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Revisiting adapters with adversarial training., , and . CoRR, (2022)Generative models improve fairness of medical classifiers under distribution shifts., , , , , , , , , and 2 other author(s). CoRR, (2023)A Fine-Grained Analysis on Distribution Shift., , , , , , and . CoRR, (2021)Data Augmentation Can Improve Robustness., , , , , and . NeurIPS, page 29935-29948. (2021)There and Back Again: Revisiting Backpropagation Saliency Methods., , , and . CVPR, page 8836-8845. Computer Vision Foundation / IEEE, (2020)Defending Against Image Corruptions Through Adversarial Augmentations., , , , , , and . CoRR, (2021)AutoNovel: Automatically Discovering and Learning Novel Visual Categories., , , , and . CoRR, (2021)Defending Against Image Corruptions Through Adversarial Augmentations., , , , , , and . ICLR, OpenReview.net, (2022)Semi-Supervised Learning with Scarce Annotations., , , , and . CVPR Workshops, page 3294-3302. Computer Vision Foundation / IEEE, (2020)NormGrad: Finding the Pixels that Matter for Training., , , , and . CoRR, (2019)