Geirhos, Robert

Shortcut learning in deep neural networks

Geirhos, R., Jacobsen, J.-H., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., & Wichmann, F. A. (2020) · Nature Machine Intelligence

Domain Adaptation and Few-Shot LearningAdversarial Robustness in Machine Learning

Cited by 2,224

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

Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F. A., & Brendel, W. (2018) · arXiv

Advanced Neural Network ApplicationsVisual perception and processing mechanisms

Cited by 1,490

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

Michaelis, C., Mitzkus, B., Geirhos, R., Rusak, E., Bringmann, O., Ecker, A. S., Bethge, M., & Brendel, W. (2019) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 324

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

Sorscher, B., Geirhos, R., Shekhar, S., Ganguli, S., & Morcos, A. S. (2022) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 142

Beyond Neural Scaling Laws: Beating Power Law Scaling Via Data Pruning

Sorscher, B., Geirhos, R., Shekhar, S., Ganguli, S., & Morcos, A. (2022) · Advances in Neural Information Processing Systems 35

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 142

Partial success in closing the gap between human and machine vision

Geirhos, R., Narayanappa, K., Mitzkus, B., Thieringer, T., Bethge, M., Wichmann, F. A., & Brendel, W. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 129

Scaling vision transformers to 22 billion parameters

Dehghani, M., Djolonga, J., Mustafa, B., Padlewski, P., Heek, J., Gilmer, J., Steiner, A., Caron, M., Geirhos, R., Alabdulmohsin, I., et al. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Humanity's Last Exam

Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 65

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution

Dehghani, M., Mustafa, B., Djolonga, J., Heek, J., Minderer, M., Caron, M., Steiner, A., Puigcerver, J., Geirhos, R., Alabdulmohsin, I., et al. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 45

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

Huber, L. S., Geirhos, R., & Wichmann, F. A. (2023) · Journal of Vision

Visual perception and processing mechanismsFace Recognition and Perception

Cited by 42

Getting aligned on representational alignment

Sucholutsky, I., Muttenthaler, L., Weller, A., Peng, A., Bobu, A., Kim, B., Love, B. C., Cueva, C. J., Grant, E., Groen, I., et al. (2023) · arXiv

Domain Adaptation and Few-Shot LearningExplainable Artificial Intelligence (XAI)

Cited by 36

Do generative video models understand physical principles?

Motamed, S., Culp, L., Swersky, K., Jaini, P., & Geirhos, R. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 19

Video models are zero-shot learners and reasoners

Wiedemer, T., Li, Y., Vicol, P., Gu, S. S., Matarese, N., Swersky, K., Kim, B., Jaini, P., & Geirhos, R. (2025) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 2

Can We Talk Models Into Seeing the World Differently?

Gavrikov, P., Lukasik, J., Jung, S., Geirhos, R., Mirza, M. J., Keuper, M., & Keuper, J. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0