Rusak, Evgenia

14 publications

ICLR 2025 In Search of Forgotten Domain Generalization Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel

ICLRW 2025 In Search of Forgotten Domain Generalization Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, Wieland Brendel

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

ICLR 2024 Does CLIP’s Generalization Performance Mainly Stem from High Train-Test Similarity? Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel

ICLR 2024 Effective Pruning of Web-Scale Datasets Based on Complexity of Concept Clusters Amro Kamal Mohamed Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos

ICMLW 2024 In Search of Forgotten Domain Generalization Prasanna Mayilvahanan, Roland S. Zimmermann, Thaddäus Wiedemer, Evgenia Rusak, Attila Juhos, Matthias Bethge, 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

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

ICLRW 2024 Removing High Frequency Information Improves DNN Behavioral Alignment Max Wolff, Evgenia Rusak, Wieland Brendel

NeurIPSW 2023 Does CLIP’s Generalization Performance Mainly Stem from High Train-Test Similarity? Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, 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