2 papers
stat.ML2026
Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss
Jungi Lee, Jungkwon Kim, Chi Zhang +3
Anomaly detection is crucial in industrial applications for identifying rare and unseen patterns to ensure system reliability. Traditional models, trained on a single class of norm…
cs.LG2025
Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data
Jungi Lee, Jungkwon Kim, Chi Zhang +2
Handling contaminated data poses a critical challenge in anomaly detection, as traditional models assume training on purely normal data. Conventional methods mitigate contamination…