AI RESEARCH
UniOD: A Universal Model for Outlier Detection across Diverse Domains
arXiv CS.LG
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ArXi:2507.06624v2 Announce Type: replace Outlier detection (OD), distinguishing inliers and outliers in completely unlabeled datasets, plays a vital role in science and engineering. Although there have been many insightful OD methods, most of them require troublesome hyperparameter tuning (a challenge in unsupervised learning) and costly model