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DOS: Diverse Outlier Sampling for Out-of-Distribution Detection., , , , and . CoRR, (2023)Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise., , , , , and . AAAI, page 14765-14773. AAAI Press, (2023)Semi-supervised Learning with Multi-Head Co-Training., , , , and . AAAI, page 6278-6286. AAAI Press, (2022)A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding., , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 343-350. IOS Press, (2023)Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework., and . Knowl. Based Syst., (2024)READ: Aggregating Reconstruction Error into Out-of-distribution Detection., , , , , and . CoRR, (2022)Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation., , , , , , and . Mach. Learn., 113 (6): 3611-3631 (June 2024)CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection., , , , , , and . SDM, page 262-270. SIAM, (2023)READ: Aggregating Reconstruction Error into Out-of-Distribution Detection., , , , , and . AAAI, page 14910-14918. AAAI Press, (2023)DOS: Diverse Outlier Sampling for Out-of-Distribution Detection., , , , and . ICLR, OpenReview.net, (2024)