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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 / 1,765 papers shown

Title
Designed Dithering Sign Activation for Binary Neural NetworksIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2024 Brayan Monroy Juan Estupiñán T. Gelvez-Barrera Jorge Bacca Henry Arguello MQ 217 2 0 03 May 2024
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth Victor Quétu Zhu Liao Enzo Tartaglione 200 4 0 27 Apr 2024
NEPENTHE: Entropy-Based Pruning as a Neural Network Depth's Reducer Zhu Liao Victor Quétu Van-Tam Nguyen Enzo Tartaglione 109 2 0 24 Apr 2024
Application of 3D Gaussian Splatting for Cinematic Anatomy on Consumer Class Devices Simon Niedermayr Christoph Neuhauser Kaloian Petkov Klaus Engel Rüdiger Westermann 3DGS 113 16 0 17 Apr 2024
Frame Quantization of Neural Networks Wojciech Czaja Sanghoon Na 130 1 0 11 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A Survey Hou-I Liu Marco Galindo Hongxia Xie Lai-Kuan Wong Hong-Han Shuai Yung-Hui Li Wen-Huang Cheng 225 125 0 08 Apr 2024
BiPer: Binary Neural Networks using a Periodic Function Edwin Vargas Claudia V. Correa Carlos Hinojosa Henry Arguello MQ 229 9 0 01 Apr 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model Jihun Kim Dahyun Kim Hyungrok Jung Taeil Oh Jonghyun Choi MQ 227 0 0 30 Mar 2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks Marina Neseem Conor McCullough Randy Hsin Chas Leichner Shan Li ... Andrew G. Howard Lukasz Lew Sherief Reda Ville Rautio Daniele Moro MQ 281 3 0 29 Mar 2024
Binarized Low-light Raw Video Enhancement Gengchen Zhang Yulun Zhang Xin Yuan Ying Fu MQ 185 12 0 29 Mar 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang 215 12 0 28 Mar 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 178 100 0 28 Mar 2024
Self-Supervised Quantization-Aware Knowledge Distillation Kaiqi Zhao Ming Zhao MQ 157 9 0 17 Mar 2024
FBPT: A Fully Binary Point TransformerIEEE International Conference on Robotics and Automation (ICRA), 2024 Zhixing Hou Yuzhang Shang Yan Yan MQ 150 1 0 15 Mar 2024
AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction Siqi Li Jun Chen Jingyang Xiang Chengrui Zhu Yong-Jin Liu 124 2 0 13 Mar 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training QuantizationIEEE Access (IEEE Access), 2024 Aozhong Zhang Zi Yang Naigang Wang Yingyong Qin Jack Xin Xin Li Penghang Yin VLM MQ 122 10 0 11 Mar 2024
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network Ruichen Ma G. Qiao Yián Liu L. Meng N. Ning Yang Liu Shaogang Hu AAML MQ 185 3 0 06 Mar 2024
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition Zhiyuan Yang Yunjiao Zhou Lihua Xie Jianfei Yang 3DPC 155 2 0 29 Feb 2024
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers Yiwei Lu Yaoliang Yu Xinlin Li Vahid Partovi Nia MQ 149 5 0 27 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A Survey Wenxiao Wang Wei Chen Yicong Luo Yongliu Long Zhengkai Lin Liye Zhang Binbin Lin Deng Cai Xiaofei He MQ 186 79 0 15 Feb 2024
Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications H. Esfahanizadeh Alejandro Cohen S. Shamai Muriel Médard 121 1 0 11 Feb 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMsInternational Conference on Machine Learning (ICML), 2024 Wei Huang Yangdong Liu Haotong Qin Ying Li Shiming Zhang Xianglong Liu Michele Magno Xiaojuan Qi MQ 203 123 0 06 Feb 2024
Quantized Approximately Orthogonal Recurrent Neural Networks Armand Foucault Franck Mamalet Franccois Malgouyres MQ 272 1 0 05 Feb 2024
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning Z. Su Jiehua Zhang Longguang Wang Hua Zhang Zhen Liu M. Pietikäinen Tianpeng Liu 208 35 0 01 Feb 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training Lianbo Ma Yuee Zhou Jianlun Ma Guo-Ding Yu Qing Li MQ 91 5 0 30 Jan 2024
Robustness to distribution shifts of compressed networks for edge devices Lulan Shen Ali Edalati Brett H. Meyer Warren Gross James J. Clark 115 0 0 22 Jan 2024
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction Zhigang Wang Hangyu Yang Ning Wang Chuanfei Xu Jie Nie Zhiqiang Wei Yu Gu Ge Yu 110 0 0 21 Jan 2024
Enabling On-device Continual Learning with Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Guido Borghi Stefano Santi MQ 181 6 0 18 Jan 2024
A foundation for exact binarized morphological neural networks T. Aouad Hugues Talbot 87 2 0 08 Jan 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold Alireza Ganjdanesh Shangqian Gao Hirad Alipanah Heng-Chiao Huang GAN 150 11 0 22 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 238 1 0 21 Dec 2023
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity Yiyue Chen H. Vikalo C. Wang FedML 133 9 0 20 Dec 2023
Sense, Predict, Adapt, Repeat: A Blueprint for Design of New Adaptive AI-Centric Sensing Systems S. Hor Amin Arbabian 122 2 0 11 Dec 2023
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS Sharath Girish Kamal Gupta Abhinav Shrivastava 3DGS 200 146 0 07 Dec 2023
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off Sachit Kuhar Yash Jain Alexey Tumanov MQ 183 0 0 04 Dec 2023
Low-Precision Mixed-Computation Models for Inference on Edge Seyedarmin Azizi M. Nazemi M. Kamal Massoud Pedram MQ 162 4 0 03 Dec 2023
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale Soyed Tuhin Ahmed K. Danouchi Michael Hefenbrock G. Prenat L. Anghel M. Tahoori UQCV BDL 126 7 0 27 Nov 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Yushi Huang Yazhe Niu Jing Liu Tianlong Chen Xianglong Liu DiffM MQ 198 60 0 27 Nov 2023
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization Zhiteng Li Yulun Zhang Jing Lin Haotong Qin Jinjin Gu Xin Yuan Linghe Kong Yunbo Wang 3DH 232 1 0 24 Nov 2023
Synaptic Sampling of Neural NetworksInternational Conference on Rebooting Computing (ICRC), 2023 J. Aimone William M. Severa J. D. Smith BDL 107 1 0 21 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review M. Lê Pierre Wolinski Julyan Arbel 187 16 0 20 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms Young D. Kwon Jagmohan Chauhan Hong Jia Stylianos I. Venieris Cecilia Mascolo 154 19 0 19 Nov 2023
LightBTSeg: A lightweight breast tumor segmentation model using ultrasound images via dual-path joint knowledge distillation Hongjiang Guo Shengwen Wang Hao Dang Kangle Xiao Yaru Yang Wenpei Liu Tongtong Liu Yiying Wan 131 5 0 18 Nov 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs James Hazelden Yuhan Helena Liu Eli Shlizerman E. Shea-Brown 225 5 0 17 Nov 2023
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis Simon Niedermayr Josef Stumpfegger Rüdiger Westermann 3DGS 285 184 0 17 Nov 2023
Boolean Variation and Boolean Logic BackPropagation Van Minh Nguyen 153 2 0 13 Nov 2023
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained EnvironmentsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Calvin Tanama Kunyu Peng Zdravko Marinov Rainer Stiefelhagen Alina Roitberg 138 2 0 10 Nov 2023
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline Jayeeta Mondal Swarnava Dey Arijit Mukherjee MQ 124 1 0 10 Nov 2023
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Akrit Mudvari Antero Vainio Iason Ofeidis Sasu Tarkoma Leandros Tassiulas 221 8 0 09 Nov 2023
Compression with Exact Error Distribution for Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Mahmoud Hegazy Rémi Leluc Cheuk Ting Li Hadrien Hendrikx FedML 118 16 0 31 Oct 2023