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Jon Gauthier's homepage - foldl

Hi, I’m Jon Gauthier. I’m a student at Stanford University. In the Symbolic Systems. Program. I work in the Natural Language Processing Group. Where my research involves developing computational models of language understanding and production. My recent work has focused on deep learning for NLP. I am advised by Christopher Manning. In the Stanford NLP Group and collaborate with colleagues at OpenAI. I visited NIPS 2016. In December 2016 and gave a talk on situated language learning. Our paper on SPINN.

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Jon Gauthier's homepage - foldl | foldl.me Reviews

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Hi, I’m Jon Gauthier. I’m a student at Stanford University. In the Symbolic Systems. Program. I work in the Natural Language Processing Group. Where my research involves developing computational models of language understanding and production. My recent work has focused on deep learning for NLP. I am advised by Christopher Manning. In the Stanford NLP Group and collaborate with colleagues at OpenAI. I visited NIPS 2016. In December 2016 and gave a talk on situated language learning. Our paper on SPINN.

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1 foldl

2 blog

3 feed

4 recent personal news

5 at google deepmind

6 sam bowman

7 i joined openai

8 research

9 jon gauthier

10 and igor mordatch

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Jon Gauthier's homepage - foldl | foldl.me Reviews

https://foldl.me

Hi, I’m Jon Gauthier. I’m a student at Stanford University. In the Symbolic Systems. Program. I work in the Natural Language Processing Group. Where my research involves developing computational models of language understanding and production. My recent work has focused on deep learning for NLP. I am advised by Christopher Manning. In the Stanford NLP Group and collaborate with colleagues at OpenAI. I visited NIPS 2016. In December 2016 and gave a talk on situated language learning. Our paper on SPINN.

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Situated language learning - foldl

http://www.foldl.me/2016/situated-language-learning

Update: this content (and more) is now available as a more thorough abstract on arXiv. Co-authored with my OpenAI colleague Igor Mordatch. I’ve been really pleased with the response to my last post,. On “solving language.”. Before I get started: this space is rapidly increasing in activity, which is certainly a good thing for science! Facebook Research just released their Environment for Communication-based AI. And there have been murmurs of other similar environments around the Internets.). Was that nat...

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foldl.me - foldl

http://www.foldl.me/posts

Week of 26 February. I think it's necessary that linguistic meaning be derived from things that are. I call this claim a "bridging principle," and demonstrate parallel bridging principles in several subfields of philosophy. Week of 6 November. A paradigm for bringing about language acquisition in artificial agents. Week of 18 September. Stop telling me language is about to be "solved": We haven't even found the right tasks yet. Hybrid tree-sequence neural networks with SPINN. Week of 19 June. On Metacade...

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Cesar Salgado - Quora

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This page may be out of date. Save your draft. Before refreshing this page. Submit any pending changes before refreshing this page. Master's Student highly interested in Deep Learning. 8 Answers Most Recent. What is the importance of Deep Residual Networks? Master's Student highly interested in Deep Learning. Can I use deep learning to learn deep learning? Master's Student highly interested in Deep Learning. I think this question relates to the metalearning machines. See LEARNING TO LEARN. What academia ...

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Inspiring People – Learn365Project

https://learn365project.com/category/inspiring-people

Every day, I learn something new and write about it. View therealhuyenchip’s profile on Facebook. View chipro’s profile on Twitter. View huyenchip19’s profile on Instagram. View chipro’s profile on LinkedIn. View chiphuyen’s profile on GitHub. Enter your email address to follow this blog and receive notifications of new posts by email. Join 377 other followers. Day 290] Did Viraj Mehta really flip off American people on TV? Day 234] What's dating like for a white girl/guy in Hanoi. Things I write about.

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Jon Gauthier's homepage - foldl

Hi, I’m Jon Gauthier. I’m a student at Stanford University. In the Symbolic Systems. Program. I work in the Natural Language Processing Group. Where my research involves developing computational models of language understanding and production. My recent work has focused on deep learning for NLP. I am advised by Christopher Manning. In the Stanford NLP Group and collaborate with colleagues at OpenAI. I visited NIPS 2016. In December 2016 and gave a talk on situated language learning. Our paper on SPINN.

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