Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich. Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 11360-11397, PMLR, 2023. [doi]

@inproceedings{GhoshYAB23,
  title = {Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat},
  author = {Shantanu Ghosh and Ke Yu and Forough Arabshahi and Kayhan Batmanghelich},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/ghosh23c.html},
  researchr = {https://researchr.org/publication/GhoshYAB23},
  cites = {0},
  citedby = {0},
  pages = {11360-11397},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}