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OpenAlex Citation Counts

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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:

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 338

Showing 1-25 of 338 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1524
Domain Generalization: A Survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 625
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, Chang Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 499
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 269
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 199
Towards Out-Of-Distribution Generalization: A Survey
Zheyan Shen, Jiashuo Liu, Yue He, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 182
Disparities in dermatology AI performance on a diverse, curated clinical image set
Roxana Daneshjou, Kailas Vodrahalli, Roberto A. Novoa, et al.
Science Advances (2022) Vol. 8, Iss. 32
Open Access | Times Cited: 180
Ethical Machine Learning in Healthcare
Irene Y. Chen, Emma Pierson, Sherri Rose, et al.
Annual Review of Biomedical Data Science (2021) Vol. 4, Iss. 1, pp. 123-144
Open Access | Times Cited: 179
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim, Youngjun Yoo, Seunghyun Park, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 168
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori, Achal Dave, Vaishaal Shankar, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 140
Causal Attention for Interpretable and Generalizable Graph Classification
Yongduo Sui, Xiang Wang, Jiancan Wu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 1696-1705
Open Access | Times Cited: 88
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang, Yifan Zhang, Weiyang Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 8014-8024
Open Access | Times Cited: 72
Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions
Zhenhua Fan, Qifa Xu, Cuixia Jiang, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 1, pp. 965-974
Closed Access | Times Cited: 52
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu, Garima Lalwani, Spandana Gella, et al.
Transactions of the Association for Computational Linguistics (2020) Vol. 8, pp. 621-633
Open Access | Times Cited: 115
Noise or Signal: The Role of Image Backgrounds in Object Recognition
Kai Xiao, Logan Engstrom, Andrew Ilyas, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 91
In Search of Lost Domain Generalization
Ishaan Gulrajani, David López-Paz
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 89
Domain Generalization using Causal Matching
Divyat Mahajan, Shruti Tople, Amit Sharma
arXiv (Cornell University) (2020)
Open Access | Times Cited: 80
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen, Wei‐Lun Chao
arXiv (Cornell University) (2020)
Open Access | Times Cited: 79
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa, Aditi Raghunathan, Pang Wei Koh, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 75
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang, Sergey Levine, Chelsea Finn
arXiv (Cornell University) (2021)
Open Access | Times Cited: 64
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
Dan Hendrycks, Andy Zou, Mantas Mazeika, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16762-16771
Open Access | Times Cited: 60
Just Train Twice: Improving Group Robustness without Training Group Information
Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 57
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 7, pp. 7399-7407
Open Access | Times Cited: 57
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 55
NICO++: Towards Better Benchmarking for Domain Generalization
Xingxuan Zhang, Yue He, Renzhe Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 16036-16047
Open Access | Times Cited: 35
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