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stat.ML2026
Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores
Dongha Kim, Seunghwan Park
Density-Ratio Rescoring (DRR) augments a classifier trained at the original class prior with a survey-raking dual score. Raking reweights the majority sample to match minority feat…
stat.ML2026
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection
Minseo Kang, Seunghwan Park, Dongha Kim
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 unsuperv…