 0 10 Nov 2021
A Survey on Green Deep Learning Jingjing Xu Wangchunshu Zhou Zhiyi Fu Hao Zhou Lei Li VLM 344 89 0 08 Nov 2021
LiMuSE: Lightweight Multi-modal Speaker Extraction Qinghua Liu Yating Huang Yunzhe Hao Jiaming Xu Bo Xu 125 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 99 3 0 05 Nov 2021
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled AttentionBritish Machine Vision Conference (BMVC), 2021 S. Tan Runpei Dong Kaisheng Ma 216 2 0 03 Nov 2021
Arch-Net: Model Distillation for Architecture Agnostic Model Deployment Weixin Xu Zipeng Feng Shuangkang Fang Song Yuan Yi Yang Shuchang Zhou MQ 206 1 0 01 Nov 2021
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple PrecisionsIEEE International Conference on Computer Vision (ICCV), 2021 Sung-En Chang Yanyu Li Mengshu Sun Weiwen Jiang Sijia Liu Yanzhi Wang Xue Lin MQ 113 13 0 30 Oct 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep LearningNeural Information Processing Systems (NeurIPS), 2021 Ji Lin Wei-Ming Chen Han Cai Chuang Gan Song Han 210 176 0 28 Oct 2021
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 Hassan Dbouk Naresh R Shanbhag AAML 103 8 0 28 Oct 2021
Characterizing and Taming Resolution in Convolutional Neural NetworksIEEE International Symposium on Workload Characterization (IISWC), 2021 Eddie Q. Yan Liang Luo Luis Ceze 84 2 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 77 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 151 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 200 159 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 78 4 0 26 Oct 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 121 17 0 26 Oct 2021