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Wilds: A benchmark of in-the-wild distribution shifts

, , , , , , , , , , and . International Conference on Machine Learning, page 5637--5664. PMLR, (2021)

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WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , and 6 other author(s). CoRR, (2020)WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , and 13 other author(s). ICML, volume 139 of Proceedings of Machine Learning Research, page 5637-5664. PMLR, (2021)Wilds: A benchmark of in-the-wild distribution shifts, , , , , , , , , and 1 other author(s). International Conference on Machine Learning, page 5637--5664. PMLR, (2021)One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1005-1014. PMLR, (2021)