Title
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu Yihan Wang Yifan Zhu Yibo Miao Xiao-Shan Gao 61 0 0 06 Mar 2025
Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration Julia Alekseenko B. Stieltjes Michael Bach Melanie Boerries Oliver Opitz Alexandros Karargyris N. Padoy FedML AI4CE 20 0 0 03 Oct 2024
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Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 27 1 0 02 Jun 2024
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration Alan Q. Wang Rachit Saluja Heejong Kim Xinzi He Adrian V. Dalca M. Sabuncu 21 3 0 22 May 2024
A Universal Metric of Dataset Similarity for Cross-silo Federated Learning Ahmed Elhussein Gamze Gursoy FedML OOD 34 2 0 29 Apr 2024
Transfer Learning Study of Motion Transformer-based Trajectory Predictions Lars Ullrich Alex McMaster Knut Graichen 38 3 0 12 Apr 2024
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 13 33 0 10 Dec 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Elhabian UQCV 13 5 0 15 Aug 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 28 6 0 20 Jul 2023
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts Shaokun Zhang Yiran Wu Zhonghua Zheng Qingyun Wu Chi Wang OOD 38 7 0 28 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 28 0 0 19 May 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 6 3 0 27 Feb 2023
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation Vatsal Raina N. Molchanova Mara Graziani A. Malinin Henning Muller Meritxell Bach Cuadra Mark J. F. Gales 16 9 0 10 Feb 2023
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis N. Molchanova Vatsal Raina A. Malinin Francesco La Rosa Henning Muller Mark J. F. Gales C. Granziera Mara Graziani Meritxell Bach Cuadra 20 8 0 09 Nov 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 24 76 0 05 Oct 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015