Tag: inlier

Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection arXiv:2601.10993v1 Announce Type: new Abstract: Outlier detection (OD) aims to identify abnormal instances, known as outliers or anomalies, by learning typical patterns of normal data, or inliers. Performing OD under an unsupervised regime-without any information about anomalous instances in the training data-is challenging. A recently observed phenomenon,…