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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
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
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment AnalysisACM Multimedia (MM), 2024 Xianbing Zhao Zhuang Li Tao Feng Jianfei Cai Buzhou Tang 157 1 0 05 Sep 2024
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets EstimatorNeural Networks (NN), 2024 Shiguang Wang Tao Xie Haijun Liu Xingcheng Zhang Jian Cheng 146 2 0 29 Aug 2024
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit Chang Gao Jianfei Chen Kang Zhao Jiaqi Wang Liping Jing MQ 169 2 0 26 Aug 2024
Infrared Domain Adaptation with Zero-Shot QuantizationInternational Conference on Machine Vision (ICMV), 2024 Burak Sevsay Erdem Akagündüz VLM MQ 200 1 0 25 Aug 2024
Neural Symbolic Logical Rule Learner for Interpretable Learning Bowen Wei Ziwei Zhu AI4CE 92 0 0 21 Aug 2024
Computer Vision Model Compression Techniques for Embedded Systems: A SurveyComputers & graphics (CG), 2024 Alexandre Lopes Fernando Pereira dos Santos D. Oliveira Mauricio Schiezaro Hélio Pedrini 202 13 0 15 Aug 2024
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection Zhonglin Chen Anyu Geng Jianan Jiang Jiwu Lu Di Wu ObjD 89 1 0 14 Aug 2024
FedBAT: Communication-Efficient Federated Learning via Learnable BinarizationInternational Conference on Machine Learning (ICML), 2024 Shiwei Li Wenchao Xu Haozhao Wang Xing Tang Tianzhe Xiao Shijie Xu Weihong Luo Yuhua Li Xiuqiang He Ruixuan Li FedML 125 7 0 06 Aug 2024
Cascading Refinement Video Denoising with Uncertainty Adaptivity Xinyuan Yu VGen 98 0 0 05 Aug 2024
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMsInternational Conference on Learning Representations (ICLR), 2024 Peijie Dong Lujun Li Dayou Du Yuhan Chen Zhenheng Tang ... Wei Xue Wenhan Luo Qi-fei Liu Yi-Ting Guo Xiaowen Chu MQ 132 25 0 03 Aug 2024
An Adaptive Tensor-Train Decomposition Approach for Efficient Deep Neural Network Compression Shiyi Luo Mingshuo Liu Kevin Han Magno T. M. Silva R. Demara ObjD 237 12 0 02 Aug 2024
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention SimilarityAAAI Conference on Artificial Intelligence (AAAI), 2024 Kanghyun Choi Hyeyoon Lee Dain Kwon Sunjong Park Kyuyeun Kim Noseong Park Jinho Lee Jinho Lee MQ 337 4 0 29 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model QuantizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Yushi Huang Yazhe Niu Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao MQ DiffM 327 4 0 28 Jul 2024
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers Zhengang Li Alec Lu Yanyue Xie Zhenglun Kong Mengshu Sun ... Zhaoyang Han Caiwen Ding Yanzhi Wang Xue Lin Zhenman Fang 144 8 0 25 Jul 2024
Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table Hiroyuki Tokunaga Joel Nicholls Daria Vazhenina Atsunori Kanemura MQ 42 1 0 23 Jul 2024
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns Christos Kyrkou 123 1 0 20 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 124 1 0 20 Jul 2024
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors Matt Gorbett Hossein Shirazi Indrakshi Ray MQ 177 1 0 16 Jul 2024
NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks Alberto Pirillo Luca Colombo Manuel Roveri MQ 188 1 0 16 Jul 2024
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment Yuhao Ji Chao Fang Shaobo Ma Haikuo Shao Zhongfeng Wang MQ 148 1 0 16 Jul 2024
Quality Scalable Quantization Methodology for Deep Learning on Edge S. Khaliq Rehan Hafiz MQ 112 2 0 15 Jul 2024
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation Liqun Ma Mingjie Sun Zhiqiang Shen 131 11 0 09 Jul 2024
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks Jingyang Xiang Zuohui Chen Siqi Li Qing Wu Yong-Jin Liu 156 3 0 07 Jul 2024
ISQuant: apply squant to the real deployment Dezan Zhao MQ 132 0 0 05 Jul 2024
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation Tao Chen Chenhui Wang Zhihao Chen Yiming Lei Hongming Shan MedIm 135 27 0 03 Jul 2024
GPTQT: Quantize Large Language Models Twice to Push the Efficiency Yipin Guo Yilin Lang Qinyuan Ren MQ 57 3 0 03 Jul 2024
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation Yipin Guo Zihao Li Yilin Lang Qinyuan Ren 161 0 0 03 Jul 2024
A Comprehensive Study of Structural Pruning for Vision Models Haoling Li Haoling Li Mengqi Xue Gongfan Fang Sheng Zhou Zunlei Feng Huiqiong Wang Mingli Song Lechao Cheng VLM 152 0 0 18 Jun 2024
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models Dongwon Jo Taesu Kim Yulhwa Kim Jae-Joon Kim 198 8 0 18 Jun 2024
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models Jing Liu Yazhe Niu Mingyang Zhang Yefei He Jianfei Cai Bohan Zhuang MoE 99 2 0 13 Jun 2024
Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding Yoni Choukroun Lior Wolf 108 1 0 09 Jun 2024
Binarized Diffusion Model for Image Super-ResolutionNeural Information Processing Systems (NeurIPS), 2024 Zheng Chen Haotong Qin Yong Guo Xiongfei Su Xin Yuan Linghe Kong Yulun Zhang DiffM 144 13 0 09 Jun 2024
Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks Lanzino Romeo Fontana Federico Diko Anxhelo Marini Marco Raoul Cinque Luigi 177 35 0 07 Jun 2024
Navigating Efficiency in MobileViT through Gaussian Process on Global Architecture Factors Ke Meng Kai Chen 161 1 0 07 Jun 2024
USM RNN-T model weights binarization Oleg Rybakov Dmitriy Serdyuk Chengjian Zheng MQ 214 2 0 05 Jun 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization Aozhong Zhang Naigang Wang Yanxia Deng Xin Li Zi Yang Penghang Yin MQ 131 14 0 02 Jun 2024
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge ChonLam Lao Jiaqi Gao Ganesh Ananthanarayanan Aditya Akella Minlan Yu VLM 96 0 0 29 May 2024
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems Georg Rutishauser Joan Mihali Moritz Scherer Luca Benini 149 2 0 29 May 2024
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention Xingyu Ding Li Shan Guiqin Zhao Meiqi Wu Wenzhang Zhou Wei Li MQ 156 10 0 28 May 2024
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network Zongkai Zhang Zidong Xu Wenming Yang Qingmin Liao Jing-Hao Xue MQ 3DV 192 1 0 27 May 2024
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization Jianting Yang Srecko Ðurasinovic Jean B. Lasserre Victor Magron Jun Zhao AAML 226 2 0 27 May 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 190 2 0 25 May 2024
LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules Mohamed Mejri C. Amarnath Abhijit Chatterjee 148 1 0 23 May 2024
TerDiT: Ternary Diffusion Models with Transformers Xudong Lu Aojun Zhou Ziyi Lin Zijun Chen Yuhui Xu Renrui Zhang Yafei Wen Shuai Ren Shiyang Feng Junchi Yan MQ 227 4 0 23 May 2024
QGait: Toward Accurate Quantization for Gait Recognition with Binarized Input Senmao Tian Haoyu Gao Gangyi Hong Shuyun Wang JingJie Wang Xin Yu Shunli Zhang MQ 134 1 0 22 May 2024
ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency Po-Hsun Chu Ching-Han Chen MQ 122 0 0 11 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Xue Geng Zhe Wang Chunyun Chen Qing Xu Kaixin Xu ... Zhenghua Chen M. Aly Jie Lin Ruibing Jin Xiaoli Li 171 5 0 09 May 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise Matt Schoenbauer Daniele Moro Lukasz Lew Andrew G. Howard MQ 199 5 0 08 May 2024
Collage: Light-Weight Low-Precision Strategy for LLM TrainingInternational Conference on Machine Learning (ICML), 2024 Tao Yu Gaurav Gupta Karthick Gopalswamy Amith R. Mamidala Hao Zhou Jeffrey Huynh Youngsuk Park Ron Diamant Hao Ding Jun Huan MQ 153 7 0 06 May 2024