| ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness R Geirhos, P Rubisch, C Michaelis, M Bethge, FA Wichmann, W Brendel Oral @ International Conference on Learning Representations (ICLR 2019), 2019 | 2098 | 2019 |
| Shortcut Learning in Deep Neural Networks R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ... Nature Machine Intelligence 2 (11), 665-673, 2020 | 1046 | 2020 |
| Generalisation in humans and deep neural networks R Geirhos, CR Medina Temme, J Rauber, HH Schütt, M Bethge, ... Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 2018 | 498 | 2018 |
| Comparing deep neural networks against humans: object recognition when the signal gets weaker R Geirhos, DHJ Janssen, HH Schütt, J Rauber, M Bethge, FA Wichmann arXiv preprint arXiv:1706.06969, 2017 | 267 | 2017 |
| Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming C Michaelis, B Mitzkus, R Geirhos, E Rusak, O Bringmann, AS Ecker, ... Machine Learning for Autonomous Driving Workshop (NeurIPS 2019), 2019 | 262 | 2019 |
| Partial success in closing the gap between human and machine vision R Geirhos, K Narayanappa, B Mitzkus, T Thieringer, M Bethge, ... Oral @ Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021 | 86 | 2021 |
| Beyond neural scaling laws: beating power law scaling via data pruning B Sorscher, R Geirhos, S Shekhar, S Ganguli, AS Morcos Outstanding Paper Award @ Advances in Neural Information Processing Systems …, 2022 | 60 | 2022 |
| Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency R Geirhos, K Meding, FA Wichmann Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020 | 60 | 2020 |
| Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... Oral @ International Conference on Machine Learning (ICML 2023), 2023 | 39 | 2023 |
| On the surprising similarities between supervised and self-supervised models R Geirhos, K Narayanappa, B Mitzkus, M Bethge, FA Wichmann, ... Oral @ Shared Visual Representations in Humans & Machines Workshop (NeurIPS …, 2020 | 37 | 2020 |
| Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization J Borowski, RS Zimmermann, J Schepers, R Geirhos, TSA Wallis, ... International Conference on Learning Representations (ICLR 2021), 2020 | 18* | 2020 |
| Methods and measurements to compare men against machines FA Wichmann, DHJ Janssen, R Geirhos, G Aguilar, HH Schütt, ... Electronic Imaging 2017 (14), 36-45, 2017 | 14 | 2017 |
| Trivial or impossible--dichotomous data difficulty masks model differences (on ImageNet and beyond) K Meding, LMS Buschoff, R Geirhos, FA Wichmann International Conference on Learning Representations (ICLR 2022), 2021 | 10* | 2021 |
| How Well do Feature Visualizations Support Causal Understanding of CNN Activations? RS Zimmermann, J Borowski, R Geirhos, M Bethge, TSA Wallis, ... Spotlight @ Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021 | 8 | 2021 |
| Out-of-distribution robustness: Limited image exposure of a four-year-old is enough to outperform ResNet-50 LS Huber, R Geirhos, FA Wichmann Shared Visual Representations in Humans & Machines Workshop (NeurIPS 2021), 2021 | 7* | 2021 |
| Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing S Haghiri, P Rubisch, R Geirhos, F Wichmann, U von Luxburg arXiv preprint arXiv:1905.07234, 2019 | 7 | 2019 |
| Shortcuts: Neural networks love to cheat JH Jacobsen, R Geirhos, C Michaelis The Gradient 25, 2020 | 3 | 2020 |
| Are Deep Neural Networks Adequate Behavioral Models of Human Visual Perception? FA Wichmann, R Geirhos Annual Review of Vision Science 9, 2023 | 2 | 2023 |
| The developmental trajectory of object recognition robustness: comparing children, adults, and CNNs LS Huber, R Geirhos, FA Wichmann Oral @ 21st Annual Meeting of the Vision Sciences Society (VSS 2021), 1967, 2021 | 2 | 2021 |
| Of human observers and deep neural networks: A detailed psychophysical comparison R Geirhos, D Jannsen, H Schütt, M Bethge, FA Wichmann 17th Annual Meeting of the Vision Sciences Society (VSS 2017), 806-806, 2017 | 2 | 2017 |
Felix WichmannEberhard Karls Universität TübingenVerified email at uni-tuebingen.de
