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A Regularization Approach for Instance-Based Superset Label Learning., , , , , and . CoRR, (2019)Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation., , , , , , , and . IEEE Trans. Medical Imaging, 41 (6): 1533-1546 (2022)COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment., , , , , , and . Pattern Recognit., (2022)Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations., , , , , and . CoRR, (2021)Continuous Dropout., , , , and . CoRR, (2019)Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization., , , , , , and . CoRR, (2023)How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation., , , , , , , , , and . CoRR, (2023)Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources., , , , , , and . CoRR, (2023)Parts-dependent Label Noise: Towards Instance-dependent Label Noise., , , , , , , , and . CoRR, (2020)Towards Lightweight Black-Box Attacks against Deep Neural Networks., , , , , , , and . CoRR, (2022)