2 papers
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…
stat.ML2025
MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
Jihye Lee, Minseo Kang, Dongha Kim
The presence of missing values often reflects variations in data collection policies, which may shift across time or locations, even when the underlying feature distribution remain…