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Learning from group supervision: the impact of supervision deficiency on multi-label learning., and . Sci. China Inf. Sci., (2021)STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data., , , , and . NeurIPS, page 29168-29180. (2021)USB: A Unified Semi-supervised Learning Benchmark., , , , , , , , , and 12 other author(s). CoRR, (2022)Identifying Useful Learnwares for Heterogeneous Label Spaces., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 12122-12131. PMLR, (2023)Interactive Reweighting for Mitigating Label Quality Issues., , , , , , and . IEEE Trans. Vis. Comput. Graph., 30 (3): 1837-1852 (March 2024)Robust Semi-Supervised Learning when Not All Classes have Labels., , , , and . NeurIPS, (2022)Investigating the Limitation of CLIP Models: The Worst-Performing Categories., , , , and . CoRR, (2023)Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 14886-14901. PMLR, (2023)IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience., , , , , and . AAAI, page 4052-4059. AAAI Press, (2020)Open-set learning under covariate shift., , and . Mach. Learn., 113 (4): 1643-1659 (April 2024)