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When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis.

, , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33014-33043. PMLR, (2023)

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Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment., , , , and . CVPR, page 24563-24574. IEEE, (2023)When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33014-33043. PMLR, (2023)Dream the Impossible: Outlier Imagination with Diffusion Models., , , and . NeurIPS, (2023)Open-world Contrastive Learning., and . CoRR, (2022)Out-of-Distribution Detection with Deep Nearest Neighbors., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 20827-20840. PMLR, (2022)Delving into Out-of-Distribution Detection with Vision-Language Representations., , , , , and . NeurIPS, (2022)ReAct: Out-of-distribution Detection With Rectified Activations., , and . NeurIPS, page 144-157. (2021)Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks., , and . ICCV, page 4937-4946. IEEE, (2019)DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton., , , and . ICML, OpenReview.net, (2024)DICE: Leveraging Sparsification for Out-of-Distribution Detection., and . ECCV (24), volume 13684 of Lecture Notes in Computer Science, page 691-708. Springer, (2022)