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Towards Principled Disentanglement for Domain Generalization

Towards Principled Disentanglement for Domain Generalization

27 November 2021
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
    OOD
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Papers citing "Towards Principled Disentanglement for Domain Generalization"

50 / 75 papers shown
Title
Domain Generalization via Discrete Codebook Learning
Domain Generalization via Discrete Codebook Learning
Shaocong Long
Qianyu Zhou
Xikun Jiang
Chenhao Ying
Lizhuang Ma
Yuan Luo
36
0
0
09 Apr 2025
Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work
Kevin Wilkinghoff
Takuya Fujimura
Keisuke Imoto
Jonathan Le Roux
Zheng-Hua Tan
T. Toda
48
0
0
13 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
115
0
0
27 Feb 2025
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
31
1
0
08 Jan 2025
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain
  Generalization
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization
Pengkun Jiao
Na Zhao
Jingjing Chen
Yu-Gang Jiang
OOD
31
0
0
05 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance
  Meta-Learning
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning
Haoliang Wang
Chen Zhao
Feng Chen
26
3
0
02 Nov 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural
  Networks
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gael Gendron
Michael Witbrock
Gillian Dobbie
CML
BDL
OOD
28
0
0
08 Oct 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang
Yixuan Li
CML
29
0
0
26 Sep 2024
Learning Fair Invariant Representations under Covariate and Correlation
  Shifts Simultaneously
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
Dong Li
Chen Zhao
Minglai Shao
Wenjun Wang
OOD
FaML
27
2
0
18 Aug 2024
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A
  Contextual Correspondence View
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View
Jianan Fan
Dongnan Liu
Canran Li
Hang Chang
Heng-Chiao Huang
Filip Braet
Mei Chen
Weidong Cai
40
4
0
14 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang
Han Wang
Xiang Wang
Tat-Seng Chua
42
0
0
10 Jul 2024
Domain Agnostic Conditional Invariant Predictions for Domain
  Generalization
Domain Agnostic Conditional Invariant Predictions for Domain Generalization
Zongbin Wang
Bin Pan
Zhenwei Shi
OOD
29
0
0
09 Jun 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object
  Detection
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection
Yajing Liu
Shijun Zhou
Xiyao Liu
Chunhui Hao
Baojie Fan
Jiandong Tian
ObjD
34
10
0
24 May 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for
  Out-of-Distribution Text Classification with Pre-trained Models
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
Tao Feng
Lizhen Qu
Zhuang Li
Haolan Zhan
Yuncheng Hua
Gholamreza Haffari
VLM
32
1
0
21 Apr 2024
DGMamba: Domain Generalization via Generalized State Space Model
DGMamba: Domain Generalization via Generalized State Space Model
Shaocong Long
Qianyu Zhou
Xiangtai Li
Xuequan Lu
Chenhao Ying
Yuan Luo
Lizhuang Ma
Shuicheng Yan
49
9
0
11 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open
  Domain Generalization
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha
Ankit Jha
Shirsha Bose
Ashwin Nair
Moloud Abdar
Biplab Banerjee
VLM
35
10
0
31 Mar 2024
Graphs Generalization under Distribution Shifts
Graphs Generalization under Distribution Shifts
Qin Tian
Wenjun Wang
Chen Zhao
Minglai Shao
Wang Zhang
Dong Li
OOD
17
2
0
25 Mar 2024
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse
  Weather Conditions
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
Baolu Li
Jinlong Li
Xinyu Liu
Runsheng Xu
Zhengzhong Tu
Jiacheng Guo
Xiaopeng Li
Hongkai Yu
29
3
0
17 Mar 2024
Recurrent Aligned Network for Generalized Pedestrian Trajectory
  Prediction
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
Yonghao Dong
Le Wang
Sanpin Zhou
Gang Hua
Changyin Sun
37
5
0
09 Mar 2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Inseop Chung
Kyomin Hwang
Jayeon Yoo
Nojun Kwak
TTA
49
0
0
02 Mar 2024
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with
  Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in
  Aneurysm Segmentation
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation
Fengming Lin
Yan Xia
Michael MacRaild
Yash Deo
Haoran Dou
Qiongyao Liu
Nina Cheng
Nishant Ravikumar
Alejandro F. Frangi
26
0
0
23 Feb 2024
A Survey on Domain Generalization for Medical Image Analysis
Ziwei Niu
Shuyi Ouyang
Shiao Xie
Yen-wei Chen
Lanfen Lin
OOD
LM&MA
25
5
0
07 Feb 2024
Decoupled Prototype Learning for Reliable Test-Time Adaptation
Decoupled Prototype Learning for Reliable Test-Time Adaptation
Guowei Wang
Changxing Ding
Wentao Tan
Mingkui Tan
VLM
24
2
0
15 Jan 2024
Mixture Data for Training Cannot Ensure Out-of-distribution
  Generalization
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
Songming Zhang
Yuxiao Luo
Qizhou Wang
Haoang Chi
Xiaofeng Chen
Bo Han
Jinyan Li
OODD
30
0
0
25 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift
Revisiting Knowledge Distillation under Distribution Shift
Songming Zhang
Ziyu Lyu
Xiaofeng Chen
24
1
0
25 Dec 2023
Domain Invariant Learning for Gaussian Processes and Bayesian
  Exploration
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao
Siyuan Bian
Yaoyun Zhang
Yuliang Zhang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
21
1
0
18 Dec 2023
Algorithmic Fairness Generalization under Covariate and Dependence
  Shifts Simultaneously
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
Chengli Zhao
Kai Jiang
Xintao Wu
Haoliang Wang
Latifur Khan
Christan Earl Grant
Feng Chen
OOD
22
4
0
23 Nov 2023
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color
  Perturbation and Dual-style Memory
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory
Lei Qi
Peng Dong
Tan Xiong
Hui Xue
Xin Geng
26
4
0
22 Nov 2023
Learning Causal Representations from General Environments:
  Identifiability and Intrinsic Ambiguity
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
Jikai Jin
Vasilis Syrgkanis
CML
17
5
0
21 Nov 2023
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
Chamuditha Jayanga Galappaththige
Gayal Kuruppu
Muhammad Haris Khan
OOD
14
7
0
26 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of
  Parameter Distributions
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
BDL
OOD
16
1
0
25 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category
  Shift
Activate and Reject: Towards Safe Domain Generalization under Category Shift
Chaoqi Chen
Luyao Tang
Leitian Tao
Hong-Yu Zhou
Yue Huang
Xiaoguang Han
Yizhou Yu
OOD
15
10
0
07 Oct 2023
Towards Domain-Specific Features Disentanglement for Domain
  Generalization
Towards Domain-Specific Features Disentanglement for Domain Generalization
Hao Chen
Qi Zhang
Zenan Huang
Haobo Wang
Jun Zhao
OOD
43
1
0
04 Oct 2023
Rethinking Domain Generalization: Discriminability and Generalizability
Rethinking Domain Generalization: Discriminability and Generalizability
Shaocong Long
Qianyu Zhou
Chenhao Ying
Lizhuang Ma
Yuan Luo
OOD
AI4CE
21
12
0
28 Sep 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by
  Online Ensembling
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
Yifan Zhang
Qingsong Wen
Xue Wang
Weiqiu Chen
Liang Sun
Z. Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
AI4TS
41
28
0
22 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational
  Autoencoders
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa
M. H. Khan
19
5
0
20 Sep 2023
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain
  Generalization Perspective
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective
Haoliang Wang
Chen Zhao
Yunhui Guo
Kai Jiang
Feng Chen
25
1
0
18 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification
  Model for Domain Generalization
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Xi Yu
Huan-Hsin Tseng
Shinjae Yoo
Haibin Ling
Yuewei Lin
OOD
27
10
0
08 Sep 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution
  Detection and Generalization
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
Wang Lu
Jindong Wang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODD
AI4TS
20
15
0
04 Aug 2023
Flatness-Aware Minimization for Domain Generalization
Flatness-Aware Minimization for Domain Generalization
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
14
20
0
20 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
23
2
0
17 Jul 2023
Towards Fair Disentangled Online Learning for Changing Environments
Towards Fair Disentangled Online Learning for Changing Environments
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Christan Earl Grant
Feng Chen
14
15
0
31 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for
  Domain Generalization
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Yunze Tong
Junkun Yuan
Min Zhang
Di-hua Zhu
Keli Zhang
Fei Wu
Kun Kuang
26
7
0
25 May 2023
Moderately Distributional Exploration for Domain Generalization
Moderately Distributional Exploration for Domain Generalization
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
58
18
0
27 Apr 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
Yi-Fan Zhang
Xue Wang
Kexin Jin
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OOD
12
42
0
25 Apr 2023
Improving Generalization with Domain Convex Game
Improving Generalization with Domain Convex Game
Fangrui Lv
Jian Liang
Shuang Li
Jinming Zhang
Di Liu
16
6
0
23 Mar 2023
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency
  Transform for Domain Generalization
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization
Jintao Guo
Na Wang
Lei Qi
Yinghuan Shi
27
33
0
21 Mar 2023
Domain Generalization in Machine Learning Models for Wireless
  Communications: Concepts, State-of-the-Art, and Open Issues
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
E. Hossain
OOD
AI4CE
29
26
0
13 Mar 2023
Modality-Agnostic Debiasing for Single Domain Generalization
Modality-Agnostic Debiasing for Single Domain Generalization
Sanqing Qu
Yingwei Pan
Guang-Sheng Chen
Ting Yao
Changjun Jiang
Tao Mei
28
20
0
13 Mar 2023
A Survey of Methods, Challenges and Perspectives in Causality
A Survey of Methods, Challenges and Perspectives in Causality
Gael Gendron
Michael Witbrock
Gillian Dobbie
OOD
AI4CE
CML
12
12
0
01 Feb 2023
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