Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation

Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach +3

Deep neural networks often exhibit poor performance on data that is unlikely under the train-time data distribution, for instance data affected by corruptions. Previous works demon…