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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
v1v2v3v4 (latest)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXiv (abs)PDFHTML

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

50 / 1,731 papers shown
Title
Fast and Slow Gradient Approximation for Binary Neural Network
  Optimization
Fast and Slow Gradient Approximation for Binary Neural Network Optimization
Xinquan Chen
Junqi Gao
Biqing Qi
Dong Li
Yiang Luo
Fangyuan Li
Pengfei Li
MQ
125
0
0
16 Dec 2024
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI
  Accelerators
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
Taesik Gong
F. Kawsar
Chulhong Min
121
3
0
09 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
183
19
0
09 Dec 2024
Efficient Ternary Weight Embedding Model: Bridging Scalability and
  Performance
Efficient Ternary Weight Embedding Model: Bridging Scalability and Performance
Jiayi Chen
Chen Wu
Shanghang Zhang
Nan Li
Lefei Zhang
Qi Zhang
130
0
0
23 Nov 2024
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
Amira Guesmi
B. Ouni
Mohamed Bennai
AAML
165
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
131
3
0
18 Nov 2024
Efficient Model Compression for Bayesian Neural Networks
Efficient Model Compression for Bayesian Neural Networks
Diptarka Saha
Zihe Liu
Feng Liang
BDL
56
0
0
01 Nov 2024
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with
  2-bit Activation Model Achieves Practical ImageNet Accuracy
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet Accuracy
Shuntaro Takahashi
Takuya Wakisaka
Hiroyuki Tokunaga
MQ
75
0
0
15 Oct 2024
Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
Arrhythmia Classification Using Graph Neural Networks Based on Correlation Matrix
Seungwoo Han
76
0
0
14 Oct 2024
Gradient-Free Neural Network Training on the Edge
Gradient-Free Neural Network Training on the Edge
Dotan Di Castro
O. Joglekar
Shir Kozlovsky
Vladimir Tchuiev
Michal Moshkovitz
MQ
40
0
0
13 Oct 2024
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary
  Mobile Environments
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments
Cheng Fang
Sicong Liu
Zimu Zhou
Bin Guo
Jiaqi Tang
Ke Ma
Zhiwen Yu
TTA
75
1
0
10 Oct 2024
Growing Efficient Accurate and Robust Neural Networks on the Edge
Growing Efficient Accurate and Robust Neural Networks on the Edge
Vignesh Sundaresha
Naresh Shanbhag
81
0
0
10 Oct 2024
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Mixture Compressor for Mixture-of-Experts LLMs Gains More
Wei Huang
Yue Liao
Jianhui Liu
Ruifei He
Haoru Tan
Shiming Zhang
Hongsheng Li
Si Liu
Xiaojuan Qi
MoE
134
4
0
08 Oct 2024
Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable
  Spiking Inference Accelerator Architecture Design Methodology
Hardware-Software Co-optimised Fast and Accurate Deep Reconfigurable Spiking Inference Accelerator Architecture Design Methodology
Anagha Nimbekar
Prabodh Katti
Chen Li
Bashir M. Al-Hashimi
Amit Acharyya
Bipin Rajendran
23
0
0
07 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li
Xinyu Yan
Tianao Zhang
Haotong Qin
Dong Xie
Jiang Tian
Zhongchao Shi
Linghe Kong
Yulun Zhang
Xiaokang Yang
MQ
99
8
0
04 Oct 2024
CycleBNN: Cyclic Precision Training in Binary Neural Networks
CycleBNN: Cyclic Precision Training in Binary Neural Networks
Federico Fontana
Romeo Lanzino
Anxhelo Diko
G. Foresti
Luigi Cinque
MQ
110
0
0
28 Sep 2024
Art and Science of Quantizing Large-Scale Models: A Comprehensive
  Overview
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
109
3
0
18 Sep 2024
Robust Training of Neural Networks at Arbitrary Precision and Sparsity
Robust Training of Neural Networks at Arbitrary Precision and Sparsity
Chengxi Ye
Grace Chu
Yanfeng Liu
Yichi Zhang
Lukasz Lew
Andrew G. Howard
MQ
66
2
0
14 Sep 2024
Data-free Distillation with Degradation-prompt Diffusion for
  Multi-weather Image Restoration
Data-free Distillation with Degradation-prompt Diffusion for Multi-weather Image Restoration
Pei Wang
Xiaotong Luo
Yuan Xie
Yanyun Qu
DiffM
139
1
0
05 Sep 2024
Learning in Order! A Sequential Strategy to Learn Invariant Features for
  Multimodal Sentiment Analysis
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis
Xianbing Zhao
Zhuang Li
Tao Feng
Jianfei Cai
Buzhou Tang
102
1
0
05 Sep 2024
PSE-Net: Channel Pruning for Convolutional Neural Networks with
  Parallel-subnets Estimator
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator
Shiguang Wang
Tao Xie
Haijun Liu
Xingcheng Zhang
Jian Cheng
90
2
0
29 Aug 2024
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit
Chang Gao
Jianfei Chen
Kang Zhao
Jiaqi Wang
Liping Jing
MQ
86
2
0
26 Aug 2024
Infrared Domain Adaptation with Zero-Shot Quantization
Infrared Domain Adaptation with Zero-Shot Quantization
Burak Sevsay
Erdem Akagündüz
VLMMQ
136
1
0
25 Aug 2024
Neural Symbolic Logical Rule Learner for Interpretable Learning
Neural Symbolic Logical Rule Learner for Interpretable Learning
Bowen Wei
Ziwei Zhu
AI4CE
70
0
0
21 Aug 2024
Computer Vision Model Compression Techniques for Embedded Systems: A
  Survey
Computer Vision Model Compression Techniques for Embedded Systems: A Survey
Alexandre Lopes
Fernando Pereira dos Santos
D. Oliveira
Mauricio Schiezaro
Hélio Pedrini
94
11
0
15 Aug 2024
Infra-YOLO: Efficient Neural Network Structure with Model Compression
  for Real-Time Infrared Small Object Detection
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
51
0
0
14 Aug 2024
FedBAT: Communication-Efficient Federated Learning via Learnable
  Binarization
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
Shiwei Li
Wenchao Xu
Haozhao Wang
Xing Tang
Tianzhe Xiao
Shijie Xu
Weihong Luo
Yuhua Li
Xiuqiang He
Ruixuan Li
FedML
81
4
0
06 Aug 2024
Cascading Refinement Video Denoising with Uncertainty Adaptivity
Cascading Refinement Video Denoising with Uncertainty Adaptivity
Xinyuan Yu
VGen
73
0
0
05 Aug 2024
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
Peijie Dong
Lujun Li
Dayou Du
Yuhan Chen
Zhenheng Tang
...
Wei Xue
Wenhan Luo
Qi-fei Liu
Yi-Ting Guo
Xiaowen Chu
MQ
96
10
0
03 Aug 2024
An Efficient Real-Time Object Detection Framework on
  Resource-Constricted Hardware Devices via Software and Hardware Co-design
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design
Mingshuo Liu
Shiyi Luo
Kevin Han
Magno T. M. Silva
R. Demara
Ali H. Sayed
ObjD
97
0
0
02 Aug 2024
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
Kanghyun Choi
Hyeyoon Lee
Dain Kwon
Sunjong Park
Kyuyeun Kim
Noseong Park
Jinho Lee
Jinho Lee
MQ
142
2
0
29 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Yushi Huang
Ruihao Gong
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
MQDiffM
130
0
0
28 Jul 2024
Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for
  Vision Transformers
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
98
5
0
25 Jul 2024
Pixel Embedding: Fully Quantized Convolutional Neural Network with
  Differentiable Lookup Table
Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
Hiroyuki Tokunaga
Joel Nicholls
Daria Vazhenina
Atsunori Kanemura
MQ
25
1
0
23 Jul 2024
Toward Efficient Convolutional Neural Networks With Structured Ternary
  Patterns
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns
Christos Kyrkou
77
0
0
20 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization
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
85
0
0
20 Jul 2024
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of
  Learnable Binary Vectors
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
MQ
114
0
0
16 Jul 2024
NITRO-D: Native Integer-only Training of Deep Convolutional Neural
  Networks
NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networks
Alberto Pirillo
Luca Colombo
Manuel Roveri
MQ
123
0
0
16 Jul 2024
Co-Designing Binarized Transformer and Hardware Accelerator for
  Efficient End-to-End Edge Deployment
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
98
1
0
16 Jul 2024
Quality Scalable Quantization Methodology for Deep Learning on Edge
Quality Scalable Quantization Methodology for Deep Learning on Edge
S. Khaliq
Rehan Hafiz
MQ
86
1
0
15 Jul 2024
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive
  Distillation
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
Liqun Ma
Mingjie Sun
Zhiqiang Shen
92
9
0
09 Jul 2024
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks
Jingyang Xiang
Zuohui Chen
Siqi Li
Qing Wu
Yong-Jin Liu
92
1
0
07 Jul 2024
ISQuant: apply squant to the real deployment
ISQuant: apply squant to the real deployment
Dezan Zhao
MQ
78
0
0
05 Jul 2024
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
Tao Chen
Chenhui Wang
Zhihao Chen
Yiming Lei
Hongming Shan
MedIm
99
14
0
03 Jul 2024
GPTQT: Quantize Large Language Models Twice to Push the Efficiency
GPTQT: Quantize Large Language Models Twice to Push the Efficiency
Yipin Guo
Yilin Lang
Qinyuan Ren
MQ
49
1
0
03 Jul 2024
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid
  Computation
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computation
Yipin Guo
Zihao Li
Yilin Lang
Qinyuan Ren
96
0
0
03 Jul 2024
A Comprehensive Study of Structural Pruning for Vision Models
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
86
0
0
18 Jun 2024
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for
  Large Language Models
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
Dongwon Jo
Taesu Kim
Yulhwa Kim
Jae-Joon Kim
145
5
0
18 Jun 2024
ME-Switch: A Memory-Efficient Expert Switching Framework for Large
  Language Models
ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models
Jing Liu
Ruihao Gong
Mingyang Zhang
Yefei He
Jianfei Cai
Bohan Zhuang
MoE
83
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0
13 Jun 2024
Factor Graph Optimization of Error-Correcting Codes for Belief
  Propagation Decoding
Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decoding
Yoni Choukroun
Lior Wolf
80
1
0
09 Jun 2024
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