Rezultati pretraživanja
  1. 2. velj

    “100x faster Hyperparameter Search Framework with Pyspark” by Rahul Agarwal

  2. 2. velj
  3. 1. velj

    Good time to remind about this paper from the : "Avoiding a Tragedy of the Commons in the Peer Review Process"

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  4. 1. velj
  5. 1. velj
  6. 1. velj
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  9. 1. velj

    I just came across these notes on -> 70 pages of research summaries. Thanks to these notes I discovered work on successor representations and state uncertainty.

  10. 31. sij

    "Self-Driving Research in Review: NeurIPS 2019" – short reviews of papers from Machine Learning for Autonomous Driving Workshop and main conference by and from

  11. 29. sij

    Nuria Oliver , renowned AI researcher & board member shared ELLIS' mission & new initiative announced at to retain AI talent in Europe. Check out interview & podcast

  12. 29. sij

    Reminder to join us on Monday night at 6pm Eastern to learn about and why conferences rule (and how to capitalize on the experience) from .

  13. 28. sij

    If you weren't able to make it to , head over to our blog for a recap of our favorite self-driving-related papers from the conference.

  14. ■ Research Blog 公開 ■ 先月カナダで行われた の国際学会 に関する 参加報告レポートを公開! ワークショップとメンタリングセッションで AILab研究員が行った3件の研究発表の詳細に加え、 今回の会議の研究動向をご紹介しています📝

  15. “There is no such thing as a neutral tech platform,” warned developmental psychologist during her keynote talk at .

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  16. 26. sij
    Odgovor korisnicima i sljedećem broju korisnika:

    This is awesome. Thank you so much for sharing! Glad we could help make memorable for you

  17. 23. sij
    Odgovor korisniku/ci

    An excellent quote from (unfortunately can't remember who said it): "Once a metric becomes a target, it ceases to be a good metric." As soon as we reward people for having large twitter followings / citations counts / etc, it will be gamed and hence useless.

  18. 22. sij

    Next up: Monday 2/3 at 6PM - Join for recap and reasons for why conferences are worth your time. RSVP here:

  19. 22. sij

    Interesting plot, very close to my intuition. Honestly speaking, this manual tuning must go away ;)

  20. 22. sij

    Survey of machine-learning experimental methods at and Results of a poll and I ran, with some analysis and discussion of statistical power and reproducibility.

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