Adrien Gaidon shares his approach to building teams and taking state-of-the-art research from conception to production at Toyota Research Institute.

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Adrien Gaidon is the Head of Machine Learning Research at the Toyota Research Institute (TRI). His research focuses on scaling up ML for robot autonomy, spanning Scene and Behavior Understanding, Simulation for Deep Learning, 3D Computer Vision, and Self-Supervised Learning.

Connect with Adrien:

Twitter: https://twitter.com/adnothing

LinkedIn: https://www.linkedin.com/in/adrien-gaidon-63ab2358/

Personal website: https://adriengaidon.com/

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Topics Discussed:

0:00 Sneak peek, intro

0:48 Guitars and other favorite tools

3:55 Why is PyTorch so popular?

11:40 Autonomous vehicle research in the long term

15:10 Game-changing academic advances

20:53 The challenges of bringing autonomous vehicles to market

26:05 Perception and prediction

35:01 Fleet learning and meta learning

41:20 The human aspects of machine learning

44:25 The scalability bottleneck

Transcript:

http://wandb.me/gd-adrien-gaidon

Links Discussed:

TRI Global Research: https://www.tri.global/research/

todoist: https://todoist.com/

Contrastive Learning of Structured World Models: https://arxiv.org/abs/2002.05709

SimCLR: https://arxiv.org/abs/2002.05709

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