R. Geirhos, J.-H. Jacobsen, C. Michaelis, R. Zemel, W. Brendel, M. Bethge, and F. A. Wichmann
Shortcut Learning in Deep Neural Networks
Nature Machine Intelligence, 2, 665-673, 2020
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C. M. Funke, P. Vicol, K.-C. Wang, M. Kümmerer, R. Zemel, and M. Bethge
Disentanglement and Generalization Under Correlation Shifts
Conference on Lifelong Learning Agents (CoLLAs), 2022
BibTex

E. Creager, D. Madras, J.-H. Jacobsen, M. A. Weis, K. Swersky, T. Pitassi, and R. Zemel
Flexibly Fair Representation Learning by Disentanglement
International Conference on Machine Learning (ICML), 2019
URL, BibTex

J.-H. Jacobsen, J. Behrmann, R. Zemel, and M. Bethge
Excessive Invariance Causes Adversarial Vulnerability
International Conference on Learning Representations (ICLR), 2019
BibTex

R. Geirhos, J.-H. Jacobsen, C. Michaelis, R. Zemel, W. Brendel, M. Bethge, and F. A. Wichmann
Unintended cue learning: Lessons for deep learning from experimental psychology
Journal of Vision, 20(11), 652, 2020
DOI, BibTex