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most citedProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection

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cs.LG2025

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks

Erik Wallin, Fredrik Kahl, Lars Hammarstrand

Out-of-distribution (OOD) detection in deep learning has traditionally been framed as a binary task, where samples are either classified as belonging to the known classes or marked…