OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye, Kaican Li, Haoyue Bai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 42
Nanyang Ye, Kaican Li, Haoyue Bai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 42
Showing 1-25 of 42 citing articles:
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Kaican Li, Kai Chen, Haoyu Wang, et al.
Lecture notes in computer science (2022), pp. 406-423
Closed Access | Times Cited: 40
Kaican Li, Kai Chen, Haoyu Wang, et al.
Lecture notes in computer science (2022), pp. 406-423
Closed Access | Times Cited: 40
Improved Test-Time Adaptation for Domain Generalization
Liang Chen, Yong Zhang, Yibing Song, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 17
Liang Chen, Yong Zhang, Yibing Song, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 17
OoD-Control: Generalizing Control in Unseen Environments
Nanyang Ye, Zhaoyu Zeng, Jundong Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 11, pp. 7421-7433
Closed Access | Times Cited: 6
Nanyang Ye, Zhaoyu Zeng, Jundong Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 11, pp. 7421-7433
Closed Access | Times Cited: 6
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data
Tailin Zhou, Zehong Lin, Jun Zhang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 12131-12145
Closed Access | Times Cited: 6
Tailin Zhou, Zehong Lin, Jun Zhang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 12131-12145
Closed Access | Times Cited: 6
Causal invariant geographic network representations with feature and structural distribution shifts
Yuhan Wang, Silu He, Qinyao Luo, et al.
Future Generation Computer Systems (2025), pp. 107814-107814
Closed Access
Yuhan Wang, Silu He, Qinyao Luo, et al.
Future Generation Computer Systems (2025), pp. 107814-107814
Closed Access
Improving model generalization by on-manifold adversarial augmentation in the frequency domain
Chang Liu, Wenzhao Xiang, Yuan He, et al.
Journal of Visual Communication and Image Representation (2025), pp. 104437-104437
Closed Access
Chang Liu, Wenzhao Xiang, Yuan He, et al.
Journal of Visual Communication and Image Representation (2025), pp. 104437-104437
Closed Access
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance
Zeyi Huang, Andy Zhou, Zijian Lin, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11651-11661
Open Access | Times Cited: 14
Zeyi Huang, Andy Zhou, Zijian Lin, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11651-11661
Open Access | Times Cited: 14
Alignclip: navigating the misalignments for robust vision-language generalization
Zhongyi Han, Gongxu Luo, Hao Sun, et al.
Machine Learning (2025) Vol. 114, Iss. 3
Open Access
Zhongyi Han, Gongxu Luo, Hao Sun, et al.
Machine Learning (2025) Vol. 114, Iss. 3
Open Access
CaRGI: Causal semantic representation learning via generative intervention for single domain generalization
Youjia Shao, Shaohui Wang, Wencang Zhao
Applied Soft Computing (2025) Vol. 173, pp. 112910-112910
Closed Access
Youjia Shao, Shaohui Wang, Wencang Zhao
Applied Soft Computing (2025) Vol. 173, pp. 112910-112910
Closed Access
Equitable machine learning counteracts ancestral bias in precision medicine
Leslie Smith, James A. Cahill, Ji‐Hyun Lee, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Leslie Smith, James A. Cahill, Ji‐Hyun Lee, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Artifact-Based Domain Generalization of Skin Lesion Models
Alceu Bissoto, Catarina Barata, Eduardo Valle, et al.
Lecture notes in computer science (2023), pp. 133-149
Closed Access | Times Cited: 9
Alceu Bissoto, Catarina Barata, Eduardo Valle, et al.
Lecture notes in computer science (2023), pp. 133-149
Closed Access | Times Cited: 9
Domain-Specific Risk Minimization for Domain Generalization
Yifan Zhang, Jindong Wang, Jian Liang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3409-3421
Closed Access | Times Cited: 9
Yifan Zhang, Jindong Wang, Jian Liang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3409-3421
Closed Access | Times Cited: 9
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao, Shaozuo Yu, Wufei Ma, et al.
Lecture notes in computer science (2022), pp. 163-180
Closed Access | Times Cited: 15
Bingchen Zhao, Shaozuo Yu, Wufei Ma, et al.
Lecture notes in computer science (2022), pp. 163-180
Closed Access | Times Cited: 15
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
Justin Kay, Peter Kulits, Suzanne Stathatos, et al.
Lecture notes in computer science (2022), pp. 290-311
Open Access | Times Cited: 14
Justin Kay, Peter Kulits, Suzanne Stathatos, et al.
Lecture notes in computer science (2022), pp. 290-311
Open Access | Times Cited: 14
Domain Generalization via Rationale Invariance
Liang Chen, Yong Zhang, Yibing Song, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1751-1760
Open Access | Times Cited: 7
Liang Chen, Yong Zhang, Yibing Song, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 1751-1760
Open Access | Times Cited: 7
GridHTM: Grid-Based Hierarchical Temporal Memory for Anomaly Detection in Videos
В. Г. Монахов, Vajira Thambawita, Pål Halvorsen, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2087-2087
Open Access | Times Cited: 6
В. Г. Монахов, Vajira Thambawita, Pål Halvorsen, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2087-2087
Open Access | Times Cited: 6
Robust Collaborative Filtering to Popularity Distribution Shift
An Zhang, Wenchang Ma, Jingnan Zheng, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 3, pp. 1-25
Open Access | Times Cited: 6
An Zhang, Wenchang Ma, Jingnan Zheng, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 3, pp. 1-25
Open Access | Times Cited: 6
iDAG: Invariant DAG Searching for Domain Generalization
Zenan Huang, Haobo Wang, Junbo Zhao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19112-19122
Closed Access | Times Cited: 6
Zenan Huang, Haobo Wang, Junbo Zhao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 19112-19122
Closed Access | Times Cited: 6
Multi-metrics adaptively identifies backdoors in Federated learning
Siquan Huang, Yijiang Li, Chong Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 4629-4639
Open Access | Times Cited: 6
Siquan Huang, Yijiang Li, Chong Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 4629-4639
Open Access | Times Cited: 6
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters
Min Zhang, Junkun Yuan, Yue He, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11887-11897
Closed Access | Times Cited: 5
Min Zhang, Junkun Yuan, Yue He, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 11887-11897
Closed Access | Times Cited: 5
Even small correlation and diversity shifts pose dataset-bias issues
Alceu Bissoto, Catarina Barata, Eduardo Valle, et al.
Pattern Recognition Letters (2024) Vol. 179, pp. 87-93
Open Access | Times Cited: 1
Alceu Bissoto, Catarina Barata, Eduardo Valle, et al.
Pattern Recognition Letters (2024) Vol. 179, pp. 87-93
Open Access | Times Cited: 1
A Robust Framework for Distributional Shift Detection Under Sample-Bias
Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, et al.
IEEE Access (2024) Vol. 12, pp. 59598-59611
Open Access | Times Cited: 1
Birk Torpmann-Hagen, Michael A. Riegler, Pål Halvorsen, et al.
IEEE Access (2024) Vol. 12, pp. 59598-59611
Open Access | Times Cited: 1
On bias and fairness in deep learning-based facial analysis
Surbhi Mittal, Puspita Majumdar, Mayank Vatsa, et al.
Handbook of statistics (2023), pp. 169-221
Closed Access | Times Cited: 3
Surbhi Mittal, Puspita Majumdar, Mayank Vatsa, et al.
Handbook of statistics (2023), pp. 169-221
Closed Access | Times Cited: 3
Failure to Achieve Domain Invariance With Domain Generalization Algorithms: An Analysis in Medical Imaging
Steven Korevaar, Ruwan Tennakoon, Alireza Bab‐Hadiashar
IEEE Access (2023) Vol. 11, pp. 39351-39372
Open Access | Times Cited: 3
Steven Korevaar, Ruwan Tennakoon, Alireza Bab‐Hadiashar
IEEE Access (2023) Vol. 11, pp. 39351-39372
Open Access | Times Cited: 3
Task guided representation learning using compositional models for zero-shot domain adaptation
Shuang Liu, Mete Özay
Neural Networks (2023) Vol. 165, pp. 370-380
Closed Access | Times Cited: 2
Shuang Liu, Mete Özay
Neural Networks (2023) Vol. 165, pp. 370-380
Closed Access | Times Cited: 2
