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GaryMarcus's profile
Gary Marcus
Gary Marcus
Gary Marcus
@GaryMarcus

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Gary Marcus

@GaryMarcus

CEO/Founder of http://Robust.AI ; cognitive scientist, and best-selling author. New book: http://Rebooting.AI : Building Artificial Intelligence We Can Trust

garymarcus.com
Joined December 2010

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    1. Gary Marcus‏ @GaryMarcus 23 Nov 2018
      • Report Tweet

      Gary Marcus Retweeted Yann LeCun

      @ylecun i absolutely do not dismiss gradient based learning (as part of larger system) & have said so publicly and to you privately. please read deep learning: a critical appraisal, particularly parts about deep learning as tool of larger system, and stop misrepresenting me. 1/2https://twitter.com/ylecun/status/1065837329221328896 …

      Gary Marcus added,

      Yann LeCun @ylecun
      Replying to @ylecun @GaryMarcus
      I do not dismiss symbols. I dismiss approaches to reasoning that are incompatible with gradient-based learning. Make symbol-based differentiable, and you win. But you seem to disapprove of gradient-based learning.
      4 replies 2 retweets 9 likes
      Show this thread
    2. Yann LeCun‏ @ylecun 23 Nov 2018
      • Report Tweet
      Replying to @GaryMarcus

      As I, Geoff, Léon Bottou and others have said: "replace symbols by vectors and logic by algebra". This does not preclude reasoning, or even variable binding. But it may make reasoning differentiable. Read Leon's "from ML to Machine Reasoning". Call it symbolic or not, no matter.

      6 replies 8 retweets 42 likes
    3. Grady Booch‏Verified account @Grady_Booch 23 Nov 2018
      • Report Tweet
      Replying to @ylecun @GaryMarcus

      Serious question: a) must reasoning be differentiable to be called reasoning? and b) that notwithstanding, do you assert that there are not other paths to what we would call reasoning? (And I’m searching for papers that help me understand your POV)

      2 replies 1 retweet 7 likes
    4. Thomas G. Dietterich‏ @tdietterich 23 Nov 2018
      • Report Tweet
      Replying to @Grady_Booch @ylecun @GaryMarcus

      We generally convert both learning and reasoning into optimization. We can optimize with gradient-based methods if the representations are differentiable. There are other methods, but stochastic gradient descent has proved to be extremely successful

      3 replies 4 retweets 16 likes
      Gary Marcus‏ @GaryMarcus 24 Nov 2018
      • Report Tweet
      Replying to @zarzuelazen @tdietterich and

      why would that make me “half right” when it is what i am calling for?

      5:24 PM - 24 Nov 2018
      0 replies 0 retweets 0 likes

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