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ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining., , , , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 430-445. Springer, (2021)Concise Explanations of Neural Networks using Adversarial Training., , , , and . CoRR, (2018)Robust Out-of-distribution Detection via Informative Outlier Mining., , , , and . CoRR, (2020)Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks., , , , and . EuroS&P, page 480-495. IEEE, (2019)ASPEST: Bridging the Gap Between Active Learning and Selective Prediction., , , , , and . CoRR, (2023)Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification., , , , , and . CoRR, (2020)Dynamic Response Analysis of an Offshore Converter Platform with Valve Towers under Seismic Excitation., , , , , and . Symmetry, 14 (8): 1635 (2022)Concept-based Explanations for Out-of-Distribution Detectors., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 5817-5837. PMLR, (2023)Is Forgetting Less a Good Inductive Bias for Forward Transfer?, , , and . ICLR, OpenReview.net, (2023)Robust Out-of-distribution Detection in Neural Networks., , , , and . CoRR, (2020)