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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
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Chaoyue Niu Yucheng Ding Junhui Lu Zhengxiang Huang Hang Zeng Yutong Dai Xuezhen Tu Chengfei Lv Fan Wu Guihai Chen 243 2 0 17 Apr 2025
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Compound and Parallel Modes of Tropical Convolutional Neural Networks Mingbo Li Liying Liu Ye Luo 211 0 0 09 Apr 2025
Expanding-and-Shrinking Binary Neural Networks Xulong Shi Caiyi Sun Zhi Qi Liu Hao Xiaodong Yang MQ 241 1 0 31 Mar 2025
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks Isabelle Aguilar Luis Fernando Herbozo Contreras Omid Kavehei 211 1 0 27 Mar 2025
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingComputer Vision and Pattern Recognition (CVPR), 2025 Shiyang Zhou Haijin Zeng Yunfan Lu Tong Shao Ke Tang Yongyong Chen Jie Liu Jingyong Su Mamba 169 3 0 20 Mar 2025
PARQ: Piecewise-Affine Regularized Quantization Lisa Jin Jianhao Ma Zechun Liu Andrey Gromov Aaron Defazio Lin Xiao MQ 148 3 0 19 Mar 2025
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment FriendlinessInternational Conference on Learning Representations (ICLR), 2025 Kangrui Du Yuhang Wu Shikuang Deng Shi Gu 145 3 0 18 Mar 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs Amira Guesmi B. Ouni Muhammad Shafique MQ AAML 199 0 0 10 Mar 2025
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks Yanis Basso-Bert Anca Molnos Romain Lemaire William Guicquero Antoine Dupret CLL 196 0 0 10 Mar 2025
TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place RecognitionIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Oliver Grainge Michael Milford Indu Bodala Sarvapali D. Ramchurn Shoaib Ehsan ViT 230 0 0 04 Mar 2025
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection Biqiao Xin Qianchen Mao Yabo Wu Jiangbin Zheng Yong Zhao C. L. P. Chen MQ 218 1 0 04 Mar 2025
Cauchy-Schwarz RegularizersInternational Conference on Learning Representations (ICLR), 2025 Sueda Taner Ziyi Wang Christoph Studer 241 0 0 03 Mar 2025
Binary Neural Networks for Large Language Model: A Survey Liangdong Liu Zhitong Zheng Cong Wang TianHuang Su ZhenYu Yang MQ 204 0 0 26 Feb 2025
Optimal Brain ApoptosisInternational Conference on Learning Representations (ICLR), 2025 Mingyuan Sun Zheng Fang Jiaxu Wang Junjie Jiang Delei Kong Chenming Hu Yuetong Fang Zhanchen Zhu AAML 215 2 0 25 Feb 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation MechanismAAAI Conference on Artificial Intelligence (AAAI), 2025 Yu Liang Wenjie Wei A. Belatreche Honglin Cao Zijian Zhou Shuai Wang Malu Zhang Yue Yang MQ 164 4 0 21 Feb 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Jiaqi Zhao Miao Zhang Ming Wang Yuzhang Shang Kaihao Zhang Weili Guan Yaowei Wang Min Zhang MQ 219 2 0 18 Feb 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 249 2 0 17 Feb 2025
ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization Zechun Liu Changsheng Zhao Hanxian Huang Sijia Chen Jing Zhang ... Yuandong Tian Bilge Soran Raghuraman Krishnamoorthi Tijmen Blankevoort Vikas Chandra MQ 349 23 0 04 Feb 2025
Progressive Binarization with Semi-Structured Pruning for LLMs Xinyu Yan Tianao Zhang Zhiteng Li Yulun Zhang Yulun Zhang MQ 276 4 0 03 Feb 2025
ZOQO: Zero-Order Quantized OptimizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Noga Bar Raja Giryes MQ 41 1 0 12 Jan 2025
Hyperbolic Binary Neural NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Jun Chen Jingyang Xiang Tianxin Huang Xiangrui Zhao Yong Liu MQ 115 1 0 08 Jan 2025
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning Zhen Li Yupeng Su Runming Yang C. Xie Xiping Hu Zhongwei Xie Ngai Wong Hongxia Yang MQ LRM 348 14 0 06 Jan 2025
Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation Tse-Wei Chen Wei Tao Dongyue Zhao Kazuhiro Mima Tadayuki Ito Kinya Osa Masami Kato MQ 214 0 0 03 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain AdaptationIEEE transactions on multimedia (TMM), 2025 Xinyang Huang Chuang Zhu Ruiying Ren Shengjie Liu Tiejun Huang 315 3 0 03 Jan 2025
4D Gaussian Splatting: Modeling Dynamic Scenes with Native 4D Primitives Zeyu Yang Zijie Pan Xiatian Zhu Li Zhang Yu-Gang Jiang Philip H. S. Torr Juil Sock 3DGS 300 7 0 30 Dec 2024
Lightweight Design and Optimization methods for DCNNs: Progress and Futures Hanhua Long Wenbin Bi Jian Sun 177 1 0 22 Dec 2024
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Shiwen Wei Zhili Chen Xin Chen Shiwen Wei Jie Fu Huifa Li 165 1 0 21 Dec 2024
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference Zihao Zheng Yan Liang Jiayu Chen Peng Zhou Xiang Chen Yunxin Liu 287 0 0 18 Dec 2024
Fast and Slow Gradient Approximation for Binary Neural Network OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2024 Xinquan Chen Junqi Gao Biqing Qi Dong Li Yiang Luo Fangyuan Li Pengfei Li MQ 176 0 0 16 Dec 2024
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI AcceleratorsNeural Information Processing Systems (NeurIPS), 2024 Taesik Gong F. Kawsar Chulhong Min 190 4 0 09 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced DataExpert systems with applications (ESWA), 2024 Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 269 31 0 09 Dec 2024
Efficient Ternary Weight Embedding Model: Bridging Scalability and Performance Jiayi Chen Chen Wu Shanghang Zhang Nan Li Guang Dai Tao Gui 179 0 0 23 Nov 2024
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks Amira Guesmi B. Ouni Mohamed Bennai AAML 259 0 0 22 Nov 2024
Bi-Mamba: Towards Accurate 1-Bit State Space Models Shengkun Tang Liqun Ma Haoyang Li Mingjie Sun Zhiqiang Shen Mamba 204 6 0 18 Nov 2024
Efficient Model Compression for Bayesian Neural Networks Diptarka Saha Zihe Liu Feng Liang BDL 99 0 0 01 Nov 2024
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet Accuracy Shuntaro Takahashi Takuya Wakisaka Hiroyuki Tokunaga MQ 108 0 0 15 Oct 2024
Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of OperationsIEEE Open Journal of the Computer Society (JOCS), 2024 Seongho Kim Jihyun Moon Juntaek Oh Insu Choi Joon-Sung Yang 60 0 0 15 Oct 2024
Arrhythmia Classification Using Graph Neural Networks Based on Correlation MatrixIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024 Seungwoo Han 205 0 0 14 Oct 2024
Gradient-Free Training of Quantized Neural Networks Dotan Di Castro O. Joglekar Dotan Di Castro Vladimir Tchuiev Shir Kozlovsky Michal Moshkovitz MQ 87 0 0 13 Oct 2024
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile EnvironmentsACM International Conference on Embedded Networked Sensor Systems (SenSys), 2024 Cheng Fang Sicong Liu Zimu Zhou Bin Guo Jiaqi Tang Ke Ma Zhiwen Yu TTA 111 5 0 10 Oct 2024
Growing Efficient Accurate and Robust Neural Networks on the Edge Vignesh Sundaresha Naresh Shanbhag 146 0 0 10 Oct 2024
Mixture Compressor for Mixture-of-Experts LLMs Gains MoreInternational Conference on Learning Representations (ICLR), 2024 Wei Huang Yue Liao Jianhui Liu Ruifei He Haoru Tan Shiming Zhang Hongsheng Li Si Liu Xiaojuan Qi MoE 184 18 0 08 Oct 2024
Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design MethodologyACM Symposium on Cloud Computing (SoCC), 2024 Anagha Nimbekar Prabodh Katti Chen Li Bashir M. Al-Hashimi Amit Acharyya Bipin Rajendran 63 0 0 07 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2024 Zhiteng Li Xinyu Yan Tianao Zhang Haotong Qin Dong Xie Jiang Tian Peng Wang Linghe Kong Yulun Zhang Yunbo Wang MQ 191 16 0 04 Oct 2024
CycleBNN: Cyclic Precision Training in Binary Neural Networks Federico Fontana Romeo Lanzino Anxhelo Diko G. Foresti Luigi Cinque MQ 192 0 0 28 Sep 2024
Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview Yanshu Wang Tong Yang Xiyan Liang Guoan Wang Hanning Lu Xu Zhe Yaoming Li Li Weitao MQ 161 4 0 18 Sep 2024
Robust Training of Neural Networks at Arbitrary Precision and Sparsity Chengxi Ye Grace Chu Yanfeng Liu Yichi Zhang Lukasz Lew Li Zhang Mark Sandler Andrew G. Howard MQ 74 2 0 14 Sep 2024
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration Pei Wang Xiaotong Luo Yuan Xie Yanyun Qu DiffM 189 1 0 05 Sep 2024