Skip to content
Dzmitry Bahdanau-BW_F

Dzmitry Bahdanau

Appointment

  • Canada CIFAR AI Chair
  • Pan-Canadian AI Strategy

Connect

Google Scholar

About

Dzmitry Bahdanau’s research goal is to further the adoption and widespread use of language user interfaces for human-computer interaction. His research seeks to align ideas from the disciplines of deep learning, linguistic and symbolic AI. Topics of key interest to Dzmitry include semantic parsing and task-oriented dialogue models, in particular making such models generalize more systematically, perform effectively with less training data and be easily adaptable to new domains.

Relevant Publications

  • Bahdanau, D., Murty, S., Noukhovitch, M., Nguyen, T. H., de Vries, H., & Courville, A. (2018). Systematic generalization: what is required and can it be learned?. arXiv preprint arXiv:1811.12889.
  • Bahdanau, D., Cho, K., & Bengio, Y. (2014). Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473.

Support Us

CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.

MaRS Centre, West Tower
661 University Ave., Suite 505
Toronto, ON M5G 1M1 Canada