Daniel Lowd

@dlowd

Machine learning; probabilistic, adversarial, and relational models. Spouse of scifi/furry writer . he/him

Eugene, OR
Vrijeme pridruživanja: travanj 2009.

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  1. Prikvačeni tweet
    12. lip 2018.

    Can Facebook use AI to fight online abuse? In this article, I discuss the challenge of vague definitions, evasive adversaries, and data poisoning in the fight against spam, hate speech, and more.

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  2. prije 16 minuta

    “Oh, there's nothing halfway About the Iowa way to [caucus] When we [caucus] Which we may not do at all” — Meredith Wilson, “Iowa Stubborn,” from The Music Man

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  3. prije 17 sati

    There's no excuse for choosing to deadname, least of all from a professional organization.

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  4. proslijedio/la je Tweet

    Ruha Benjamin will present the concept of the “New Jim Code” to explore a range of discriminatory designs that encode inequity on TOMORROW (2/4/20) at 7:30 pm at First United Methodist Church, Eugene Oregon

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  5. prije 17 sati

    ...I might have two favorites though. Troi establishing first contact with new aliens and Riker being a dad would be so much fun...

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  6. proslijedio/la je Tweet

    Re the virtual traffic hack: “We’ve launched the ability to distinguish between cars and motorcycles... though we haven’t quite cracked traveling by wagon. We appreciate seeing creative uses of Google Maps like this...”😃

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  7. 3. velj

    I think the last one might be my favorite -- Top Gun in space!

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  8. 3. velj

    Thread! 25 hypothetical Star Trek shows that I would totally watch, centering women and PoC.

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  9. 2. velj

    Perfect real-world example of data poisoning!

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  10. 2. velj

    Based on my experience of both, learning to ride a unicycle is much easier.

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  11. 2. velj

    Research is like learning to ride a unicycle: falling down repeatedly is a necessary part of the process.

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  12. proslijedio/la je Tweet

    it's faculty job hunting season! i wrote up the advice i give my students and others as they start interviewing. tips are mostly relevant to HCI/CS interviews ::

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  13. proslijedio/la je Tweet

    The field is already self-correcting. Good departments/labs are clearing their eyes, caring less about paper count, seeing through the noise. Don't worry so much about the ICML deadline. Slow down, relax, try to do work you're proud of, submit when it's ready.

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  14. proslijedio/la je Tweet
    31. sij

    Note that this is *not* just about time series and trends. It's about the much more subtle issue of "domain shift". How do you know if you have domain shift? Here's a great method, from our forthcoming book ():

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  15. proslijedio/la je Tweet
    31. sij

    Star Trek: Crusher — an intense sci-fi medical drama Star Trek: LaForge — respected professor oversees wacky scientist mishaps at the academy Star Trek: Troi — classic exploration show, centered on having empathy for new, different aliens Star Trek: Worf — Klingon politics

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  16. proslijedio/la je Tweet
    30. sij

    My big takeaway from has been understanding the context of the tension between "algorithmic" and "anti-algorithmic" solutions Sometimes there's a problem where you should do some code or math to make it better Sometimes you just need to shut down the system

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  17. 29. sij

    While we’re at it, let’s replace PETA with an AI too.

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  18. proslijedio/la je Tweet
    29. sij

    If you want to go beyond the stuff you will learn in MOOCs follow this class from (not an easy class if you take it seriously). Video lectures:

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  19. proslijedio/la je Tweet
    27. sij
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  20. 28. sij

    "Time makes you boulder." -- Stevie Nicks, "Landslide"

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  21. 28. sij

    Coincidentally, this is the name of my ironic pop-punk-ska-fusion band.

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