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Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model.

, , , , , and . AAAI, page 10183-10191. AAAI Press, (2021)

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Open-Set Graph Anomaly Detection via Normal Structure Regularisation., , , , and . CoRR, (2023)Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders., , , , , , and . CVPR, page 12682-12692. IEEE, (2022)A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection., , , and . SDM, page 118-126. SIAM, (2021)Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model., , , , , and . AAAI, page 10183-10191. AAAI Press, (2021)Towards Lightweight Black-Box Attack Against Deep Neural Networks., , , , , , , and . NeurIPS, (2022)Out-of-distribution Detection with Implicit Outlier Transformation., , , , , , , and . ICLR, OpenReview.net, (2023)Watermarking for Out-of-distribution Detection., , , , , , and . NeurIPS, (2022)ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection., , , , and . PAKDD (2), volume 13281 of Lecture Notes in Computer Science, page 17-29. Springer, (2022)Do CLIPs Always Generalize Better than ImageNet Models?, , , , , and . CoRR, (2024)Learning to Augment Distributions for Out-of-distribution Detection., , , , , and . NeurIPS, (2023)