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Towards Principled Disentanglement for Domain Generalization
Computer Vision and Pattern Recognition (CVPR), 2021
27 November 2021
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric Xing
OOD
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Papers citing
"Towards Principled Disentanglement for Domain Generalization"
50 / 75 papers shown
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
Tan Pan
Kaiyu Guo
Dongli Xu
Zhaorui Tan
Chen Jiang
...
Xin Guo
Brian C. Lovell
Limei Han
Yuan Cheng
Mahsa Baktashmotlagh
196
0
0
19 Sep 2025
Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective
Jiacheng Jiang
Yuan Meng
Chen Tang
Han Yu
Qun Li
Zhi Wang
Wenwu Zhu
MQ
146
1
0
31 Aug 2025
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
Sunny Gupta
Nikita Jangid
Shounak Das
Amit Sethi
FedML
311
0
0
10 Jun 2025
Discovering Hierarchy-Grounded Domains with Adaptive Granularity for Clinical Domain Generalization
Pengfei Hu
Xiaoxue Han
Fei Wang
Yue Ning
OOD
487
2
0
08 Jun 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Chenruo Liu
Kenan Tang
Yao Qin
Qi Lei
371
2
0
28 May 2025
Domain Generalization via Discrete Codebook Learning
Shaocong Long
Qianyu Zhou
Xikun Jiang
Chenhao Ying
Lizhuang Ma
Yuan Luo
313
4
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
Tomoki Toda
494
8
0
13 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Computer Vision and Pattern Recognition (CVPR), 2025
Aristotelis Ballas
Christos Diou
OOD
1.5K
10
0
27 Feb 2025
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
Neural Information Processing Systems (NeurIPS), 2024
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
338
4
0
08 Jan 2025
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization
IEEE transactions on multimedia (IEEE TMM), 2024
Pengkun Jiao
Na Zhao
Yue Yu
Yu-Gang Jiang
OOD
348
4
0
05 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning
BigData Congress [Services Society] (BSS), 2024
Haoliang Wang
Chen Zhao
Feng Chen
218
4
0
02 Nov 2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron
Michael Witbrock
Gillian Dobbie
CML
BDL
OOD
274
0
0
08 Oct 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Neural Information Processing Systems (NeurIPS), 2024
Han Wang
Yixuan Li
CML
373
5
0
26 Sep 2024
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
International Conference on Information and Knowledge Management (CIKM), 2024
Dong Li
Chen Zhao
Minglai Shao
Wenjun Wang
OOD
FaML
221
12
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
370
5
0
14 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang
Han Wang
Xiang Wang
Tat-Seng Chua
232
5
0
10 Jul 2024
Domain Agnostic Conditional Invariant Predictions for Domain Generalization
Zongbin Wang
Bin Pan
Zhenwei Shi
OOD
243
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
440
52
0
24 May 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
Tao Feng
Zhuang Li
Zhuang Li
Haolan Zhan
Yuncheng Hua
Gholamreza Haffari
VLM
323
3
0
21 Apr 2024
DGMamba: Domain Generalization via Generalized State Space Model
Shaocong Long
Qianyu Zhou
Hefei Ling
Xuequan Lu
Chenhao Ying
Yuan Luo
Lizhuang Ma
Shuicheng Yan
383
24
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
320
26
0
31 Mar 2024
Graphs Generalization under Distribution Shifts
Qin Tian
Wenjun Wang
Chen Zhao
Minglai Shao
Wang Zhang
Dong Li
OOD
302
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
425
19
0
17 Mar 2024
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
Yonghao Dong
Le Wang
Sanpin Zhou
Gang Hua
Changyin Sun
408
19
0
09 Mar 2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Inseop Chung
Kyomin Hwang
Jayeon Yoo
Nojun Kwak
TTA
313
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
243
2
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
296
14
0
07 Feb 2024
Decoupled Prototype Learning for Reliable Test-Time Adaptation
IEEE transactions on multimedia (IEEE TMM), 2024
Guowei Wang
Changxing Ding
Wentao Tan
Zhuliang Yu
VLM
330
6
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
359
1
0
25 Dec 2023
ShiftKD: Benchmarking Knowledge Distillation under Distribution Shift
Songming Zhang
Ziyu Lyu
Ziyu Lyu
Xiaofeng Chen
268
2
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
324
2
0
18 Dec 2023
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
Knowledge Discovery and Data Mining (KDD), 2023
Chengli Zhao
Kai Jiang
Xintao Wu
Haoliang Wang
Latifur Khan
Christan Earl Grant
Feng Chen
OOD
265
9
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
284
9
0
22 Nov 2023
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
Jikai Jin
Vasilis Syrgkanis
CML
436
12
0
21 Nov 2023
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Chamuditha Jayanga Galappaththige
Gayal Kuruppu
Muhammad Haris Khan
OOD
423
15
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
447
2
0
25 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift
IEEE International Conference on Computer Vision (ICCV), 2023
Chaoqi Chen
Luyao Tang
Leitian Tao
Hong-Yu Zhou
Yue Huang
Xiaoguang Han
Yizhou Yu
OOD
325
15
0
07 Oct 2023
Towards Domain-Specific Features Disentanglement for Domain Generalization
Hao Chen
Qi Zhang
Zenan Huang
Haobo Wang
Jun Zhao
OOD
273
1
0
04 Oct 2023
Rethinking Domain Generalization: Discriminability and Generalizability
Shaocong Long
Qianyu Zhou
Chenhao Ying
Lizhuang Ma
Yuan Luo
OOD
AI4CE
425
31
0
28 Sep 2023
Diverse Target and Contribution Scheduling for Domain Generalization
IEEE Transactions on Image Processing (IEEE TIP), 2023
Shaocong Long
Qianyu Zhou
Soham Dan
Lizhuang Ma
Yuan Luo
584
10
0
28 Sep 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
Neural Information Processing Systems (NeurIPS), 2023
Yifan Zhang
Qingsong Wen
Qingsong Wen
Weiqiu Chen
Liang Sun
Zheng Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
AI4TS
308
87
0
22 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa
M. H. Khan
361
13
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
366
4
0
18 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
IEEE Transactions on Image Processing (IEEE TIP), 2023
Xi Yu
Huan-Hsin Tseng
Shinjae Yoo
Haibin Ling
Lu Ma
OOD
404
29
0
08 Sep 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODD
AI4TS
377
35
0
04 Aug 2023
Flatness-Aware Minimization for Domain Generalization
IEEE International Conference on Computer Vision (ICCV), 2023
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
352
37
0
20 Jul 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
362
3
0
17 Jul 2023
Towards Fair Disentangled Online Learning for Changing Environments
Knowledge Discovery and Data Mining (KDD), 2023
Chenxu Zhao
Feng Mi
Xintao Wu
Kai Jiang
Latifur Khan
Christan Earl Grant
Feng Chen
263
19
0
31 May 2023
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Knowledge Discovery and Data Mining (KDD), 2023
Yunze Tong
Junkun Yuan
Min Zhang
Di-hua Zhu
Keli Zhang
Leilei Gan
Kun Kuang
316
12
0
25 May 2023
Moderately Distributional Exploration for Domain Generalization
International Conference on Machine Learning (ICML), 2023
Ruiqi Dai
Yonggang Zhang
Zhen Fang
Bo Han
Xinmei Tian
OOD
308
26
0
27 Apr 2023
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