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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 1 other author(s). International Conference on Machine Learning, page 5637--5664. PMLR, (2021)Sharp finite-sample large deviation bounds for independent variables.. CoRR, (2020)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)Learning transport cost from subset correspondence., , and . CoRR, (2019)Semantically Decomposing the Latent Spaces of Generative Adversarial Networks., , , and . CoRR, (2017)An adaptive nearest neighbor rule for classification., , , and . NeurIPS, page 7577-7586. (2019)Learning transport cost from subset correspondence., , and . ICLR, OpenReview.net, (2020)Semantically Decomposing the Latent Spaces of Generative Adversarial Networks., , , and . ICLR (Poster), OpenReview.net, (2018)Optimal Binary Autoencoding with Pairwise Correlations.. ICLR (Poster), OpenReview.net, (2017)