Generalization is not a universal guarantee: Estimating similarity to training data with an ensemble out-of-distribution metric

W. Max Schreyer, Christopher Anderson, Reid F. Thompson

Failure of machine learning models to generalize to new data is a core problem limiting the reliability of AI systems, partly due to the lack of simple and robust methods for compa…