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Correlation Alignment for Unsupervised Domain Adaptation

Correlation Alignment for Unsupervised Domain Adaptation

6 December 2016
Baochen Sun
Jiashi Feng
Kate Saenko
    OOD
ArXivPDFHTML

Papers citing "Correlation Alignment for Unsupervised Domain Adaptation"

50 / 67 papers shown
Title
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
Ruoqi Wang
Haitao Wang
Shaojie Guo
Qiong Luo
OOD
21
0
0
18 May 2025
Test-time Correlation Alignment
Test-time Correlation Alignment
Linjing You
Jiabao Lu
Xiayuan Huang
OOD
77
0
0
01 May 2025
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
51
7
0
31 Mar 2025
Binary Losses for Density Ratio Estimation
Binary Losses for Density Ratio Estimation
Werner Zellinger
56
0
0
28 Jan 2025
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations
Yang Yuxiang
Zeng Xinyi
Zeng Pinxian
Zu Chen
Yan Binyu
Zhou Jiliu
Wang Yan
43
0
0
02 Jan 2025
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals
  using Spatio-Temporal Monge Alignment
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
Théo Gnassounou
Antoine Collas
Rémi Flamary
Karim Lounici
Alexandre Gramfort
43
3
0
19 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
Yanis Lalou
Théo Gnassounou
Antoine Collas
Antoine de Mathelin
Oleksii Kachaiev
Ambroise Odonnat
Alexandre Gramfort
Thomas Moreau
Rémi Flamary
87
0
0
16 Jul 2024
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised
  Domain Adaptation for Blind Image Quality Assessment
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
Aobo Li
Jinjian Wu
Yongxu Liu
Leida Li
38
2
0
07 May 2024
Invariant Subspace Decomposition
Invariant Subspace Decomposition
Margherita Lazzaretto
Jonas Peters
Niklas Pfister
26
0
0
15 Apr 2024
Efficiently Assemble Normalization Layers and Regularization for
  Federated Domain Generalization
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
Khiem Le-Huy
Long Ho
Cuong D. Do
Danh Le-Phuoc
Kok-Seng Wong
OOD
FedML
45
3
0
22 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan Yuille
26
1
0
12 Mar 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
51
1
0
21 Feb 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
40
4
0
31 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre
Elliot Creager
David Madras
Antonio Torralba
Katherine Heller
OOD
OODD
42
1
0
29 Dec 2023
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for
  Systematic Input Recognition
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition
Guangming Zhu
Siyuan Wang
Qing Cheng
Kelong Wu
Hao Li
Liang Zhang
36
2
0
30 Nov 2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space
  Detection Approach
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach
Zhenbang Du
Jiayu An
Yunlu Tu
Jiahao Hong
Dongrui Wu
MoE
28
1
0
01 Nov 2023
Robustness May be More Brittle than We Think under Different Degrees of
  Distribution Shifts
Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li
Yifan Zhang
Lanqing Hong
Zhenguo Li
Nevin L. Zhang
OOD
41
0
0
10 Oct 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
24
18
0
14 Jul 2023
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain
  Adaptation Speaker Verification
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification
Zhuo Li
Jingze Lu
Z. Zhao
Wenchao Wang
Pengyuan Zhang
32
1
0
22 May 2023
Learning to Adapt to Online Streams with Distribution Shifts
Learning to Adapt to Online Streams with Distribution Shifts
Chenyan Wu
Yimu Pan
Yandong Li
James Z. Wang
TTA
30
3
0
02 Mar 2023
VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge
VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge
Jaesung Huh
A. Brown
Jee-weon Jung
Joon Son Chung
Arsha Nagrani
D. Garcia-Romero
Andrew Zisserman
23
26
0
20 Feb 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
22
1
0
16 Jan 2023
Video Test-Time Adaptation for Action Recognition
Video Test-Time Adaptation for Action Recognition
Wei Lin
M. Jehanzeb Mirza
Mateusz Koziñski
Horst Possegger
Hilde Kuehne
Horst Bischof
TTA
47
31
0
24 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat
F. Imrie
M. Schaar
32
12
0
09 Nov 2022
Unsupervised Model Adaptation for Source-free Segmentation of Medical
  Images
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images
Serban Stan
Mohammad Rostami
OOD
43
10
0
02 Nov 2022
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation
Qian Wang
T. Breckon
30
3
0
25 Oct 2022
PCGen: Point Cloud Generator for LiDAR Simulation
PCGen: Point Cloud Generator for LiDAR Simulation
Chenqi Li
Y. Ren
Bingbing Liu
3DPC
16
18
0
17 Oct 2022
Visual Prompt Tuning for Test-time Domain Adaptation
Visual Prompt Tuning for Test-time Domain Adaptation
Yunhe Gao
Xingjian Shi
Yi Zhu
Hongya Wang
Zhiqiang Tang
Xiong Zhou
Mu Li
Dimitris N. Metaxas
VPVLM
VLM
37
83
0
10 Oct 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
45
101
0
09 Oct 2022
Test-Time Adaptation with Principal Component Analysis
Test-Time Adaptation with Principal Component Analysis
Thomas Cordier
Victor Bouvier
Gilles Hénaff
C´eline Hudelot
TTA
35
1
0
13 Sep 2022
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain
Lianyu Wang
Meng Wang
Daoqiang Zhang
Huazhu Fu
24
2
0
05 Sep 2022
Domain Adaptation Principal Component Analysis: base linear method for
  learning with out-of-distribution data
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data
Evgeny M Mirkes
Jonathan Bac
Aziz Fouché
Sergey V. Stasenko
A. Zinovyev
Alexander N. Gorban
OOD
19
15
0
28 Aug 2022
Source-free Unsupervised Domain Adaptation for Blind Image Quality
  Assessment
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment
Jianzhao Liu
Xin Li
Shukun An
Zhibo Chen
24
13
0
17 Jul 2022
Discovering Domain Disentanglement for Generalized Multi-source Domain
  Adaptation
Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation
Zixin Wang
Yadan Luo
Peng Zhang
Sen Wang
Zi Huang
21
4
0
11 Jul 2022
Predicting is not Understanding: Recognizing and Addressing
  Underspecification in Machine Learning
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning
Damien Teney
Maxime Peyrard
Ehsan Abbasnejad
38
29
0
06 Jul 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online
  Handwriting Recognition with Domain Shift
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift
Andreas Klass
Sven M. Lorenz
M. Lauer-Schmaltz
David Rügamer
Bernd Bischl
Christopher Mutschler
Felix Ott
37
10
0
17 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
Feng Yu
TTA
52
149
0
16 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
35
31
0
07 Apr 2022
Improving Molecular Representation Learning with Metric
  Learning-enhanced Optimal Transport
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
Fang Wu
Nicolas Courty
Shuting Jin
Stan Z. Li
OOD
OT
26
8
0
13 Feb 2022
Simulation-to-Reality domain adaptation for offline 3D object annotation
  on pointclouds with correlation alignment
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment
Weishuang Zhang
Ravi Kiran
T. Gauthier
Yanis Mazouz
Théo Steger
3DPC
19
0
0
06 Feb 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Ce Ju
Cuntai Guan
48
3
0
15 Jan 2022
FRuDA: Framework for Distributed Adversarial Domain Adaptation
FRuDA: Framework for Distributed Adversarial Domain Adaptation
Shaoduo Gan
Akhil Mathur
Anton Isopoussu
F. Kawsar
N. Bianchi-Berthouze
Nicholas D. Lane
19
12
0
26 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation
  Perspective
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Yuejiang Liu
Riccardo Cadei
Jonas Schweizer
Sherwin Bahmani
Alexandre Alahi
OOD
TTA
38
51
0
29 Nov 2021
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Y. Lu
AI4TS
38
7
0
27 Nov 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
35
12
0
25 Sep 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization
  and Input Transformation
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
Chaithanya Kumar Mummadi
Robin Hutmacher
K. Rambach
Evgeny Levinkov
Thomas Brox
J. H. Metzen
TTA
OOD
35
70
0
28 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions
  are Absent
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent
Samira Abnar
Rianne van den Berg
Golnaz Ghiasi
Mostafa Dehghani
Nal Kalchbrenner
Hanie Sedghi
OOD
CLL
TTA
36
21
0
10 Jun 2021
Contrastive Learning of Single-Cell Phenotypic Representations for
  Treatment Classification
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
A. Perakis
A. Gorji
Samriddhi Jain
K. Chaitanya
Simone Rizza
E. Konukoglu
SSL
21
33
0
30 Mar 2021
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with
  Multiple Sources
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sicheng Zhao
Yang Xiao
Jiang Guo
Xiangyu Yue
Jufeng Yang
Ravi Krishna
Pengfei Xu
Kurt Keutzer
27
17
0
17 Nov 2020
A Brief Review of Domain Adaptation
A Brief Review of Domain Adaptation
Abolfazl Farahani
Sahar Voghoei
Khaled Rasheed
H. Arabnia
OOD
36
527
0
07 Oct 2020
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