NVIDIA Toronto AI Lab
NVIDIA Toronto AI Lab
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Marc T. Law
Latest
Spacetime Representation Learning
Optimizing data collection for machine learning
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
Domain Adversarial Training: A Game Perspective
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
Ultrahyperbolic Neural Networks
Self-Supervised Real-to-Sim Scene Generation
f-Domain-Adversarial Learning: Theory and Algorithms
Ultrahyperbolic Representation Learning
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