Progress & Compress: A scalable framework for continual learning

Jonathan Schwarz, Wojciech Czarnecki 0001, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell. Progress & Compress: A scalable framework for continual learning. In Jennifer G. Dy, Andreas Krause 0001, editors, Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. Volume 80 of JMLR Workshop and Conference Proceedings, pages 4535-4544, JMLR.org, 2018. [doi]

@inproceedings{Schwarz0LGTPH18,
  title = {Progress & Compress: A scalable framework for continual learning},
  author = {Jonathan Schwarz and Wojciech Czarnecki 0001 and Jelena Luketina and Agnieszka Grabska-Barwinska and Yee Whye Teh and Razvan Pascanu and Raia Hadsell},
  year = {2018},
  url = {http://proceedings.mlr.press/v80/schwarz18a.html},
  researchr = {https://researchr.org/publication/Schwarz0LGTPH18},
  cites = {0},
  citedby = {0},
  pages = {4535-4544},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018},
  editor = {Jennifer G. Dy and Andreas Krause 0001},
  volume = {80},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}