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HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation

HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation

27 December 2019
Chao Chen
Zhihang Fu
Zhihong Chen
Sheng Jin
Zhaowei Cheng
Xinyu Jin
Xiansheng Hua
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Papers citing "HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation"

24 / 24 papers shown
Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
N. Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
49
7
0
31 Mar 2025
Binary Losses for Density Ratio Estimation
Binary Losses for Density Ratio Estimation
Werner Zellinger
53
0
0
28 Jan 2025
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
31
1
0
10 Oct 2024
Generalizing Segmentation Foundation Model Under Sim-to-real
  Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Yuxuan Wen
Evgenia Roussinova
Olivier Brina
Paolo Machi
Mohamed Bouri
OOD
MedIm
23
1
0
09 Oct 2024
Overcoming Saturation in Density Ratio Estimation by Iterated
  Regularization
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
Lukas Gruber
Markus Holzleitner
Johannes Lehner
Sepp Hochreiter
Werner Zellinger
46
1
0
21 Feb 2024
Compositional Semantic Mix for Domain Adaptation in Point Cloud
  Segmentation
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Cristiano Saltori
Fabio Galasso
G. Fiameni
N. Sebe
Fabio Poiesi
Elisa Ricci
3DPC
34
19
0
28 Aug 2023
Source-Free Domain Adaptation with Temporal Imputation for Time Series
  Data
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Min-man Wu
Chuan-Sheng Foo
Xiaoli Li
Zhenghua Chen
TTA
AI4TS
19
18
0
14 Jul 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model
  Compression on Time Series Data
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
Qing Xu
Min-man Wu
Xiaoli Li
K. Mao
Zhenghua Chen
19
5
0
07 Jul 2023
Deep into The Domain Shift: Transfer Learning through Dependence
  Regularization
Deep into The Domain Shift: Transfer Learning through Dependence Regularization
Shumin Ma
Zhiri Yuan
Qi Wu
Yiyan Huang
Xixu Hu
Cheuk Hang Leung
DongDong Wang
Zhixiang Huang
OOD
19
6
0
31 May 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for
  Efficient Source Free Domain Adaptation
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
Nazmul Karim
Niluthpol Chowdhury Mithun
Abhinav Rajvanshi
Han-Pang Chiu
S. Samarasekera
Nazanin Rahnavard
TTA
21
56
0
30 Mar 2023
Representation Learning for Tablet and Paper Domain Adaptation in Favor
  of Online Handwriting Recognition
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
14
1
0
16 Jan 2023
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain
  Adaptation
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation
Hao Yan
Yuhong Guo
8
4
0
15 Dec 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
37
100
0
09 Oct 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
26
45
0
13 Jun 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
TTA
AI4TS
31
31
0
07 Apr 2022
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Self-supervised Autoregressive Domain Adaptation for Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
27
49
0
29 Nov 2021
Fine-grained Domain Adaptive Crowd Counting via Point-derived
  Segmentation
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation
Yongtuo Liu
Dan Xu
Sucheng Ren
Han-Zhen Wu
Hongmin Cai
Shengfeng He
24
10
0
06 Aug 2021
Multiple Classifiers Based Maximum Classifier Discrepancy for
  Unsupervised Domain Adaptation
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Yiju Yang
Taejoon Kim
Guanghui Wang
47
2
0
02 Aug 2021
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
31
4
0
21 Jun 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain Generalization
Bo-wen Li
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
32
105
0
11 Jun 2021
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for
  Source-Free Unsupervised Domain Adaptation
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation
Waqar Ahmed
Pietro Morerio
Vittorio Murino
13
4
0
29 Mar 2021
RCoNet: Deformable Mutual Information Maximization and High-order
  Uncertainty-aware Learning for Robust COVID-19 Detection
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection
Shunjie Dong
Qianqian Yang
Yu Fu
Mei Tian
Cheng Zhuo
OOD
17
42
0
22 Feb 2021
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
34
263
0
01 Sep 2020
Rethinking Distributional Matching Based Domain Adaptation
Rethinking Distributional Matching Based Domain Adaptation
Bo-wen Li
Yezhen Wang
Tong Che
Shanghang Zhang
Sicheng Zhao
Pengfei Xu
Wei Zhou
Yoshua Bengio
Kurt Keutzer
OOD
16
59
0
23 Jun 2020
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