Josh Susskind

@jsusskin

At Apple working on new deep learning methods and building a fundamental ML research team within the hardware org. Previously built neural networks for FaceID.

Cupertino, CA
Vrijeme pridruživanja: veljača 2009.

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  1. proslijedio/la je Tweet
    1. velj

    Until last month, the only thing I really knew about Wuhan was that it had a rocking live music scene (because we published like a dozen features on Wuhan punk, Wuhan black metal, Wuhan hip-hop etc). Now it'll be forever associated with . I know there's worse things

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  2. 2. velj
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  3. 27. sij

    No witnesses, but sure let’s talk about Jesus and Kobe Bryant to open the senate impeachment proceedings today.

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  4. 16. sij

    I'm not sure about trial by combat for resolving domestic disputes, but perhaps it would make an exciting method for resolving disagreements between neural nets.

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  5. 7. sij
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  6. 6. sij

    My group at Apple is looking to hire machine learning software engineers to work closely with our research team. If you are interested, check out and feel free to message me.

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  7. 29. pro 2019.
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  8. 25. pro 2019.

    Happy 4th day of Hannukah AND merry Christmas AND happy holidays more generally to all whether you are with loved ones or are stuck working somewhere!

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  9. 24. pro 2019.

    Good for junior researchers to see that even prolific authors/labs tend to have acceptance rates not to different than the conference average.

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  10. 20. pro 2019.

    Cool stylized photo from last night in Vancouver for complements of Google Photos on top of a nice night shot on my iPhone 11.

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  11. 10. pro 2019.
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  12. 10. pro 2019.

    Criticizing someone’s method during a talk in front of thousands of people is not cool. Save it for an email or invite the speaker to coffee.

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  13. 10. pro 2019.

    Come see our spotlight tonight on Adversarial Fisher Vectors in the generative model session at 5:15pm and poster (#72) at !

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  14. 9. pro 2019.

    This was a great tutorial at . I was wondering whether I was the only one surprised by interesting relations between standard deep learning optimization techniques and Bayesian methods, but I think people got a lot out of it!

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

    I’m excited to share some papers from our research team at Apple. These will be presented at on Dec 11: by , , & AND by & . More info:

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  16. 8. pro 2019.

    On way to now. Can’t wait for the early morning registration lineup!!

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  17. 2. pro 2019.

    Check out the "Apple at NeurIPS 2019" blog post on showcasing new research papers. We'll be presenting our work on Adversarial Fisher Vectors () on Tuesday Dec 10 in a spotlight presentation! Hope to see people there!

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  18. 16. stu 2019.

    Interesting neither overleaf nor submission site seemed to have much trouble with the >10K submissions for . At least not that I noticed.

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  19. 11. stu 2019.

    I love this. Definitely hard to do well. Here’s some heuristics I like to follow: 1. Remove useless fluff and cliches from the intro and focus on the critical argument you want the reader to grasp. 2. Take related work seriously. It should inform the reader.

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  20. 4. stu 2019.

    Wow, pokemon are good stimuli for generative models. These renderings really highlight the strange incoherence in the configural details produced by GANs.

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