Jacob Velling Dueholm

Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift

The time dimension of datasets and the long-term performance of machine learning models have received little attention. With extended deployments in the wild, models are bound to encounter novel scenarios and concept drift that cannot be accounted for during development and training. In order for lo…