This Looks Like That: Deep Learning for Interpretable Image Recognition

Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su. This Looks Like That: Deep Learning for Interpretable Image Recognition. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 8928-8939, 2019. [doi]

@inproceedings{ChenLTBRS19,
  title = {This Looks Like That: Deep Learning for Interpretable Image Recognition},
  author = {Chaofan Chen and Oscar Li and Daniel Tao and Alina Barnett and Cynthia Rudin and Jonathan Su},
  year = {2019},
  url = {http://papers.nips.cc/paper/9095-this-looks-like-that-deep-learning-for-interpretable-image-recognition},
  researchr = {https://researchr.org/publication/ChenLTBRS19},
  cites = {0},
  citedby = {0},
  pages = {8928-8939},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}