Jason Yosinski

@jasonyo

Machine Learning researcher, Uber AI Labs founding team, Recursion Pharma. Via Cornell, Montreal, Caltech. Frequent giver of high fives.

Vrijeme pridruživanja: veljača 2008.

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  1. proslijedio/la je Tweet
    29. sij

    Excited to share about our new XAI work in a "How to explain neural networks?" talk at in SF tomorrow (Thursday)!!

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  2. proslijedio/la je Tweet
    28. sij

    We just released on arXiv our work on playing text adventure games wit Go-Explore in which we achieve surprising generalization results:

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  3. proslijedio/la je Tweet
    27. sij

    Tips on negotiating an offer: You've done well in the interview. Now you have the recruiter calling you and reading out some numbers for you. What do you do? Here are some tips I give people. A 🧵

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  4. proslijedio/la je Tweet
    28. sij

    It used to be Dr Alf. Well, now I guess it's Ass Prof Alf 😜 Yeah, I'm still focussed on teaching 🤓 but now I'm mentoring too. I'm healthy 💪🏻, in love ❤️, happy 🥰, and I've accomplished my dream 👨🏼‍🏫. I think I just won at life. 😁

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  5. proslijedio/la je Tweet
    24. pro 2019.

    Working with a friend can cost both a business and a friendship. It can work if the friendship came after working together. It won’t work if the friendship came before and competence is merely assumed.

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  6. proslijedio/la je Tweet
    24. pro 2019.

    Some folks still seem confused about what deep learning is. Here is a definition: DL is constructing networks of parameterized functional modules & training them from examples using gradient-based optimization....

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

    Looks like PPLM is on the front page of Hacker News today 🎉 congrats et al.! Thread:

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

    Plug and play language models accepted to . Super excited about this work! Thanks to the amazing and for mentoring and hosting me, and for NLP wisdom! Thanks to for invaluable contributions!

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  9. 12. pro 2019.
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  10. 9. pro 2019.

    7/ Sat 4:15 pm, West 121 + 122. On Science meets Engineering of Deep Learning panel with Aparna Lakshmiratan, , , , moderated (but never in moderation) by . And finally: have a great 👊!

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  11. 9. pro 2019.

    6/ Fri 2:30 pm, West 114 + 115. Casual "Retrospective Lightning Talk" (== storytelling?) with (and possibly with remote ) on CoordConv paper from last year.

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  12. 9. pro 2019.

    5/ Fri 9:45 am, West 211 - 214. Beyond first order methods in machine learning systems. Workshop poster by with , , , , Aditya Rawal.

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  13. 9. pro 2019.

    4/ Fri 9:30 am, West 116 + 117, Winners of ’s CellSignal competition announced. Short talks by Kaggle CEO + two winners! (Ping me or if similar FT work interests you )

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  14. 9. pro 2019.

    3/ Thurs 5:00 pm, poster #67. Hamiltonian Neural Networks, by with Misko Dzamba. Bonus: shirt giveaway (designer: Misko)!

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  15. 9. pro 2019.

    2/ Tues 5:30 pm, poster #99. LCA: Loss Change Allocation for Neural Network Training, by with , . (see also recorded talk: )

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  16. 9. pro 2019.

    1/ Tues 10:45 am, poster #111. Deconstructing Lottery Tickets, by with , .

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  17. 9. pro 2019.

    Just landed in Vancouver for ! Here are a few things we or I are presenting 🤓, and one I just care about and want to advertise ♥️. Stop by any for free high five!

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  18. 9. pro 2019.

    Uber is presenting 11 papers this week at , including one oral and two spotlights! See below for summaries of all and poster locations/times:

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  19. proslijedio/la je Tweet
    9. pro 2019.

    Excellent tips from the D&I chairs at

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  20. proslijedio/la je Tweet
    9. pro 2019.

    I'll be at and Tues-Sat for anyone who wants to chat about ML in bio and drug discovery. If you're looking for internships, FT pos'ns, or collabs in ML for drug discovery, my team is actively looking for all 3. More details ⬇️!

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