Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks

Woo-Jeoung Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee. Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 2501-2508, AAAI Press, 2020. [doi]

@inproceedings{NamGCWL20,
  title = {Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks},
  author = {Woo-Jeoung Nam and Shir Gur and Jaesik Choi and Lior Wolf and Seong-Whan Lee},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/5632},
  researchr = {https://researchr.org/publication/NamGCWL20},
  cites = {0},
  citedby = {0},
  pages = {2501-2508},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}