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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