𝛁John

@iugoaoj

I love learning new things and sharing what I know. Computer Science undergrad at USP. He/Him

Vrijeme pridruživanja: listopad 2015.

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  1. Prikvačeni tweet
    2. lis 2019.

    Everyone (including myself) should follow this advice

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  2. proslijedio/la je Tweet
    prije 2 sata

    Radioactive data: tracing through training "We propose a new technique, \emph{radioactive data}, that makes imperceptible changes to this dataset such that any model trained on it will bear an identifiable mark."

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  3. proslijedio/la je Tweet
    prije 2 sata

    The names of 100 prisoners are put in 100 boxes. One at a time, privately, each prisoner opens and closes 50 boxes. They are set free if *everyone* finds their own name. Strategy can be discussed beforehand, but otherwise there's no communication. What's the best strategy? 1/23

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  4. proslijedio/la je Tweet
    prije 7 sati

    Seriously, though. Here's Sutton and Barto (1998), from the introduction to the book Reinforcement Learning. Too many don't understand this.

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  5. proslijedio/la je Tweet
    prije 7 sati

    These are not methods, but classes of problems that can be solved with many different methods: * reinforcement learning * procedural content generation * supervised learning

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  6. proslijedio/la je Tweet
    2. velj

    Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellum

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  7. proslijedio/la je Tweet
    3. velj

    Session 02 is Tuesday! Join for cancer genomics live-coding as Dr. (Stanford Medicine) and ( ) experiment with visual GPU UMAP for longitudinal analysis over thousands of cancer patients in GENIE / !

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  8. proslijedio/la je Tweet

    Please contact us if you have exciting ways to collaborate and strengthen machine learning in Africa.

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  9. proslijedio/la je Tweet

    Help revolutionize the world with full self-driving by joining us at Tesla Autopilot: It is very hard to find other places where AI expertise makes as much of a difference on as big of a problem.

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  10. proslijedio/la je Tweet

    Neural Tangent Kernels (NTK) are a way of understanding neural networks in a certain domain (in the limit of N ->\infty, W0 not ~0). It is beautiful. And somewhat counterintuitive. Here are two nice write-ups aimed at explaining: ,

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  11. proslijedio/la je Tweet

    Is there a technical podcast (or audiobook or anything else to *listen* to) that teaches ML, data science, or statistics without visual aid?

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  12. proslijedio/la je Tweet
    2. velj

    Play against my first home made game agent () I built using + + + ! Genuinely amazed that it seems to work 😅 Big thanks my teachers , , , and 👏👏👏

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  13. proslijedio/la je Tweet
    prije 16 sati

    Really excited to publish this Perspective today, open access! A huge project since 2001.

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  14. proslijedio/la je Tweet
    prije 15 sati

    The first paper on SciPy, after 19 years - feels so good to finally see this published! Credit goes to all SciPy contributors over all those years, amazing team effort! And thanks to Nature Methods for making it open access!

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  15. proslijedio/la je Tweet

    Disney presents: Hamilton. With The Original Broadway Cast. Filmed onstage at The Richard Rodgers Theatre. In A Theater Near You. October 15, 2021.

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  16. proslijedio/la je Tweet

    "One of the things I really like about this article is how it integrates work from the fields of artificial intelligence, psychology, neuroscience, and evolutionary theory." editor , picks Reinforcement Learning, Fast and Slow as her review of 2019

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  17. proslijedio/la je Tweet
    3. velj

    Ok so as of today we are homeless. We have nowhere to sleep tonight. Any help appreciated. SIGNAL BOOST PLEASE.

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  18. proslijedio/la je Tweet
    2. velj

    I’m confused. How did we conclude that the best way to prepare kids for the future is to cluster them into a setting where they are organized by age, into grades, and forced to learn the same things, at the same time and pace, 7 hours a day, 5 days a week, for 12 + years? Huh?

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  19. proslijedio/la je Tweet
    3. velj

    The first Prairie Colloquium will take place next Wednesday 12:00 ! Jean François Cardoso will speak about « Information geometry of Independent Component Analysis ».

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  20. proslijedio/la je Tweet
    3. velj

    "The measure and mismeasure of fairness: a critical review of fair machine learning" Corbett-Davies & Goel, If we want fair machine learning models, then first we're going to need a working definition of 'fair'...

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  21. proslijedio/la je Tweet
    31. sij

    Dear RL Twitter, we are having a discussion with the Stable Baselines maintainers about its future, and we need your opinion. As a big change is required anyway, what framework would you prefer to be the base for V3.0 ?

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