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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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    Gary Marcus‏ @GaryMarcus Nov 4
    • Report Tweet

    looking for pretrained language models that i can readily test a draft world-state change benchmark on. GPT is scoring essentially zero. what’s out there that is better that I can try? @ylecun @AntoineBordes @jaseweston still would like to test your recurrent entity networks

    7:45 PM - 4 Nov 2019
    • 7 Retweets
    • 32 Likes
    • Behnam Karami Sebastian Estrada Han Arunkumar Claudio Greco Will Brannon Kanishka Misra 👨‍🔬📈📊 Matthew Teow desertnaut
    8 replies 7 retweets 32 likes
      1. New conversation
      2. Daniel Roy‏ @roydanroy Nov 5
        • Report Tweet
        Replying to @GaryMarcus @ceobillionaire and

        If you build the data set, I bet a neural network can learn the distribution.

        4 replies 0 retweets 6 likes
      3. Gary Marcus‏ @GaryMarcus Nov 5
        • Report Tweet
        Replying to @roydanroy @ceobillionaire and

        life is not a Kaggle competition. my kids didn’t demand i give them IID data sets that matched the tests in the world. people will be free to use massive online corpora for myt benchmark, but the hand holding has to stop.

        2 replies 6 retweets 18 likes
      4. 4 more replies
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      2. Luke Oakden-Rayner‏ @DrLukeOR Nov 5
        • Report Tweet
        Replying to @GaryMarcus @ylecun and

        For someone not deeply involved with NLP, what is a world state change benchmark about? Or is it a more general "changing the language but keeping the underlying laws" idea, for zero or few shot learning?

        1 reply 1 retweet 4 likes
      3. Gary Marcus‏ @GaryMarcus Nov 5
        • Report Tweet
        Replying to @DrLukeOR @ylecun and

        when we read or hear a story or just look around, we build an internal cognitive model of what’s going on; we update that model as we learn more. eg we track who has done what to whom, when, where, & why language neural nets like GPT-2 don’t see http://rebooting.ai  4

        3 replies 2 retweets 13 likes
      4. 4 more replies
      1. noahtren‏ @noahtren Nov 4
        • Report Tweet
        Replying to @GaryMarcus @ylecun and

        ALBERT seems like the best implementation right now for pretrained language modelshttps://github.com/google-research/google-research/tree/master/albert …

        0 replies 1 retweet 5 likes
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      1. Lav Varshney‏ @lrvarshney Nov 4
        • Report Tweet
        Replying to @GaryMarcus @ylecun and

        I wonder whether CTRL (https://arxiv.org/abs/1909.05858 ) could be appropriate; available on github https://github.com/salesforce/ctrl  https://github.com/huggingface/transformers/releases/tag/v2.1.1 … @StrongDuality @BMarcusMcCann

        0 replies 1 retweet 3 likes
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      1. New conversation
      2. Saj‏ @_SajB Nov 5
        • Report Tweet
        Replying to @GaryMarcus @ylecun and

        Let’s say D1 is the distribution trained on the network we are transferring. Let’s suppose D2 is the new distribution we are trying to learn. My intuition tells me that D1 and D2 are a lot closer in images than in natural language processing. Why is this ? Sure let me explain

        1 reply 0 retweets 1 like
      3. Saj‏ @_SajB Nov 5
        • Report Tweet
        Replying to @_SajB @GaryMarcus and

        In the images case we are mostly dealing with static data, however languages work in a time series manner. So the distance between D1 and D2 is much more drastic. This could be a reason why transfer learning in NLP is a lot harder than the image case.

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Antoine Bordes‏ @AntoineBordes Nov 4
        • Report Tweet
        Replying to @GaryMarcus @ylecun @jaseweston

        @HenaffMikael would know

        0 replies 0 retweets 1 like
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      1. Werner Bogula‏ @Bogula Nov 6
        • Report Tweet
        Replying to @GaryMarcus @ylecun and

        Statistical language models will never model anything like intelligence. It’s to AGI what homeopathy is to medicine.

        0 replies 0 retweets 0 likes
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