Tal Kachman

@TalKachman

X Research staff member in ML and DL. physicists and simulation abuser par excellence. Opinions are my own not of my employer

Cambridge, MA
Vrijeme pridruživanja: kolovoz 2014.

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  1. proslijedio/la je Tweet
    prije 23 sata

    Nielsen - An elementary introduction to information geometry (As a beginner at differential geometry, I think this is stretching "elementary" a little bit)

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  2. proslijedio/la je Tweet
    3. velj

    Just received the printer proof for the cover of the Cambridge book. Forthcoming March 2020. It can be pre-ordered through Amazon: I hope you like it!

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  3. proslijedio/la je Tweet
    3. velj

    If the Russian government's attempted ban of ProtonMail has impacted you, you can access ProtonMail by using ProtonVPN and connecting to a VPN server or by using TOR browser. More details here: We are also working to overturn the ban as soon as possible.

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  4. proslijedio/la je Tweet
    3. velj

    No, no, Minister! Corruption could never be government policy. That is unthinkable! Only government practice.

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  5. 3. velj
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  6. proslijedio/la je Tweet
    1. velj

    The EU now has 1 GB of free space

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  7. proslijedio/la je Tweet
    1. velj

    35 years ago today, Richard Feynman's paper "Quantum Mechanical Computers" was published in 𝘖𝘱𝘵𝘪𝘤𝘴 𝘕𝘦𝘸𝘴. I think he'd be surprised and gratified to see everything that his original idea has led to.

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  8. proslijedio/la je Tweet
    1. velj

    I'm quitting Facebook. Not comfortable with the flood of false information that's allowed in its political advertising, nor am I confident in its ability to protect its users' privacy. Follow me (and Molly, aka The Thing of Evil) on Twitter, if you like.

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  9. 31. sij
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  10. proslijedio/la je Tweet

    'But, of course, it isn't really Good-bye, because the Forest will always be there... and anybody who is Friendly with Bears can find it.' ― A.A. Milne

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  11. proslijedio/la je Tweet
    30. sij

    Humans learn from curriculum since birth. We can learn complicated math problems because we have accumulated enough prior knowledge. This could be true for training a ML/RL model as well. Let see how curriculum can help an RL agent learn:

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  12. proslijedio/la je Tweet
    30. sij

    An interesting and accessible article on quantum hardware, with a focus on quantum readout error. Includes real numbers from real hardware operating in the Cloud.

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  13. proslijedio/la je Tweet
    29. sij

    Are you working on {few/zero/any}-shot learning, {semi/weakly/self/un}-supervised learning, etc? We are organizing a workshop on Learning with Limited Labels at CVPR20. If you are working on relevant topics consider submitting papers

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  14. proslijedio/la je Tweet
    28. sij

    A photo is a mathematical representation of your face.

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  15. 29. sij
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  16. 29. sij

    Of course, easier link

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  17. 29. sij

    Surprising paper (at least for me) comparing , and , go actually perform better. Very interesting, would be happy to see where does stack up there (maybe an upcoming blog post ?) Comparing Python, Go, and C++ on the N-Queens Problem

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  18. 29. sij

    This is insane, people check your setting to see the extent of Facebook tracking

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

    Having just read a proposal implying deep-networks are "low-bias" because they do not make prior assumptions about the data, I am reminded of this famous hacker koan (taken from "The New Hacker's Dictionary")

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