Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach

Seo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu 0023, Eric P. Xing. Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. pages 11396-11404, AAAI Press, 2021. [doi]

@inproceedings{BangXL0X21,
  title = {Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach},
  author = {Seo-Jin Bang and Pengtao Xie and Heewook Lee and Wei Wu 0023 and Eric P. Xing},
  year = {2021},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/17358},
  researchr = {https://researchr.org/publication/BangXL0X21},
  cites = {0},
  citedby = {0},
  pages = {11396-11404},
  booktitle = {Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021},
  publisher = {AAAI Press},
  isbn = {978-1-57735-866-4},
}