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

Publications

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Better Long-Range Dependency by Bootstrapping A Mutual Information Regularizer
Authors: Y. Cao , P. Xu

Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training
Authors: G. W. Ding , Y. Sharma, K. Lui , R. Huang

Adapting Grad-CAM for Embedding Networks
Authors: L. Chen, J. Chen , H. Hajimirsadeghi , G. Mori

Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Authors: F. L. Da Silva, P. Hernandez-Leal , B. Kartal , M. E. Taylor

Diachronic Embedding for Temporal Knowledge Graph Completion
Authors: R. Goel, S. M. Kazemi , M. A. Brubaker , P. Poupart

Evaluating Lossy Compression Rates of Deep Generative Models
Authors: S. Huang, A. Makhzani, Y. Cao , R. Grosse
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Updates

Tutorial #5: variational autoencoders
Blog

NeurIPS 2019 roundup
Blog

RBC winners achieving global stature in their fields
Press

Tutorial #4: auxiliary tasks in deep reinforcement learning
Blog

Managing bias and risk at every step of the AI-building process
Press

Tutorial #3: few-shot learning and meta-learning II
Blog