Interpretability vs. Complexity: The Friction in Deep Neural Networks

José P. Amorim, Pedro H. Abreu, Mauricio Reyes 0001, João A. M. Santos. Interpretability vs. Complexity: The Friction in Deep Neural Networks. In 2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020. pages 1-7, IEEE, 2020. [doi]

@inproceedings{AmorimA0S20,
  title = {Interpretability vs. Complexity: The Friction in Deep Neural Networks},
  author = {José P. Amorim and Pedro H. Abreu and Mauricio Reyes 0001 and João A. M. Santos},
  year = {2020},
  doi = {10.1109/IJCNN48605.2020.9206800},
  url = {https://doi.org/10.1109/IJCNN48605.2020.9206800},
  researchr = {https://researchr.org/publication/AmorimA0S20},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6926-2},
}