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goodfellow_ian's profile
Ian Goodfellow
Ian Goodfellow
Ian Goodfellow
@goodfellow_ian

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Ian Goodfellow

@goodfellow_ian

Google Brain research scientist leading a team studying adversarial techniques in AI. Lead author of http://www.deeplearningbook.org 

San Francisco, CA
iangoodfellow.com
Joined September 2016

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    1. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      I suspect that peer review *actually causes* rather than mitigates many of the “troubling trends” recently identified by @zacharylipton and Jacob Steinhardt: https://arxiv.org/abs/1807.03341 

      28 replies 242 retweets 739 likes
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    2. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      I frequently serve as an area chair and I manage a small research group, so overall I see a lot of reviews of both my group’s work and others’ work

      1 reply 2 retweets 40 likes
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    3. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      It’s very common for reviewers to read empirical papers and complain that there is no “theory”. But they don’t ask for theory to address any specific question. I think they are just looking for an easy reason to reject—-they skim and don’t see scary equations.

      2 replies 44 retweets 234 likes
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    4. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      This is easily addressed by adding useless mathiness. Reviewers generally don’t call it out for being useless. It passes the “I skimmed and saw a scary equation or pretentious theorem name” test

      6 replies 14 retweets 171 likes
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    5. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      Similarly, reviewers often read a submission about a new method hat performs well and say to reject it because there is no explanation of why it performs well

      3 replies 4 retweets 66 likes
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    6. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      If you do add an explanation, no matter how implausible or unsupported by evidence, that’s usually enough to placate reviewers

      1 reply 3 retweets 72 likes
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    7. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      Reviewers often see papers that use empirical observations to understand how a system works, and respond with complaints that there is no new algorithm. This is easy to address by throwing a practically irrelevant new method into the paper.

      7 replies 7 retweets 100 likes
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    8. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      Reviewers seem to hate “science” papers, but it’s possible to sneak science in the door if add some token amount of new method engineering

      1 reply 2 retweets 58 likes
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    9. Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      (This last one is a bit less consistent than the others. I’ve seen a few science papers get high review scores without having to sell out... but they often get rejected from a few conferences before being lucky enough to get reviewers who get it)

      1 reply 3 retweets 60 likes
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      Ian Goodfellow‏ @goodfellow_ian 29 Jul 2018

      Some of the other troubling trends would probably happen without peer review, but I see reviewers basically asking to add mathiness, spurious explanations, and spurious novelty all the time

      9:29 AM - 29 Jul 2018
      • 24 Retweets
      • 190 Likes
      • Julian Togelius Suresh Kirthi Joy Chopra Matthew G Nithish Divakar Denny Britz Ryan D. Cotterell susanna #LatinxInTech ✊🏽 spong-fernandez Angela Zhou
      3 replies 24 retweets 190 likes
        1. 'Seun Ajao‏ @Seunclick01 29 Jul 2018
          Replying to @goodfellow_ian

          Math equations are meant to aid formal problem definitions but are sometimes abused with irrelevant proofs and corollaries ending up confusing their readers. Interestingly such papers may still go on to get high reviewer ratings due to such ‘meaningless mathiness’

          0 replies 0 retweets 1 like
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        1. Johan Johansson‏ @TheRealTroff 29 Jul 2018
          Replying to @goodfellow_ian @halvarflake

          I have to wonder if this is ML-specific. I’m more familiar with publishing in molecular biology. The things you object to still occur, but I’d say they’re mostly warranted. Having an explanation, aka “a theory”, gives something to disprove.

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        1. caymanlee‏ @caymanlee 29 Jul 2018
          Replying to @goodfellow_ian

          peer review kind of like self serving RL, that happened in history way too often

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