Bringmann, Oliver

8 publications

AISTATS 2025 InfoNCE: Identifying the Gap Between Theory and Practice Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel

ECCVW 2024 Context-Aware Full Body Anonymization Pascal Zwick, Kevin Rösch, Marvin Klemp, Oliver Bringmann

ICMLW 2024 InfoNCE: Identifying the Gap Between Theory and Practice Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel

ICMLW 2024 InfoNCE: Identifying the Gap Between Theory and Practice Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel

TMLR 2022 If Your Data Distribution Shifts, Use Self-Learning Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge

ICMLW 2022 ImageNet-D: A New Challenging Robustness Dataset Inspired by Domain Adaptation Evgenia Rusak, Steffen Schneider, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge

ECCV 2020 A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel

NeurIPS 2020 Improving Robustness Against Common Corruptions by Covariate Shift Adaptation Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge