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XNOR-Net++: Improved Binary Neural Networks

XNOR-Net++: Improved Binary Neural Networks

30 September 2019
Adrian Bulat
Georgios Tzimiropoulos
    MQ
ArXivPDFHTML

Papers citing "XNOR-Net++: Improved Binary Neural Networks"

50 / 108 papers shown
Title
Expanding-and-Shrinking Binary Neural Networks
Expanding-and-Shrinking Binary Neural Networks
Xulong Shi
Caiyi Sun
Zhi Qi
Liu Hao
Xiaodong Yang
MQ
54
0
0
31 Mar 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
J. Zhao
Miao Zhang
M. Wang
Yuzhang Shang
Kaihao Zhang
Weili Guan
Yaowei Wang
Min Zhang
MQ
44
0
0
18 Feb 2025
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
J. Chen
Kang Zhao
Jiaqi Wang
Liping Jing
MQ
35
2
0
26 Aug 2024
Neural Symbolic Logical Rule Learner for Interpretable Learning
Neural Symbolic Logical Rule Learner for Interpretable Learning
Bowen Wei
Ziwei Zhu
AI4CE
21
0
0
21 Aug 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
26
1
0
07 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
29
8
0
03 Jul 2024
USM RNN-T model weights binarization
USM RNN-T model weights binarization
Oleg Rybakov
Dmitriy Serdyuk
Chengjian Zheng
MQ
26
0
0
05 Jun 2024
BiPer: Binary Neural Networks using a Periodic Function
BiPer: Binary Neural Networks using a Periodic Function
Edwin Vargas
Claudia V. Correa
Carlos Hinojosa
Henry Arguello
MQ
30
5
0
01 Apr 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained
  Model
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model
Jihun Kim
Dahyun Kim
Hyungrok Jung
Taeil Oh
Jonghyun Choi
MQ
47
0
0
30 Mar 2024
$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections
VkD:V_kD:Vk​D: Improving Knowledge Distillation using Orthogonal Projections
Roy Miles
Ismail Elezi
Jiankang Deng
44
10
0
10 Mar 2024
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
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
26
3
0
06 Mar 2024
Lightweight Pixel Difference Networks for Efficient Visual
  Representation Learning
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Z. Su
Jiehua Zhang
Longguang Wang
Hua Zhang
Zhen Liu
M. Pietikäinen
Li Liu
30
21
0
01 Feb 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural
  Networks
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
Peng Zhao
Jiehua Zhang
Bowen Peng
Longguang Wang
Yingmei Wei
Yu Liu
Li Liu
AAML
19
0
0
21 Dec 2023
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar
Yash Jain
Alexey Tumanov
MQ
52
0
0
04 Dec 2023
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using
  Stochastic Scale
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
15
7
0
27 Nov 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary
  Gradients
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Juho Kannala
Tat-Jun Chin
Tolga Birdal
MQ
67
2
0
23 Oct 2023
BitNet: Scaling 1-bit Transformers for Large Language Models
BitNet: Scaling 1-bit Transformers for Large Language Models
Hongyu Wang
Shuming Ma
Li Dong
Shaohan Huang
Huaijie Wang
Lingxiao Ma
Fan Yang
Ruiping Wang
Yi Wu
Furu Wei
MQ
20
95
0
17 Oct 2023
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence
  Classification
Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification
Junjie Dong
Mudi Jiang
Lianyu Hu
Zengyou He
17
0
0
16 Oct 2023
QuantEase: Optimization-based Quantization for Language Models
QuantEase: Optimization-based Quantization for Language Models
Kayhan Behdin
Ayan Acharya
Aman Gupta
Qingquan Song
Siyu Zhu
S. Keerthi
Rahul Mazumder
MQ
22
19
0
05 Sep 2023
MST-compression: Compressing and Accelerating Binary Neural Networks
  with Minimum Spanning Tree
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree
Quang Hieu Vo
Linh-Tam Tran
Sung-Ho Bae
Lokwon Kim
Choong Seon Hong
MQ
32
1
0
26 Aug 2023
Estimator Meets Equilibrium Perspective: A Rectified Straight Through
  Estimator for Binary Neural Networks Training
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
Xiao-Ming Wu
Dian Zheng
Zuhao Liu
Weishi Zheng
MQ
34
16
0
13 Aug 2023
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit
  CNNs
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs
Yanjing Li
Sheng Xu
Xianbin Cao
Lian Zhuo
Baochang Zhang
Tian Wang
Guodong Guo
30
3
0
27 Jun 2023
BinaryViT: Towards Efficient and Accurate Binary Vision Transformers
Junrui Xiao
Zhikai Li
Lianwei Yang
Qingyi Gu
MQ
ViT
30
2
0
24 May 2023
BitGNN: Unleashing the Performance Potential of Binary Graph Neural
  Networks on GPUs
BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs
Jou-An Chen
Hsin-Hsuan Sung
Xipeng Shen
Sutanay Choudhury
Ang Li
GNN
MQ
26
6
0
04 May 2023
Deep Convolutional Tables: Deep Learning without Convolutions
Deep Convolutional Tables: Deep Learning without Convolutions
S. Dekel
Y. Keller
Aharon Bar-Hillel
3DV
17
0
0
23 Apr 2023
Efficient Feature Description for Small Body Relative Navigation using
  Binary Convolutional Neural Networks
Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks
Travis Driver
Panagiotis Tsiotras
24
0
0
11 Apr 2023
Optimizing data-flow in Binary Neural Networks
Optimizing data-flow in Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Stefano Santi
MQ
9
5
0
03 Apr 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud
  Analysis
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
Xiuwei Xu
Ziwei Wang
Jie Zhou
Jiwen Lu
3DPC
MQ
23
6
0
27 Mar 2023
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
Xiaoting Wang
Yanxiang Zhang
Yongzhen Zhang
28
5
0
20 Mar 2023
Understanding weight-magnitude hyperparameters in training binary
  networks
Understanding weight-magnitude hyperparameters in training binary networks
Joris Quist
Yun-qiang Li
J. C. V. Gemert
MQ
26
0
0
04 Mar 2023
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
F. I. F. Richard Yu
Xianglong Liu
MQ
AAML
22
36
0
26 Jan 2023
Signed Binary Weight Networks
Sachit Kuhar
Alexey Tumanov
Judy Hoffman
MQ
11
1
0
25 Nov 2022
Join the High Accuracy Club on ImageNet with A Binary Neural Network
  Ticket
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
Nianhui Guo
Joseph Bethge
Christoph Meinel
Haojin Yang
MQ
24
19
0
23 Nov 2022
BiViT: Extremely Compressed Binary Vision Transformer
BiViT: Extremely Compressed Binary Vision Transformer
Yefei He
Zhenyu Lou
Luoming Zhang
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
ViT
MQ
18
28
0
14 Nov 2022
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to
  Real-Network Performance
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
Haotong Qin
Xudong Ma
Yifu Ding
X. Li
Yang Zhang
Zejun Ma
Jiakai Wang
Jie Luo
Xianglong Liu
MQ
38
20
0
13 Nov 2022
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Jiehua Zhang
Xueyang Zhang
Z. Su
Zitong Yu
Yanghe Feng
Xin Lu
M. Pietikäinen
Li Liu
MQ
27
0
0
04 Nov 2022
IR2Net: Information Restriction and Information Recovery for Accurate
  Binary Neural Networks
IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks
Ping Xue
Yang Lu
Jingfei Chang
Xing Wei
Zhen Wei
MQ
67
0
0
06 Oct 2022
Convolutional Neural Networks Quantization with Attention
Convolutional Neural Networks Quantization with Attention
Binyi Wu
Bernd Waschneck
Christian Mayr
MQ
10
1
0
30 Sep 2022
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using
  End-to-end Full-precision Information Flow
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow
Zhiqiang Lang
Chongxing Song
Lei Zhang
Wei Wei
SupR
MQ
32
4
0
14 Jul 2022
Lipschitz Continuity Retained Binary Neural Network
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
11
19
0
13 Jul 2022
Network Binarization via Contrastive Learning
Network Binarization via Contrastive Learning
Yuzhang Shang
Dan Xu
Ziliang Zong
Liqiang Nie
Yan Yan
AAML
MQ
20
21
0
06 Jul 2022
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple
  Quantization Steps
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps
Hyunjin Kim
Jungwoon Shin
Alberto A. Del Barrio
MQ
21
1
0
26 Jun 2022
How to train accurate BNNs for embedded systems?
How to train accurate BNNs for embedded systems?
F. D. Putter
Henk Corporaal
MQ
16
6
0
24 Jun 2022
Searching Similarity Measure for Binarized Neural Networks
Searching Similarity Measure for Binarized Neural Networks
Yanfei Li
Ang Li
Huimin Yu
26
0
0
05 Jun 2022
Online Hybrid Lightweight Representations Learning: Its Application to
  Visual Tracking
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung
Minji Kim
Eunhyeok Park
Bohyung Han
11
3
0
23 May 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
Kinshuk Dua
FedML
MQ
18
0
0
19 May 2022
Fast matrix multiplication for binary and ternary CNNs on ARM CPU
Fast matrix multiplication for binary and ternary CNNs on ARM CPU
A. Trusov
E. Limonova
D. Nikolaev
V. Arlazarov
MQ
20
5
0
18 May 2022
Binarizing by Classification: Is soft function really necessary?
Binarizing by Classification: Is soft function really necessary?
Yefei He
Luoming Zhang
Weijia Wu
Hong Zhou
MQ
18
3
0
16 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Jing Yang
Xiatian Zhu
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
29
7
0
13 May 2022
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold
Chang-Ho Lee
Hyungjun Kim
Eunhyeok Park
Jae-Joon Kim
MQ
22
9
0
15 Apr 2022
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