Robert Geirhos
Google (United States)(US)DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Face Recognition and Perception, Visual Attention and Saliency Detection, Domain Adaptation and Few-Shot Learning, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- → Shortcut learning in deep neural networks(2020)1,649 cited
- → ImageNet-trained CNNs are biased towards texture; increasing shape bias\n improves accuracy and robustness(2018)818 cited
- → Generalisation in humans and deep neural networks(2018)239 cited
- → Benchmarking Robustness in Object Detection: Autonomous Driving when\n Winter is Coming(2019)198 cited
- → Comparing deep neural networks against humans: object recognition when the signal gets weaker(2017)154 cited
- → Scaling Vision Transformers to 22 Billion Parameters(2023)118 cited
- → Beyond neural scaling laws: beating power law scaling via data pruning(2022)85 cited