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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
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware Lakshmi Nair D. Bunandar 99 0 0 05 Jun 2023
Binary and Ternary Natural Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Zechun Liu Barlas Oğuz Aasish Pappu Yangyang Shi Raghuraman Krishnamoorthi MQ 191 9 0 02 Jun 2023
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 Jintang Li Huizhe Zhang Ruofan Wu Zulun Zhu Baokun Wang Changhua Meng Zibin Zheng Liang Chen SSL 114 10 0 30 May 2023
PQA: Exploring the Potential of Product Quantization in DNN Hardware AccelerationACM Transactions on Reconfigurable Technology and Systems (TRETS), 2023 Ahmed F. AbouElhamayed Angela Cui Javier Fernandez-Marques Nicholas D. Lane Mohamed S. Abdelfattah MQ 173 7 0 25 May 2023
BinaryViT: Towards Efficient and Accurate Binary Vision Transformers Junrui Xiao Zhikai Li Lianwei Yang Qingyi Gu MQ ViT 184 5 0 24 May 2023
Training an Ising Machine with Equilibrium PropagationNature Communications (Nat. Commun.), 2023 Jérémie Laydevant Danijela Marković Julie Grollier 143 43 0 22 May 2023
Bi-ViT: Pushing the Limit of Vision Transformer QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2023 Yanjing Li Sheng Xu Mingbao Lin Xianbin Cao Chuanjian Liu Xiao Sun Baochang Zhang ViT MQ 133 19 0 21 May 2023
Evaluation Metrics for DNNs Compression Abanoub Ghobrial S. Budgett Dieter Balemans Hamid Asgari Philippe Reiter Kerstin Eder 145 1 0 18 May 2023
Binarized Spectral Compressive ImagingNeural Information Processing Systems (NeurIPS), 2023 Yuan-Yuan Cai Yuxing Zheng Jing Lin X. Yuan Yulun Zhang Haoqian Wang 225 36 0 17 May 2023
A Novel Stochastic LSTM Model Inspired by Quantum Machine LearningIEEE International Symposium on Quality Electronic Design (ISQED), 2023 Joseph Lindsay Ramtin Zand 66 7 0 17 May 2023
GSB: Group Superposition Binarization for Vision Transformer with Limited Training SamplesNeural Networks (Neural Netw.), 2023 T. Gao Chengzhong Xu Le Zhang Hui Kong 243 9 0 13 May 2023
$$\partial\mathbb{B}$ nets: learning discrete functions by gradient descent$ $\partial\mathbb{B}$ nets: learning discrete functions by gradient descent Ian Wright 169 0 0 12 May 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model QuantizationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Yulong Yang Chenhao Lin Qian Li Subrat Kishore Dutta Haoran Fan Dawei Zhou Nannan Wang Tongliang Liu Chao Shen AAML MQ 218 20 0 10 May 2023
Input Layer Binarization with Bit-Plane EncodingInternational Conference on Artificial Neural Networks (ICANN), 2023 Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 118 8 0 04 May 2023
Cuttlefish: Low-Rank Model Training without All the TuningConference on Machine Learning and Systems (MLSys), 2023 Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 234 26 0 04 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUsInternational Conference on Supercomputing (ICS), 2023 Jou-An Chen Hsin-Hsuan Sung Xipeng Shen Sutanay Choudhury Ang Li GNN MQ 203 8 0 04 May 2023
A Digital Twin Empowered Lightweight Model Sharing Scheme for Multi-Robot SystemsIEEE Internet of Things Journal (IEEE IoT J.), 2023 Kai Xiong Zhihong Wang S. Leng Jianhua He 85 12 0 03 May 2023
Photonic Advantage of Optical EncodersConference on Lasers and Electro-Optics (CLEO), 2023 Luocheng Huang Quentin A. A. Tanguy Johannes E. Froch Saswata Mukherjee K. Böhringer Anirudha Majumdar 140 28 0 02 May 2023
CORSD: Class-Oriented Relational Self DistillationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Muzhou Yu S. Tan Kailu Wu Runpei Dong Linfeng Zhang Kaisheng Ma 74 1 0 28 Apr 2023
Multiplierless In-filter Computing for tinyML PlatformsInternational Conference on VLSI Design (VLSID), 2023 Abhishek Ramdas Nair P. Nath S. Chakrabartty Chetan Singh Thakur 63 1 0 24 Apr 2023
Deep Convolutional Tables: Deep Learning without ConvolutionsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 S. Dekel Y. Keller Aharon Bar-Hillel 3DV 162 0 0 23 Apr 2023
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold ProcessorsJournal of Low Power Electronics and Applications (JLPEA), 2022 Zichao Shen Neil Howard J. Núñez-Yáñez 119 2 0 19 Apr 2023
Learning Accurate Performance Predictors for Ultrafast Automated Model CompressionInternational Journal of Computer Vision (IJCV), 2023 Ziwei Wang Jiwen Lu Han Xiao Shengyu Liu Jie Zhou OffRL 125 1 0 13 Apr 2023
Scale-Space Hypernetworks for Efficient Biomedical Imaging Jose Javier Gonzalez Ortiz John Guttag Adrian Dalca 118 0 0 11 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural SensorsComputer Vision and Pattern Recognition (CVPR), 2023 Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 110 7 0 11 Apr 2023
Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks Travis Driver Panagiotis Tsiotras 114 0 0 11 Apr 2023
A priori compression of convolutional neural networks for wave simulatorsEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023 Hamza Boukraichi N. Akkari F. Casenave David Ryckelynck 136 2 0 11 Apr 2023
Training Neural Networks for Execution on Approximate Hardware Tianmu Li Shurui Li Puneet Gupta 98 1 0 08 Apr 2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural NetworksJournal of Computational Science and Technology (JCST), 2023 Cheng Gong Ye Lu Surong Dai Deng Qian Chenkun Du Tao Li MQ 95 0 0 07 Apr 2023
Optimizing data-flow in Binary Neural NetworksItalian National Conference on Sensors (INS), 2023 Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 132 6 0 03 Apr 2023
Online Algorithms for Hierarchical Inference in Deep Learning applications at the EdgeIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2023 Vishnu Narayanan Moothedath J. Champati J. Gross 156 13 0 03 Apr 2023
Information-Theoretic GAN Compression with Variational Energy-based ModelNeural Information Processing Systems (NeurIPS), 2023 Minsoo Kang Hyewon Yoo Eunhee Kang Sehwan Ki Hyong-Euk Lee Bohyung Han GAN 145 4 0 28 Mar 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud AnalysisComputer Vision and Pattern Recognition (CVPR), 2023 Xiuwei Xu Ziwei Wang Jie Zhou Jiwen Lu 3DPC MQ 187 8 0 27 Mar 2023
Architecturing Binarized Neural Networks for Traffic Sign RecognitionInternational Conference on Artificial Neural Networks (ICANN), 2023 Andreea Postovan Madalina Erascu 66 6 0 27 Mar 2023
Compacting Binary Neural Networks by Sparse Kernel SelectionComputer Vision and Pattern Recognition (CVPR), 2023 Yikai Wang Wen-bing Huang Yinpeng Dong Gang Hua Anbang Yao MQ 151 6 0 25 Mar 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 102 1 0 24 Mar 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds Xiaoting Wang Yanxiang Zhang Yongzhen Zhang 158 8 0 20 Mar 2023
Bag of Tricks with Quantized Convolutional Neural Networks for image classificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Jie Hu Mengze Zeng Enhua Wu MQ 81 2 0 13 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token HaltingIEEE International Conference on Computer Vision (ICCV), 2023 Mao Ye Gregory P. Meyer Yuning Chai Qiang Liu 154 9 0 09 Mar 2023
Filter Pruning based on Information Capacity and IndependenceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Xiaolong Tang Shuo Ye Yufeng Shi Tianheng Hu Qinmu Peng Xinge You VLM 161 4 0 07 Mar 2023
Globally Optimal Training of Neural Networks with Threshold Activation FunctionsInternational Conference on Learning Representations (ICLR), 2023 Tolga Ergen Halil Ibrahim Gulluk Jonathan Lacotte Mert Pilanci 175 9 0 06 Mar 2023
Scalable Object Detection on Embedded Devices Using Weight Pruning and Singular Value Decomposition D. Ham Jaeyeop Jeong June-Kyoo Park Raehyeon Jeong S. Jeon Hyeongjun Jeon Ye-Eun Lim 65 1 0 05 Mar 2023
Understanding weight-magnitude hyperparameters in training binary networksInternational Conference on Learning Representations (ICLR), 2023 Joris Quist Yun-qiang Li Jan van Gemert MQ 157 0 0 04 Mar 2023
BPT: Binary Point Cloud Transformer for Place Recognition Zhixing Hou Yuzhang Shang Tian Gao Yan Yan MQ ViT 127 3 0 02 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Yang He Lingao Xiao 3DPC 284 225 0 01 Mar 2023
Balanced Training for Sparse GANsNeural Information Processing Systems (NeurIPS), 2023 Yite Wang Jing Wu N. Hovakimyan Tian Ding 173 11 0 28 Feb 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural NetworksUSENIX Security Symposium (USENIX Security), 2023 Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 155 28 0 27 Feb 2023
Efficient Multitask Learning on Resource-Constrained Systems Yubo Luo Le Zhang Zhenyu Wang S. Nirjon 106 9 0 25 Feb 2023
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network InferenceIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023 Jiajun Zhou Jiajun Wu Yizhao Gao Yuhao Ding Chaofan Tao Yue Liu Fengbin Tu Kwang-Ting Cheng Hayden Kwok-Hay So Ngai Wong MQ 102 9 0 24 Feb 2023
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference Farhad Taheri Siavash Bayat Sarmadi H. Mosanaei-Boorani Reza Taheri MQ 64 1 0 19 Feb 2023