arXiv Machine Learning August 11, 2026 By Min Lu, Hemant Ishwaran

General OOD Detection via Model-aware and Subspace-aware Variable Priority

Read the original on arXiv Machine Learning →

arXiv:2512. 13003v2 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) detection is essential for determining when a supervised model encounters inputs that differ meaningfully from its training distribution.

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