Radim Řehůřek

@RadimRehurek

Applied , , . I like to build practical software. PhD in CS. Founder . Creator . Life in SEA 💘 (🇰🇷).

2013(e)ko urriak(e)tik Twitterren

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  1. Finkatutako Txioa
    uzt. 2

    Scoping and research analysis finished, starting R&D on real data.

  2. Duela 24 ordu

    DeepMind tackles another AI barrier: internal environment simulation. Next up in the GAI quest: simulation of self?

  3. (e)k Bertxiotua
    uzt. 20
  4. (e)k Bertxiotua
    uzt. 19

    The LSTM Strikes Back: sub 60 perplexities on LM PTB (single model). All you need is a (well tuned) LSTM :)

  5. (e)k Bertxiotua
    uzt. 20

    A call for "engineering corpus", to train domain-specific models on. Do you know such corpus? Please RT.

  6. uzt. 19

    A new way to evaluate topic models like LDA: topic intrusion in docs, instead of word intrusion in topics 🎯

  7. (e)k Bertxiotua
    uzt. 17

    Introducing Facets, an open source visualization tool to help understand and analyze datasets

  8. (e)k Bertxiotua
    uzt. 17
    Replying to and

    Thrilled to give a keynote on my fav topic at Warsaw in October: Building practical systems ❤️

  9. uzt. 15

    The old curmudgeon has a point though! Just his definition of "life" is too humane and constraining for the voracious AI crowd.

  10. (e)k Bertxiotua
    uzt. 14
  11. (e)k Bertxiotua
    uzt. 14

    This is cool. An adversarial attack library

  12. uzt. 14

    Already anticipating the startup pitches here 📸 "Instagram Democratized"? "MeUndies for Art"?

  13. (e)k Bertxiotua
    uzt. 12

    I would love to get some feedback from datascientists / kagglers with an extensive experience of feature binning:

  14. (e)k Bertxiotua
    uzt. 12
  15. (e)k Bertxiotua
    uzt. 11

    "TextExt - DBpedia Open Extraction Challenge"

  16. (e)k Bertxiotua
    uzt. 9

    NoScope: 1000x Faster Deep Learning Queries over Video

  17. uzt. 8

    Wow, neat extension of the "hashing trick"! Clean and simple idea for Bloom embeddings by HT

  18. (e)k Bertxiotua
    uzt. 7

    "When not to use deep learning" -- Great article!

  19. (e)k Bertxiotua
    uzt. 7

    What are some things you can do to optimize for iteration speed?

  20. (e)k Bertxiotua
    uzt. 6

    TFW a new contributor does an amazing job, fixing a long standing issue 🏅 Congrats and big thanks to !

  21. uzt. 6
    Replying to

    For the impatient: direct links to the datasets (text similarity, entailment, paraphrasing…)

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