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Tag: outlier

  • Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection

    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,…

  • Effects of label noise on the classification of outlier observations

    Effects of label noise on the classification of outlier observations arXiv:2511.08808v1 Announce Type: new Abstract: This study investigates the impact of adding noise to the training set classes in classification tasks using the BCOPS algorithm (Balanced and Conformal Optimized Prediction Sets), proposed by Guan & Tibshirani (2022). The BCOPS algorithm is an application of conformal…

  • Transfer Neyman-Pearson Algorithm for Outlier Detection

    Transfer Neyman-Pearson Algorithm for Outlier Detection arXiv:2501.01525v1 Announce Type: cross Abstract: We consider the problem of transfer learning in outlier detection where target abnormal data is rare. While transfer learning has been considered extensively in traditional balanced classification, the problem of transfer in outlier detection and more generally in imbalanced classification settings has received less…