ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.03097
  4. Cited By
Generalizing to Unseen Domains: A Survey on Domain Generalization
v1v2v3v4v5v6v7 (latest)

Generalizing to Unseen Domains: A Survey on Domain Generalization

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
2 March 2021
Yongfeng Zhang
Cuiling Lan
Yu Xie
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
    OOD
ArXiv (abs)PDFHTML

Papers citing "Generalizing to Unseen Domains: A Survey on Domain Generalization"

50 / 636 papers shown
Flatness-Aware Minimization for Domain Generalization
Flatness-Aware Minimization for Domain GeneralizationIEEE International Conference on Computer Vision (ICCV), 2023
Xingxuan Zhang
Renzhe Xu
Han Yu
Yancheng Dong
Pengfei Tian
Peng Cu
272
35
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 GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
298
3
0
17 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial
  Transferability from Surrogate Training
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate TrainingIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yechao Zhang
Shengshan Hu
Leo Yu Zhang
Junyu Shi
Minghui Li
Xiaogeng Liu
Wei Wan
Hai Jin
AAML
406
31
0
15 Jul 2023
DISPEL: Domain Generalization via Domain-Specific Liberating
DISPEL: Domain Generalization via Domain-Specific Liberating
Chia-Yuan Chang
Yu-Neng Chuang
Guanchu Wang
Mengnan Du
Zou Na
132
6
0
14 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches
A Causal Framework to Unify Common Domain Generalization Approaches
Ningyu Zhang
Kaican Li
Han Gao
Weiyan Xie
Zhi Lin
Hao Sun
Luning Wang
Yongxiang Huang
FedMLOODAI4CE
227
3
0
13 Jul 2023
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
Towards Generalizable Diabetic Retinopathy Grading in Unseen DomainsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Haoxuan Che
Yu-Tsen Cheng
Haibo Jin
Haoxing Chen
MedIm
235
34
0
10 Jul 2023
A Survey on Evaluation of Large Language Models
A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Yu-Chu Chang
Xu Wang
Yongfeng Zhang
Yuanyi Wu
Linyi Yang
...
Yue Zhang
Yi-Ju Chang
Philip S. Yu
Qian Yang
Xingxu Xie
ELMLM&MAALM
700
2,732
0
06 Jul 2023
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for
  Robust 3D Medical Image Segmentation
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
Jingjie Guo
Weitong Zhang
Matthew Sinclair
Daniel Rueckert
Chen Chen
OOD
234
2
0
02 Jul 2023
Deep Angiogram: Trivializing Retinal Vessel Segmentation
Deep Angiogram: Trivializing Retinal Vessel Segmentation
Dewei Hu
Xing Yao
Jiacheng Wang
Yuankai K. Tao
I. Oguz
MedIm
169
2
0
01 Jul 2023
Large Language Models as Annotators: Enhancing Generalization of NLP
  Models at Minimal Cost
Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost
Parikshit Bansal
Amit Sharma
300
44
0
27 Jun 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Deep Transfer Learning for Intelligent Vehicle Perception: a SurveyGreen Energy and Intelligent Transportation (GEIT), 2023
Xinyi Liu
Jinlong Li
Jin Ma
Huiming Sun
Zhigang Xu
Tianyu Zhang
Hongkai Yu
363
48
0
26 Jun 2023
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake
  News Detection
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Beizhe Hu
Qiang Sheng
Juan Cao
Yongchun Zhu
Danding Wang
Zhengjia Wang
Zhiwei Jin
187
34
0
26 Jun 2023
Generalizable Metric Network for Cross-domain Person Re-identification
Generalizable Metric Network for Cross-domain Person Re-identification
Lei Qi
Ziang Liu
Yinghuan Shi
Xin Geng
OOD
298
7
0
21 Jun 2023
Shape Guided Gradient Voting for Domain Generalization
Shape Guided Gradient Voting for Domain Generalization
Jiaqi Xu
Yuwang Wang
Xuejin Chen
186
0
0
19 Jun 2023
Experts' cognition-driven ensemble deep learning for external validation
  of predicting pathological complete response to neoadjuvant chemotherapy from
  histological images in breast cancer
Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
Yongquan Yang
Fengling Li
Yani Wei
Yuanyuan Zhao
Jing Fu
Xiuli Xiao
Hong Bu
214
6
0
19 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data
  Augmentation
Improving Generalizability of Graph Anomaly Detection Models via Data AugmentationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Shuang Zhou
Xiao Shi Huang
Ninghao Liu
Huachi Zhou
F. Chung
Longhai Huang
281
35
0
18 Jun 2023
Revisiting Stereo Triangulation in UAV Distance Estimation
Revisiting Stereo Triangulation in UAV Distance Estimation
Jiafan Zhuang
Duan Yuan
Rihong Yan
Weixin Huang
Yutao Zhou
Zhun Fan
213
0
0
15 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and DetectionInternational Conference on Machine Learning (ICML), 2023
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Shouqing Yang
OODD
311
61
0
15 Jun 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Distribution Shift Inversion for Out-of-Distribution PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
184
26
0
14 Jun 2023
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise
  Reduction
Domain-Aware Few-Shot Learning for Optical Coherence Tomography Noise ReductionJournal of Imaging (JI), 2023
Deborah Pereg
OOD
168
4
0
13 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution
  Generalization
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
OODDOOD
328
14
0
13 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
Federated Learning for Medical Image Analysis: A SurveyPattern Recognition (Pattern Recogn.), 2023
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedMLOOD
496
265
0
09 Jun 2023
Adaptive Contextual Perception: How to Generalize to New Backgrounds and
  Ambiguous Objects
Adaptive Contextual Perception: How to Generalize to New Backgrounds and Ambiguous ObjectsNeural Information Processing Systems (NeurIPS), 2023
Zhuofan Ying
Peter Hase
Joey Tianyi Zhou
347
1
0
09 Jun 2023
Devil is in Channels: Contrastive Single Domain Generalization for
  Medical Image Segmentation
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Shishuai Hu
Zehui Liao
Yong-quan Xia
MedIm
307
54
0
08 Jun 2023
Federated Domain Generalization: A Survey
Federated Domain Generalization: A SurveyProceedings of the IEEE (Proc. IEEE), 2023
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OODFedMLAI4CE
335
43
0
02 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph
  Out-of-Distribution Generalization
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CMLOOD
605
43
0
01 Jun 2023
Domain Generalization for Domain-Linked Classes
Domain Generalization for Domain-Linked Classes
Kimathi Kaai
Saad Hossain
Sirisha Rambhatla
OODAI4CE
137
1
0
01 Jun 2023
Treasure in Distribution: A Domain Randomization based Multi-Source
  Domain Generalization for 2D Medical Image Segmentation
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Ziyang Chen
Yongsheng Pan
Yiwen Ye
Hengfei Cui
Yong-quan Xia
OOD
193
36
0
31 May 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point CloudsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
423
38
0
31 May 2023
What is Essential for Unseen Goal Generalization of Offline
  Goal-conditioned RL?
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?International Conference on Machine Learning (ICML), 2023
Rui Yang
Yong Lin
Xiaoteng Ma
Haotian Hu
Chongjie Zhang
Tong Zhang
OffRL
225
33
0
30 May 2023
Improving the Generalizability of Trajectory Prediction Models with
  Frenet-Based Domain Normalization
Improving the Generalizability of Trajectory Prediction Models with Frenet-Based Domain NormalizationIEEE International Conference on Robotics and Automation (ICRA), 2023
Luyao Ye
Zikang Zhou
Jianping Wang
318
16
0
29 May 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization
CNN Feature Map Augmentation for Single-Source Domain GeneralizationInternational Conference on Big Data Computing Service and Applications (ICBDCSA), 2023
Aristotelis Ballas
Christos Diou
OOD
308
4
0
26 May 2023
Representation Transfer Learning via Multiple Pre-trained models for
  Linear Regression
Representation Transfer Learning via Multiple Pre-trained models for Linear RegressionInternational Symposium on Information Theory (ISIT), 2023
Navjot Singh
Suhas Diggavi
243
1
0
25 May 2023
Generalizable Low-Resource Activity Recognition with Diverse and
  Discriminative Representation Learning
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation LearningKnowledge Discovery and Data Mining (KDD), 2023
Xin Qin
Yongfeng Zhang
Shuo Ma
Wang Lu
Yongchun Zhu
Xingxu Xie
Yiqiang Chen
AI4TS
254
25
0
25 May 2023
Meta Adaptive Task Sampling for Few-Domain Generalization
Meta Adaptive Task Sampling for Few-Domain Generalization
Zheyan Shen
Han Yu
Peng Cui
Tianyu Wang
Xingxuan Zhang
Linjun Zhou
Furui Liu
OOD
115
1
0
25 May 2023
Rethinking the Evaluation Protocol of Domain Generalization
Rethinking the Evaluation Protocol of Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2023
Han Yu
Xingxuan Zhang
Renzhe Xu
Tianyu Wang
Yue He
Peng Cui
OOD
329
18
0
24 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence
Feature-aligned N-BEATS with Sinkhorn divergenceInternational Conference on Learning Representations (ICLR), 2023
Joon-Young Lee
Myeongho Jeon
Myung-joo Kang
Kyung-soon Park
AI4TS
293
2
0
24 May 2023
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment
  Triplet Extraction
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction
Yew Ken Chia
Hui Chen
Wei Han
Guizhen Chen
Sharifah Mahani Aljunied
Soujanya Poria
Lidong Bing
226
4
0
23 May 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing
  Solutions and Future Perspectives
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future PerspectivesArtificial Intelligence Review (AIR), 2023
T. Eerola
Daniel Batrakhanov
Nastaran Vatankhah Barazandeh
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
Jukka Seppälä
T. Tamminen
Heikki Kälviäinen
199
27
0
19 May 2023
Embrace Limited and Imperfect Training Datasets: Opportunities and
  Challenges in Plant Disease Recognition Using Deep Learning
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep LearningFrontiers in Plant Science (Front. Plant Sci.), 2023
Mingle Xu
H. Kim
Jucheng Yang
A. Fuentes
Yao Meng
Sook Yoon
Taehyun Kim
D. Park
242
34
0
19 May 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It
  Right?
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?IEEE International Conference on Computer Vision (ICCV), 2023
Hasan Hammoud
Christian Schroeder de Witt
Ser-Nam Lim
Juil Sock
Adel Bibi
Guohao Li
CLL
286
21
0
16 May 2023
Shared and Private Information Learning in Multimodal Sentiment Analysis
  with Deep Modal Alignment and Self-supervised Multi-Task Learning
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023
Songning Lai
Jiakang Li
Guinan Guo
Xifeng Hu
Yulong Li
...
Yutong Liu
Zhaoxia Ren
Chun Wan
Danmin Miao
Zhi Liu
SSL
229
17
0
15 May 2023
Consistency Regularization for Domain Generalization with Logit
  Attribution Matching
Consistency Regularization for Domain Generalization with Logit Attribution MatchingConference on Uncertainty in Artificial Intelligence (UAI), 2023
Han Gao
Kaican Li
Weiyan Xie
Zhi Lin
Yongxiang Huang
Luning Wang
Caleb Chen Cao
Ningyu Zhang
306
3
0
13 May 2023
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation:
  Current State, Limitations and Prospects
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and ProspectsActa Astronautica (Acta Astronaut.), 2023
Leo Pauly
Wassim Rharbaoui
Carl Shneider
A. Rathinam
Vincent Gaudillière
Djamila Aouada
345
80
0
12 May 2023
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationPattern Recognition (Pattern Recogn.), 2023
Hugo Oliveira
P. H. T. Gama
Isabelle Bloch
R. M. C. Junior
173
15
0
11 May 2023
Adaptive Domain Generalization for Digital Pathology Images
Adaptive Domain Generalization for Digital Pathology Images
A. Walker
MedImOOD
177
1
0
09 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary
  Survey
Scalable Optimal Transport Methods in Machine Learning: A Contemporary SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Abdelwahed Khamis
Russell Tsuchida
Mohamed Tarek
V. Rolland
Lars Petersson
OT
447
29
0
08 May 2023
Reduction of Class Activation Uncertainty with Background Information
Reduction of Class Activation Uncertainty with Background InformationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
H. M. D. Kabir
360
12
0
05 May 2023
A Survey on Out-of-Distribution Detection in NLP
A Survey on Out-of-Distribution Detection in NLP
Hao Lang
Yinhe Zheng
Shouqing Yang
Jian Sun
Feiling Huang
Yongbin Li
327
36
0
05 May 2023
ZipIt! Merging Models from Different Tasks without Training
ZipIt! Merging Models from Different Tasks without TrainingInternational Conference on Learning Representations (ICLR), 2023
George Stoica
Daniel Bolya
J. Bjorner
Pratik Ramesh
Taylor N. Hearn
Judy Hoffman
VLMMoMe
458
162
0
04 May 2023
Previous
123...789...111213
Next