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  1. Pinned Tweet
    11 Dec 2016
  2. Oct 23

    I'm at Caisse de dépôt et placement du Québec (CDPQ) in Montréal, PQ w/

  3. Oct 22

    I have 230 new followers from India, Ghana, and more last week. See

  4. Feb 3
  5. Oct 22
    , , and 7 others
  6. Oct 19

    Amazing resource thanks to : video walkthru of every single chapter of the famous Deep Learning book

  7. Oct 20

    'Emergent Translation in Multi-Agent Communication'

  8. Oct 18

    Should add that it's quite general, but within limits. Not all applications (most) allow a simulator and self-play

  9. Oct 18

    This is the main idea of the new AlphaGo paper:

  10. Oct 20

    Can we train machines without examples? Interview with Ian Goodfellow

  11. Oct 20
    , , and 6 others
  12. Oct 19

    Following in the footsteps of , is now building up torch.distributions:

  13. Oct 20

    Key Trends and Takeaways from RE•WORK Deep Learning Summit Montreal – Part 1

  14. Oct 20

    Thank you for participating in our contest which ends yesterday at midnight! Please share your post link here! Stay tuned for results!

  15. Oct 20

    Needed papers: Superhuman Dependency Installation with Deep Reinforcement Learning; PowerPoint/Projector Setup In One Shot with Metalearning

  16. Oct 19

    . announces founding Executive Director, and 21 new partners Read more here:

  17. Oct 20

    ML community must start discouraging hand-waving arguments in both papers and reviews. We cannot rely on "gut feelings" to make progress.

  18. Oct 18
    Replying to

    Fundamental physics is analogous to "the rules of Go." Which are simple and easily mastered. Go *strategy* is more like bio or neuroscience.

  19. Oct 18

    If humans are this blind to the truth of Go, how well are we doing with theoretical physics?

  20. Oct 18

    Quite addicting to witness self-play improvements over time. Go !

  21. Oct 18

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