Robert Geirhos
Orcid: 0000-0001-7698-3187
According to our database1,
Robert Geirhos
authored at least 29 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Ausgezeichnete Informatikdissertationen, 2022
PhD thesis, 2022
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond).
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
CoRR, 2020
CoRR, 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.
CoRR, 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Comparing deep neural networks against humans: object recognition when the signal gets weaker.
CoRR, 2017
Proceedings of the Human Vision and Electronic Imaging 2017, Burlingame, CA, USA, 29 January 2017, 2017
2015
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015