most citedFoundation Models and Transformers for Anomaly Detection: A Survey

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stat.ML2024

Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity

Mouïn Ben Ammar, David Brellmann, Arturo Mendoza +2

Out-of-distribution (OOD) detection is essential for ensuring the reliability and safety of machine learning systems. In recent years, it has received increasing attention, particu…