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Vincent Vanhoucke
Works at Google
Lives in San Francisco, CA
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Vincent Vanhoucke

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This is a work of fiction. Any resemblance to actual persons, cats, AIs, or actual events is purely coincidental.
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Lol
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Huge congratulations to +Sergey Levine and +Oriol Vinyals for being selected to MIT Technology Review's 35 Innovators Under 35!!
Our 16th annual list of young innovators highlights a mix of inventors, pioneers, entrepreneurs, humanitarians, and visionaries who are poised to be leaders in their fields.
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Vincent Vanhoucke

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/popcorn
 
NVIDIA has called out Intel for exaggerating its chip performance in neural networks training using old version of benchmarking.
Nvidia claims Intel used four-year-old data to make its new chips sound better.
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Given the amount of questions, would be great to design a Google Brain bot to reply them all so they can keep researching.. Thanks for listening!
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I'll be doing an AMA with the rest of the Brain crew on August 11th!
Google Brain will be doing an AMA in /r/MachineLearning on August 11 | r/MachineLearning at reddit.com
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I love the idea of using deep nets as a fast approximator for really hard to compute functions. In this example, fluid dynamic equations.
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+Chris Greene the paper Vincent shared mentions the physicsforests approach is the only known prior art. Very cool nevertheless! :)
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Vincent Vanhoucke

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When I joined Stanford's Compression and Classification Group in 1999, it became quickly evident to me that research in signal compression was really at an impasse: it was clear at the time that one would have to move towards more semantic interpretations of images and videos to make any significant gains in bandwidth, and in spite of standards already moving towards enabling these 'higher-level' coding methods, nobody really knew how to go about them.
Fast forward to today, I'm very excited to see deep nets make a significant dent into the problem, while enabling seamless, practical variable-rate coding, bit-per-bit progressive decoding, and with huge gains over JPEG to boot.
Abstract: This paper presents a set of full-resolution lossy image compression methods based on neural networks. Each of the architectures we describe can provide variable compression rates during deployment without requiring retraining of the network: each network need only be trained once.
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Today, we're releasing two large datasets for robotics research:

Grasping: A collection of 650k grasp attempts, data used in: http://arxiv.org/abs/1603.02199

Push: A collection of 59k examples of pushing motions, data used in: http://arxiv.org/abs/1605.07157

Both datasets contain RGB-D views of the arm, gripper and objects, along with actuation and position parameters. They were collected in a controlled environment using a wide collection of everyday objects, some of which were held out for evaluation. Enjoy!

Credits: +Sergey Levine, +Chelsea Finn and +Laura Downs.
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+Vincent Vanhoucke Indeed! Thanks for the fix!
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Reminder: if you have burning questions like: how much brain power can you cram into a single desk? Or: what's up with the ponies? head over to Reddit soon and AUA:
https://www.reddit.com/r/MachineLearning/comments/4w6tsv/ama_we_are_the_google_brain_team_wed_love_to/
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Coming up September 24-25: a two-day deep learning school on Stanford campus.
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REPETE 88 [ AV 1 TD 90 AV 1 TG 90 ]
LC

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+Mertcan yep, the French dialect. It's incidentally the only language I have formal training in :)
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Great ICML summary.
David Silver gave one of the best tutorials I've seen on his group's recent work in “deep” reinforcement learning. I learned about a few new techniques, including the benefits of asychrononous updates in distributed Q-learning https://arxiv.org/abs/1602.01783, which was presented in more detail ...
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Currently
San Francisco, CA
Previously
Public - 2 weeks ago
reviewed 2 weeks ago
Public - a month ago
reviewed a month ago
An avalanche of failures in the peak Holiday season. OpenTable booking broken, you have to go on site. Slow service. Inexperienced, confused looking staff. Tepid potato leek soup, much too salty to eat. Overcooked pasta and fries drowning in salt as well. This might have been a great restaurant in the past, but it's seemingly poorly managed.
Public - a year ago
reviewed a year ago
27 reviews
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Don't let the large 'Massage' sign on the front deter you. Quality work, courteous service, inexpensive, and performed on the spot.
Public - a month ago
reviewed a month ago
Very good food. Bring a heavy jacket in the Winter months, this place is freezing and the waiters all wear one.
Public - a year ago
reviewed a year ago
A mean hot chocolate.
Public - 2 years ago
reviewed 2 years ago