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NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges.

, , , , , , , , , , , and . ECCV Workshops (6), volume 13806 of Lecture Notes in Computer Science, page 433-450. Springer, (2022)

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Rethinking the Evaluation Protocol of Domain Generalization., , , , , and . CoRR, (2023)Flatness-Aware Minimization for Domain Generalization., , , , , and . ICCV, page 5166-5179. IEEE, (2023)Factual Observation Based Heterogeneity Learning for Counterfactual Prediction., , , , , , and . CLeaR, volume 213 of Proceedings of Machine Learning Research, page 350-370. PMLR, (2023)NICO++: Towards Better Benchmarking for Domain Generalization., , , , , and . CVPR, page 16036-16047. IEEE, (2023)Model Agnostic Sample Reweighting for Out-of-Distribution Learning., , , , , , and . CoRR, (2023)Regulatory Instruments for Fair Personalized Pricing., , , , , and . WWW, page 4-15. ACM, (2022)Towards Domain Generalization in Object Detection., , , , , , , and . CoRR, (2022)Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization., , , , and . CVPR, page 20247-20257. IEEE, (2023)A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 24803-24829. PMLR, (2022)Why Stable Learning Works? A Theory of Covariate Shift Generalization., , , , and . CoRR, (2021)