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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
Binarized Diffusion Model for Image Super-Resolution Zheng Chen Haotong Qin Yong Guo Xiongfei Su Xin Yuan Linghe Kong Yulun Zhang DiffM 88 9 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 100 19 0 07 Jun 2024
Navigating Efficiency in MobileViT through Gaussian Process on Global Architecture Factors Ke Meng Kai Chen 72 0 0 07 Jun 2024
USM RNN-T model weights binarization Oleg Rybakov Dmitriy Serdyuk Chengjian Zheng MQ 125 1 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 89 8 0 02 Jun 2024
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems Georg Rutishauser Joan Mihali Moritz Scherer Luca Benini 71 1 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 84 1 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 122 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 146 1 0 27 May 2024
BOLD: Boolean Logic Deep Learning Van Minh Nguyen Cristian Ocampo Aymen Askri Louis Leconte Ba-Hien Tran AI4CE 118 1 0 25 May 2024
LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules Mohamed Mejri C. Amarnath Abhijit Chatterjee 120 1 0 23 May 2024
TerDiT: Ternary Diffusion Models with Transformers Xudong Lu Aojun Zhou Ziyi Lin Qi Liu Yuhui Xu Renrui Zhang Yafei Wen Shuai Ren Peng Gao Junchi Yan MQ 124 3 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 72 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 68 0 0 11 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks Xue Geng Zhe Wang Chunyun Chen Qing Xu Kaixin Xu ... Zhenghua Chen M. Aly Jie Lin Min-man Wu Xiaoli Li 109 1 0 09 May 2024
Custom Gradient Estimators are Straight-Through Estimators in Disguise Matt Schoenbauer Daniele Moro Lukasz Lew Andrew G. Howard MQ 96 4 0 08 May 2024
Collage: Light-Weight Low-Precision Strategy for LLM Training Tao Yu Gaurav Gupta Karthick Gopalswamy Amith R. Mamidala Hao Zhou Jeffrey Huynh Youngsuk Park Ron Diamant Anoop Deoras Jun Huan MQ 108 3 0 06 May 2024
Designed Dithering Sign Activation for Binary Neural Networks Brayan Monroy Juan Estupiñán T. Gelvez-Barrera Jorge Bacca Henry Arguello MQ 133 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 123 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 73 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 75 10 0 17 Apr 2024
Frame Quantization of Neural Networks Wojciech Czaja Sanghoon Na 78 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 138 69 0 08 Apr 2024
BiPer: Binary Neural Networks using a Periodic Function Edwin Vargas Claudia V. Correa Carlos Hinojosa Henry Arguello MQ 130 6 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 124 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 141 1 0 29 Mar 2024
Binarized Low-light Raw Video Enhancement Gengchen Zhang Yulun Zhang Xin Yuan Ying Fu MQ 93 5 0 29 Mar 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang 94 7 0 28 Mar 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 95 61 0 28 Mar 2024
Self-Supervised Quantization-Aware Knowledge Distillation Kaiqi Zhao Ming Zhao MQ 103 5 0 17 Mar 2024
FBPT: A Fully Binary Point Transformer Zhixing Hou Yuzhang Shang Yan Yan MQ 83 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 82 0 0 13 Mar 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization Aozhong Zhang Zi Yang Naigang Wang Yingyong Qin Jack Xin Xin Li Penghang Yin VLM MQ 70 3 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 109 3 0 06 Mar 2024
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition Zhiyuan Yang Yunjiao Zhou Lihua Xie Jianfei Yang 3DPC 109 1 0 29 Feb 2024
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers Yiwei Lu Yaoliang Yu Xinlin Li Vahid Partovi Nia MQ 95 3 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 116 58 0 15 Feb 2024
Successive Refinement in Large-Scale Computation: Advancing Model Inference Applications H. Esfahanizadeh Alejandro Cohen S. Shamai Muriel Médard 70 1 0 11 Feb 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs Wei Huang Yangdong Liu Haotong Qin Ying Li Shiming Zhang Xianglong Liu Michele Magno Xiaojuan Qi MQ 143 86 0 06 Feb 2024
Quantized Approximately Orthogonal Recurrent Neural Networks Armand Foucault Franck Mamalet Franccois Malgouyres MQ 118 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 Li Liu 100 22 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 57 2 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 87 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 58 0 0 21 Jan 2024
Enabling On-device Continual Learning with Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Guido Borghi Stefano Santi MQ 117 6 0 18 Jan 2024
A foundation for exact binarized morphological neural networks T. Aouad Hugues Talbot 46 1 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 95 7 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 88 0 0 21 Dec 2023
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity Yiyue Chen H. Vikalo C. Wang FedML 100 5 0 20 Dec 2023
Sense, Predict, Adapt, Repeat: A Blueprint for Design of New Adaptive AI-Centric Sensing Systems S. Hor Amin Arbabian 74 2 0 11 Dec 2023