Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks

Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang. Learning from the Past: Continual Meta-Learning with Bayesian Graph 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 5021-5028, AAAI Press, 2020. [doi]

@inproceedings{LuoHZWBY20,
  title = {Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks},
  author = {Yadan Luo and Zi Huang and Zheng Zhang and Ziwei Wang and Mahsa Baktashmotlagh and Yang Yang},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/5942},
  researchr = {https://researchr.org/publication/LuoHZWBY20},
  cites = {0},
  citedby = {0},
  pages = {5021-5028},
  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},
}