Claudio Michaelis

According to our database, Claudio Michaelis authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Why Machine Learning Models Fail: A Benchmarking Perspective.

Claudio Michaelis

PhD thesis, 2024

2023

Iterative weakly supervised learning for novel class object detection.

Dejana Mandic, Wieland Brendel, Claudio Michaelis

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2020

Shortcut learning in deep neural networks.

Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge, Felix A. Wichmann

Nat. Mach. Intell., 2020

Closing the Generalization Gap in One-Shot Object Detection.

Claudio Michaelis, Matthias Bethge, Alexander S. Ecker

CoRR, 2020

Optimizing Rank-Based Metrics With Blackbox Differentiation.

Michal Rolínek, Vít Musil, Anselm Paulus, Marin Vlastelica P., Claudio Michaelis, Georg Martius

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

Claudio Michaelis, Benjamin Mitzkus, Robert Geirhos, Evgenia Rusak, Oliver Bringmann, Alexander S. Ecker, Matthias Bethge, Wieland Brendel

CoRR, 2019

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

Robert Geirhos, Patricia Rubisch, Claudio Michaelis, Matthias Bethge, Felix A. Wichmann, Wieland Brendel

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

One-Shot Instance Segmentation.

Claudio Michaelis, Ivan Ustyuzhaninov, Matthias Bethge, Alexander S. Ecker

CoRR, 2018

One-shot Texture Segmentation.

Ivan Ustyuzhaninov, Claudio Michaelis, Wieland Brendel, Matthias Bethge

CoRR, 2018

One-Shot Segmentation in Clutter.

Claudio Michaelis, Matthias Bethge, Alexander S. Ecker

Proceedings of the 35th International Conference on Machine Learning, 2018