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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"

50 / 1,731 papers shown

Title
Progressive Binarization with Semi-Structured Pruning for LLMs Xinyu Yan Tianao Zhang Zhiteng Li Yulun Zhang MQ 164 1 0 01 Jul 2025
Compression Aware Certified Training Changming Xu Gagandeep Singh 30 0 0 13 Jun 2025
BitTTS: Highly Compact Text-to-Speech Using 1.58-bit Quantization and Weight Indexing Masaya Kawamura Takuya Hasumi Yuma Shirahata Ryuichi Yamamoto MQ 63 0 0 04 Jun 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 75 0 0 03 Jun 2025
LittleBit: Ultra Low-Bit Quantization via Latent Factorization Banseok Lee Dongkyu Kim Youngcheon You Youngmin Kim MQ 39 0 0 30 May 2025
Learning Interpretable Differentiable Logic Networks for Tabular Regression C. Yue N. Jha 174 0 0 29 May 2025
Highly Efficient and Effective LLMs with Multi-Boolean Architectures Ba-Hien Tran Van Minh Nguyen MQ 66 0 0 28 May 2025
Compressing Sine-Activated Low-Rank Adapters through Post-Training Quantization Cameron Gordon Yiping Ji Hemanth Saratchandran Paul Albert Simon Lucey MQ 67 0 0 28 May 2025
BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook Hao Gu Lujun Li Zheyu Wang B. Liu Qiyuan Zhu Sirui Han Yike Guo MQ 40 0 0 24 May 2025
Spiking Transformers Need High Frequency Information Yuetong Fang Deming Zhou Ziqing Wang Hongwei Ren Zecui Zeng Lusong Li Shibo Zhou Renjing Xu 61 0 0 24 May 2025
Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization Halyun Jeong Jack Xin Penghang Yin MQ 55 0 0 23 May 2025
A Principled Bayesian Framework for Training Binary and Spiking Neural Networks James A. Walker M. Khajehnejad Adeel Razi BDL 159 0 0 23 May 2025
Automatic Complementary Separation Pruning Toward Lightweight CNNs David Levin Gonen Singer 70 0 0 19 May 2025
An Overview of Arithmetic Adaptations for Inference of Convolutional Neural Networks on Re-configurable Hardware Ilkay Wunderlich Benjamin Koch Sven Schönfeld 237 2 0 19 May 2025
Addition is almost all you need: Compressing neural networks with double binary factorization Vladimír Boža Vladimír Macko MQ 161 0 0 16 May 2025
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs Lukas Meiner Jens Mehnert Alexandru Paul Condurache MQ 174 0 0 06 May 2025
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks Quynh Nguyen Phuong Vu Luciano S. Martinez-Rau Yuxuan Zhang Nho-Duc Tran Bengt Oelmann Michele Magno Sebastian Bader CLL 76 0 0 05 May 2025
FPGA-based Acceleration for Convolutional Neural Networks: A Comprehensive Review Junye Jiang Yaan Zhou Yuanhao Gong Haoxuan Yuan Shuanglong Liu 104 0 0 04 May 2025
Optimizing Deep Neural Networks using Safety-Guided Self Compression Mohammad Zbeeb Mariam Salman Mohammad Bazzi Ammar Mohanna 72 0 0 01 May 2025
Practical Boolean Backpropagation Simon Golbert 37 0 0 01 May 2025
Silenzio: Secure Non-Interactive Outsourced MLP Training Jonas Sander T. Eisenbarth 61 0 0 24 Apr 2025
BackSlash: Rate Constrained Optimized Training of Large Language Models Jun Wu Jiangtao Wen Yuxing Han 166 1 0 23 Apr 2025
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 143 1 0 17 Apr 2025
ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators Riad Ibadulla Thomas M. Chen C. Reyes-Aldasoro ViT 60 0 0 15 Apr 2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training Yi Hu Jinhang Zuo Eddie Zhang Bob Iannucci Carlee Joe-Wong 106 0 0 13 Apr 2025
Compound and Parallel Modes of Tropical Convolutional Neural Networks Mingbo Li Liying Liu Ye Luo 115 0 0 09 Apr 2025
Expanding-and-Shrinking Binary Neural Networks Xulong Shi Caiyi Sun Zhi Qi Liu Hao Xiaodong Yang MQ 192 0 0 31 Mar 2025
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks Isabelle Aguilar Luis Fernando Herbozo Contreras Omid Kavehei 123 1 0 27 Mar 2025
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing Shiyang Zhou Haijin Zeng Yunfan Lu Tong Shao Ke Tang Yongyong Chen Jie Liu Jingyong Su Mamba 135 1 0 20 Mar 2025
PARQ: Piecewise-Affine Regularized Quantization Lisa Jin Jianhao Ma Zechun Liu Andrey Gromov Aaron Defazio Lin Xiao MQ 85 1 0 19 Mar 2025
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness Kangrui Du Yuhang Wu Shikuang Deng Shi Gu 85 0 0 18 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 142 0 0 10 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 134 0 0 10 Mar 2025
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection Biqiao Xin Qianchen Mao Bingshu Wang Jiangbin Zheng Yong Zhao C. L. P. Chen MQ 143 0 0 04 Mar 2025
TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition Oliver Grainge Michael Milford Indu Bodala Sarvapali D. Ramchurn Shoaib Ehsan ViT 168 0 0 04 Mar 2025
Cauchy-Schwarz Regularizers Sueda Taner Ziyi Wang Christoph Studer 131 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 153 0 0 26 Feb 2025
Optimal Brain Apoptosis Mingyuan Sun Zheng Fang Jiaxu Wang Junjie Jiang Delei Kong Chenming Hu Yuetong Fang Renjing Xu AAML 109 0 0 25 Feb 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism Yu Liang Wenjie Wei A. Belatreche Honglin Cao Zijian Zhou Shuai Wang Malu Zhang Yue Yang MQ 104 0 0 21 Feb 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models Jiaqi Zhao Miao Zhang Ming Wang Yuzhang Shang Kaihao Zhang Weili Guan Yaowei Wang Min Zhang MQ 114 1 0 18 Feb 2025
On Space Folds of ReLU Neural Networks Michal Lewandowski Hamid Eghbalzadeh Bernhard Heinzl Raphael Pisoni Bernhard A.Moser MLT 181 2 0 17 Feb 2025
ParetoQ: 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 189 10 0 04 Feb 2025
Hyperbolic Binary Neural Network Jun Chen Jingyang Xiang Tianxin Huang Xiangrui Zhao Yong Liu MQ 53 0 0 08 Jan 2025
Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning Zhen Li Yupeng Su Runming Yang C. Xie Zehua Wang Zhongwei Xie Ngai Wong Hongxia Yang MQ LRM 192 4 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 161 0 0 03 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Ruiying Ren Shengjie Liu Tiejun Huang 215 0 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 3DGS 134 0 0 31 Dec 2024
Lightweight Design and Optimization methods for DCNNs: Progress and Futures Hanhua Long Wenbin Bi Jian Sun 116 0 0 22 Dec 2024
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference Benchang Dong Zhili Chen Xin Chen Shiwen Wei Jie Fu Huifa Li 123 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 219 0 0 18 Dec 2024