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LR-SVM+: Learning Using Privileged Information with Noisy Labels., , , , , , and . IEEE Trans. Multim., (2022)Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm., , , , , , and . IEEE Trans. Multim., 22 (11): 3002-3013 (2020)Continuous Dropout., , , , and . CoRR, (2019)How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation., , , , , , , , , and . CoRR, (2023)Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations., , , , , and . CoRR, (2021)Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources., , , , , , and . CoRR, (2023)Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization., , , , , , and . CoRR, (2023)Discovery of the Hidden World with Large Language Models., , , , , , and . CoRR, (2024)Towards Lightweight Black-Box Attacks against Deep Neural Networks., , , , , , , and . CoRR, (2022)Multi-Class Classification from Noisy-Similarity-Labeled Data., , , , , , , and . CoRR, (2020)