Hattie Zhou

@oh_that_hat

Machine learning . Self taught. Musical lover. The reward of a thing well done is to have done it.

San Francisco, CA
Vrijeme pridruživanja: prosinac 2010.

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  1. 24. sij

    If I was this competent I’d run for the presidency instead...

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  2. 19. sij

    "You can find any pattern you want, to any level of precision you want, as long as you're prepared to ignore enough data." -

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  3. 5. sij

    The Royal Institution’s YouTube channel is a treasure trove of great talks - highly recommend 👍 One of my favourites is this intro to quantum fields theory by Prof David Tong:

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  4. 5. sij

    Two mathematicians meet at a bar- Bob: what field do you work in? Alice: knot theory. Bob: ok what then? 🙂

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  5. 4. sij

    Fun puzzle! I have 5 cards (1,2,3,4,5), and I put 2 cards face down. You are allowed to flip 1 of the 2 cards. Then you have to guess if it is higher or lower than the other one. Is it possible to find a strategy with more than 50% chance of success (for any 2 cards)?

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

    Giving a talk on Deep Ensembles: A Loss Landscape Perspective (w/ the amazing and Huiyi Hu) at Bayesian workshop Friday 9.00 am. Come to see the exciting followup of

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  7. 12. pro 2019.

    Poster #67 (and this highly coveted shirt 👇) this afternoon is not to be missed!

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    10. pro 2019.
    Odgovor korisniku/ci

    This is such a cool paper! Lots of people talking about it this week.

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  9. 10. pro 2019.

    Come hear about how Loss Change Allocation (LCA) can be used to track per-parameter learning in neural networks! Today at 5:30, poster #99!

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  10. 10. pro 2019.

    Come chat about lottery tickets, pruning, random weight networks, or general neural net magical sauce this morning at poster #111!

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

    Stop by booth and check out our demo on a Lambda Tensorbook!

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  12. 5. pro 2019.

    I’m excited to head to (my first! 😵) in a few days! Looking forward to the papers/workshops and meeting wonderful folks! Shoot me a msg if you’ll be there and want to chat/say 👋 :)

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

    Code integration into 🤗/transformers repo and production of the interactive demo: tremendous work from 🤗 🤗and painful debugging weekends with made it possible to try pplm easily and freely online now!

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    5. pro 2019.

    Over the past 5 months we’ve been experimenting how to steer a mammoth without training it. Here is how.

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    25. stu 2019.

    Causality for Machine Learning. (arXiv:1911.10500v1 [cs.LG])

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    23. stu 2019.

    The Bus Ticket Theory of Genius:

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  17. 22. stu 2019.

    In elementary school, I used to: - Sneak candy into school in bulk and sell them in pieces - Issue “library membership cards” that allowed people to read my assortment of short stories (the membership was free because I was playing the long game...)

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  18. 21. stu 2019.

    Check out this talk on LCA from my favourite speaker / storyteller . It's an absolute treat! Also come chat with us at NeurIPS about it!

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  19. 7. stu 2019.
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  20. 2. stu 2019.

    A particularly poignant passage about the scientist’s relationship to Nature.

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