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End-to-End Multimodal Representation Learning for Video Dialog
Video-based dialog task is a challenging multimodal learning task that has received increasing attention over the past few years with state-of-the-art obtaining new performance records.
Self-Supervised Representation Learning for CAD
Assisting design with data-driven machine learning methods is hampered by lack of labeled data in CAD's native format; the parametric boundary representation (B-Rep).
Safe Reinforcement Learning with Natural Language Constraints
We then develop an agent with a modular architecture that can interpret and adhere to such textual constraints while learning new tasks.
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