Wieland Brendel

Latest

Contrastive Learning Inverts the Data Generating Process

Contrastive learning with the InfoNCE objective can recover the ground truth latent factors underlying the data.

If Your Data Distribution Shifts, Use Self-Learning

Self-learning techniques like entropy minimization and pseudo-labeling are simple and effective at improving model performance under …

Improving Robustness against Common Corruptions by Covariate Shift Adaptation

Adapting batch norm statistics of trained computer vision models considerably increases robustness at test-time.