Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2111.13839
Cited By
Towards Principled Disentanglement for Domain Generalization
27 November 2021
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Towards Principled Disentanglement for Domain Generalization"
50 / 75 papers shown
Title
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
Aristotelis Ballas
Christos Diou
OOD
115
0
0
27 Feb 2025
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
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
Haoliang Wang
Chen Zhao
Feng Chen
26
3
0
02 Nov 2024
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
Han Wang
Yixuan Li
CML
29
0
0
26 Sep 2024
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
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
An Zhang
Han Wang
Xiang Wang
Tat-Seng Chua
42
0
0
10 Jul 2024
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
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
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
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
Mainak Singha
Ankit Jha
Shirsha Bose
Ashwin Nair
Moloud Abdar
Biplab Banerjee
VLM
35
10
0
31 Mar 2024
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
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
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
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
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
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
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
Songming Zhang
Ziyu Lyu
Xiaofeng Chen
24
1
0
25 Dec 2023
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
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
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
Jikai Jin
Vasilis Syrgkanis
CML
17
5
0
21 Nov 2023
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
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
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
Hao Chen
Qi Zhang
Zenan Huang
Haobo Wang
Jun Zhao
OOD
43
1
0
04 Oct 2023
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
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
Sharon Chokuwa
M. H. Khan
19
5
0
20 Sep 2023
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
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
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
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
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
23
2
0
17 Jul 2023
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
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
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
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
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
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
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
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
Gael Gendron
Michael Witbrock
Gillian Dobbie
OOD
AI4CE
CML
12
12
0
01 Feb 2023
1
2
Next