Shortcut Learning · Waterbirds
References

Cited works

Papers and tools that frame and enable this project.

  1. Sagawa, S., Koh, P. W., Hashimoto, T. B., & Liang, P. (2019). Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization. ICLR 2020.

    https://arxiv.org/abs/1911.08731
    BibTeX
    @inproceedings{sagawa2019distributionally,
      title={Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization},
      author={Sagawa, Shiori and Koh, Pang Wei and Hashimoto, Tatsunori B and Liang, Percy},
      booktitle={International Conference on Learning Representations},
      year={2020}
    }
  2. Geirhos, R., Jacobsen, J.-H., Michaelis, C., Zemel, R., Brendel, W., Bethge, M., & Wichmann, F. A. (2020). Shortcut Learning in Deep Neural Networks. Nature Machine Intelligence.

    https://arxiv.org/abs/2004.07780
    BibTeX
    @article{geirhos2020shortcut,
      title={Shortcut learning in deep neural networks},
      author={Geirhos, Robert and Jacobsen, J{\"o}rn-Henrik and Michaelis, Claudio and Zemel, Richard and Brendel, Wieland and Bethge, Matthias and Wichmann, Felix A},
      journal={Nature Machine Intelligence},
      volume={2},
      number={11},
      pages={665--673},
      year={2020}
    }
  3. Selvaraju, R. R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., & Batra, D. (2017). Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. ICCV 2017.

    https://arxiv.org/abs/1610.02391
    BibTeX
    @inproceedings{selvaraju2017gradcam,
      title={Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization},
      author={Selvaraju, Ramprasaath R and Cogswell, Michael and Das, Abhishek and Vedantam, Ramakrishna and Parikh, Devi and Batra, Dhruv},
      booktitle={Proceedings of the IEEE international conference on computer vision},
      pages={618--626},
      year={2017}
    }
  4. Wah, C., Branson, S., Welinder, P., Perona, P., & Belongie, S. (2011). The Caltech-UCSD Birds-200-2011 Dataset. Caltech Technical Report CNS-TR-2011-001.

    https://www.vision.caltech.edu/datasets/cub_200_2011/
    BibTeX
    @techreport{wah2011caltech,
      title={The Caltech-UCSD Birds-200-2011 Dataset},
      author={Wah, Catherine and Branson, Steve and Welinder, Peter and Perona, Pietro and Belongie, Serge},
      institution={California Institute of Technology},
      year={2011},
      number={CNS-TR-2011-001}
    }
  5. Zhou, B., Lapedriza, A., Khosla, A., Oliva, A., & Torralba, A. (2017). Places: A 10 Million Image Database for Scene Recognition. IEEE PAMI.

    https://arxiv.org/abs/1610.02055
    BibTeX
    @article{zhou2017places,
      title={Places: A 10 Million Image Database for Scene Recognition},
      author={Zhou, Bolei and Lapedriza, Agata and Khosla, Aditya and Oliva, Aude and Torralba, Antonio},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      year={2017}
    }
  6. Gildenblat, J. and contributors. (2021). PyTorch library for CAM methods.

    https://github.com/jacobgil/pytorch-grad-cam
    BibTeX
    @misc{jacobgilpytorchcam,
      title={PyTorch library for CAM methods},
      author={Jacob Gildenblat and contributors},
      year={2021},
      publisher={GitHub},
      howpublished={\url{https://github.com/jacobgil/pytorch-grad-cam}}
    }