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Cutting Edge Machine Learning.
Vast Computational Power.
Massive Data.
We research and we build.

Publications

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Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Authors: B. Wang , N. Hegde

LayoutVAE: Stochastic Scene Layout Generation from a Label Set
Authors: A. A. Jyothi , T. Durand , J. He, L. Sigal , G. Mori

Similarity-Preserving Knowledge Distillation
Authors: F. Tung , G. Mori

Lifelong GAN: Continual Learning for Conditional Image Generation
Authors: *M. Zhai, *L. Chen, F. Tung , J. He, M. Nawhal, G. Mori
* Denotes equal contribution

On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
Authors: C. Gao, B. Kartal , P. Hernandez-Leal , M. E. Taylor

Action Guidance with MCTS for Deep Reinforcement Learning
Authors: *B. Kartal , *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
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Updates

Tutorial #1: bias and fairness in AI
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Borealis AI supports new Korbit online course powered by AI tutor
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Understanding XLNet
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Simon Prince, Layla El Asri boost NLP focus in our Montreal research centre
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How Vancouver hit its AI stride
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Vancouver, Edmonton, and Waterloo research centres draw on unique local design
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