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  1. proslijedio/la je Tweet
    31. sij

    A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep. This is what a Tesla autopilot sees [source: ]

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  2. 20. sij

    The abstract submission deadline for MIDL 2020 is this Friday, Jan. 24th. I'd just like to amplify the exciting news that the launch of a new Open Access arXiv overlay journal for ML and Biomedical Image Analysis will be coupled with journal versions of papers from MIDL 2020.

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  3. proslijedio/la je Tweet
    12. sij
    Odgovor korisnicima

    I also published the math on how much land it would take to power the US entirely with solar. It's here, with references:

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  4. 13. sij

    I recently became aware that the snowy scenes of this video and famous Canadian song with drumming by 'Professor' Neil Peart was recorded at Le Studio which was located north of Montreal in Morin-Heights, Quebec.

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  5. 10. sij

    Another reason to submit medical image analysis and deep learning research to MIDL 2020 - deadline at the end of January: * The authors of select full papers will be invited to submit their work to a special issue of an open access journal.

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  6. 10. sij

    Another reason to submit to MIDL 2020 - deadline at the end of the month: * Daphne Koller will deliver a keynote presentation remotely, but in a way that we hope will increase interactivity, and help explore new ways to reduce the carbon footprint of academic conferences.

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  7. proslijedio/la je Tweet
    30. pro 2019.

    We have released our code for "Neural causal learning from unknown interventions" here . The paper is here . joint work with Olexa Bilaniuk, , , , Yoshua Bengio

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  8. proslijedio/la je Tweet
    14. pro 2019.

    will be talking in Causal Learning workshop Learning Neural Causal Models from Unknown Interventions. Joint work with Olexa Bilaniuk, Stefan Bauer, , , Yoshua Bengio. Give us feedback! :)

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  9. 13. pro 2019.
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  10. 11. pro 2019.

    Happening now! -- Neural Multisensory Scene Inference -- Wed Dec 11th 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #116

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  11. proslijedio/la je Tweet
    10. pro 2019.

    My collaborators and I also have a paper under review, showing the same thing happens in meta-RL settings, where we use learned curricula to solve *some* of the issues. Should hit arxiv soon!

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  12. proslijedio/la je Tweet
    10. pro 2019.

    «On adversarial mixup resynthesis» by . Autoencoders can be improved by learning to mix their encodings. These mixed encodings are trained adversarially to decode into realistic examples. Fantastic poster and outstanding presentation!

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  13. 10. pro 2019.

    Happening now! 05:30 -- 07:30 PM @ East Exhibition Hall B + C #61 Adversarial Mixup Resynthesis

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  14. proslijedio/la je Tweet
    10. pro 2019.

    Calling all attendees! Don't miss your chance to learn more from our incredible team of researchers! For all the details 👇

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  15. proslijedio/la je Tweet

    Listen to the latest Alliances w/'s and on how they are utilizing imitation and reinforcement learning to help robots replicate behaviors.

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  16. proslijedio/la je Tweet
    11. stu 2019.

    🤯 A critical moment recently passed by with barely a mention. Right now –this very moment – there are cars on US roads driving members of the public without a human at the wheel. This is an insane step forward. Learn more about what happens next. 👉

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  17. proslijedio/la je Tweet
    12. stu 2019.

    Excited to share our new work: Real-Time Reinforcement Learning * RTRL is a new framework for RL * states and actions evolve simultaneously * acknowledges that action selection takes time * new algo: Real-Time Actor-Critic (RTAC) * poster at

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  18. proslijedio/la je Tweet
    30. lis 2019.

    At ? Check out "Active Domain Randomization" at poster 2C-02 in today's poster session. paper: . and will be presenting it.

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  19. 30. lis 2019.

    Check out the excellent video which should give you a good idea what this work is about: There is a nice shot of our building too.

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  20. 30. lis 2019.

    Very proud of my team for their work on this!

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