Evgenia Rusak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Object Detection

Covariate Shift

Top Venues

PLoS Comput. Biol.

Publications

Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel
Does CLIP's generalization performance mainly stem from high train-test similarity? ICLR (2024)
Evgenia Rusak, Patrik Reizinger, Attila Juhos, Oliver Bringmann, Roland S. Zimmermann, Wieland Brendel
InfoNCE: Identifying the Gap Between Theory and Practice. CoRR (2024)
Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos
Effective pruning of web-scale datasets based on complexity of concept clusters. CoRR (2024)
Amro Abbas, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari S. Morcos
Effective pruning of web-scale datasets based on complexity of concept clusters. ICLR (2024)
Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B. Patel, Andreas S. Tolias, Xaq Pitkow
Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput. Biol. 19 (3) (2023)
Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak, Matthias Bethge, Wieland Brendel
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity? CoRR (2023)
Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
If your data distribution shifts, use self-learning. Trans. Mach. Learn. Res. 2022 (2022)
Evgenia Rusak, Steffen Schneider, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Adapting ImageNet-scale models to complex distribution shifts with self-learning. CoRR (2021)
Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Improving robustness against common corruptions by covariate shift adaptation. CoRR (2020)
Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge
Improving robustness against common corruptions by covariate shift adaptation. NeurIPS (2020)
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. CoRR (2020)
Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. ECCV (3) (2020)
Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming. CoRR (2019)