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Explaining The Efficacy of Counterfactually-Augmented Data., , , и . CoRR, (2020)Explaining the Efficacy of Counterfactually Augmented Data., , , и . ICLR, OpenReview.net, (2021)Multitask Learning Can Improve Worst-Group Outcomes., , , , , и . CoRR, (2023)Covariate Distribution Aware Meta-learning., , и . CoRR, (2020)Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift., , , , , и . CoRR, (2023)Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts., , , , , , и . ICLR, OpenReview.net, (2023)ReStGAN: A step towards visually guided shopper experience via text-to-image synthesis., , , и . WACV, стр. 1189-1197. IEEE, (2020)Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts., , , , и . CoRR, (2023)Towards Using Heterogeneous Relation Graphs for End-to-End TTS., , , , и . ASRU, стр. 1162-1169. IEEE, (2021)Robust Handwriting Recognition with Limited and Noisy Data., , , , , , , , , и . ICFHR, стр. 301-306. IEEE, (2020)