Browsing Universitätsbibliographie by Author "Brendel, Wieland"

Now showing items 1-15 of 15

Adapting ImageNet-scale models to complex distribution shifts with self-learning

Rusak, Evgenia; Schneider, Steffen; Gehler, Peter; Bringmann, Oliver; Brendel, Wieland; Bethge, Matthias (2021)
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Michaelis, Claudio; Mitzkus, Benjamin; Geirhos, Robert; Rusak, Evgenia; Bringmann, Oliver; Ecker, Alexander S.; Bethge, Matthias; Brendel, Wieland (2019)
Benchmarking Unsupervised Object Representations for Video Sequences

Weis, Marissa A.; Chitta, Kashyap; Sharma, Yash; Brendel, Wieland; Bethge, Matthias; Geiger, Andreas; Ecker, Alexander S. (2021)
Biomechanical Texture Coding in Rat Whiskers

Oladazimi, Maysam; Brendel, Wieland; Schwarz, Cornelius (2018)
Demixed principal component analysis of neural population data

Kobak, Dmitry; Brendel, Wieland; Constantinidis, Christos; Feierstein, Claudia E.; Kepecs, Adam; Mainen, Zachary F.; Qi, Xue-Lian; Romo, Ranulfo; Uchida, Naoshige; Machens, Christian K. (2016)
Feature Visualizations do not sufficiently explain hidden units of Artificial Neural Networks

Wichmann, Felix A.; Brendel, Wieland; Klein, Thomas (2023)
Five points to check when comparing visual perception in humans and machines

Funke, Christina M.; Borowski, Judy; Stosio, Karolina; Brendel, Wieland; Wallis, Thomas S. A.; Bethge, Matthias (2021)
If your data distribution shifts, use self-learning

Rusak, Evgenia; Schneider, Steffen; Pachitariu, George; Eck, Luisa; Gehler, Peter Vincent; Bringmann, Oliver; Brendel, Wieland; Bethge, Matthias (2021)
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Geirhos, Robert; Rubisch, Patricia; Michaelis, Claudio; Bethge, Matthias; Wichmann, Felix A.; Brendel, Wieland (2018)
Learning to represent signals spike by spike

Brendel, Wieland; Bourdoukan, Ralph; Vertechi, Pietro; Machens, Christian K.; Deneve, Sophie (2020)
On the surprising similarities between supervised and self-supervised models

Geirhos, Robert; Narayanappa, Kantharaju; Mitzkus, Benjamin; Wichmann, Felix A.; Brendel, Wieland; Bethge, Matthias (2020)
Partial success in closing the gap between human and machine vision

Geirhos, Robert; Narayanappa, Kantharaju; Mitzkus, Benjamin; Thieringer, Tizian; Bethge, Matthias; Wichmann, Felix A.; Brendel, Wieland (2021)
Robust deep learning object recognition models rely on low frequency information in natural images

Li, Zhe; Caro, Josue Ortega; Rusak, Evgenia; Brendel, Wieland; Bethge, Matthias; Anselmi, Fabio; Patel, Ankit; Tolias, Andreas; Pitkow, Xaq (2023)
Shortcut learning in deep neural networks

Geirhos, Robert; Jacobsen, Joern-Henrik; Michaelis, Claudio; Zemel, Richard; Brendel, Wieland; Bethge, Matthias; Wichmann, Felix A. (2020)
Unintended cue learning: Lessons for deep learning from experimental psychology

Geirhos, Robert; Jacobsen, Jörn-Hendrik; Michaelis, Claudio; Zemel, Richard; Brendel, Wieland; Bethge, Matthias; Wichmann, Felix A. (2020)

Now showing items 1-15 of 15

Report a Publication

Help

Browse

All of DSpace
This Community

Browsing Universitätsbibliographie by Author "Brendel, Wieland"

DSpace Repository

Browsing Universitätsbibliographie by Author "Brendel, Wieland"

Browse

All of DSpace

This Community

My Account