Robert Geirhos

Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?

May 26, 2023
Felix A. Wichmann, Robert Geirhos

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* Preprint version of article accepted by Annual Review of Vision Science (https://www.annualreviews.org/doi/abs/10.1146/annurev-vision-120522-031739). Posted with permission from the Annual Review of Vision Science, Volume 9 by Annual Reviews, http://www.annualreviews.org

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Scaling Vision Transformers to 22 Billion Parameters

Feb 10, 2023
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey Gritsenko, Vighnesh Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetić, Dustin Tran, Thomas Kipf, Mario Lučić, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby

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Beyond neural scaling laws: beating power law scaling via data pruning

Jun 29, 2022
Ben Sorscher, Robert Geirhos, Shashank Shekhar, Surya Ganguli, Ari S. Morcos

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The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks

May 20, 2022
Lukas S. Huber, Robert Geirhos, Felix A. Wichmann

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* Manuscript under review at Journal of Vision

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Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond)

Oct 12, 2021
Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann

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* Under review as a conference paper at ICLR 2022

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How Well do Feature Visualizations Support Causal Understanding of CNN Activations?

Jun 23, 2021
Roland S. Zimmermann, Judy Borowski, Robert Geirhos, Matthias Bethge, Thomas S. A. Wallis, Wieland Brendel

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* ICML 2021 XAI workshop version. Joint first and last authors. Project website at https://brendel-group.github.io/causal-understanding-via-visualizations/

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Partial success in closing the gap between human and machine vision

Jun 14, 2021
Robert Geirhos, Kantharaju Narayanappa, Benjamin Mitzkus, Tizian Thieringer, Matthias Bethge, Felix A. Wichmann, Wieland Brendel

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* A preliminary version of this work was presented as Oral at the 2020 NeurIPS workshop on "Shared Visual Representations in Human & Machine Intelligence" (arXiv:2010.08377)

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