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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    Prof. Anima Anandkumar‏ @AnimaAnandkumar 5 Nov 2019
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    Prof. Anima Anandkumar Retweeted Xavier Giró 🎗

    We should hold reviewers accountable. If we allow authors to rate, reviewers who give high scores will be rated higher, rather than ones that are objective. May be limit rating to only AC and other reviewers? As AC, I have tried to call out unethical reviewers, but not easy.https://twitter.com/DocXavi/status/1191793574909763584 …

    Prof. Anima Anandkumar added,

    Xavier Giró 🎗 @DocXavi
    Replying to @AnimaAnandkumar
    Sorry to hear that. One way to address it is to also grade reviewers (by authors, other reviewers and area chairs), and show publicly this quality scores. This would totally boost the motivation of reviewers, and provide tools for area chairs to put reviews in context.
    11:07 AM - 5 Nov 2019
    • 1 Retweet
    • 44 Likes
    • Shangchen Zhou Negar Rostamzadeh n⛣el kuriakos Bhagirath Kumar Lader Thomas Niebler Sarah Wiegreffe Emma Zé Vinícius Milad Sadeghi DM
    9 replies 1 retweet 44 likes
      1. vakibs‏ @vakibs 5 Nov 2019
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        Replying to @AnimaAnandkumar

        Reviews should be published as supplementary documents to a paper. They should be considered as a minor publication under the reviewer’s name.

        0 replies 1 retweet 6 likes
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      1. Teeth of Giuliani‏ @TeethofGiuliani 5 Nov 2019
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        Replying to @AnimaAnandkumar

        May be I am naive but why even rely on peer reviewers? Just start a blog and put your work out there. I am not an academic but know a few that are. Seems like journals exists for the sole purpose of helping someone check a box to get tenure.

        0 replies 0 retweets 0 likes
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      2. Xavier Giró 🎗‏ @DocXavi 5 Nov 2019
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        Replying to @AnimaAnandkumar

        Yep, limiting to AC may be the safest option, extending it to other reviewers does not seem too dangerous to me either. Also allowing reviewers to publish or not their scores should be possible, otherwise it would be even harder to find reviewers.

        1 reply 0 retweets 2 likes
      3. no love deep learning  🛋️ #NeurIPS2020  🛋️‏ @tetraduzione 5 Nov 2019
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        Replying to @DocXavi @AnimaAnandkumar

        in that case though we should avoid COIs between an AC and her/his reviewers at any levels, loopholes in a quality checking system are catastrophic

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Aleix M. Martinez‏ @AleixMMartinez 5 Nov 2019
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        Replying to @AnimaAnandkumar

        The problem is volume. With that many papers submitted, it becomes a stochastic process. One solution is for authors submit less but better papers. I know this is not gonna happen. I like to dream tough.

        0 replies 0 retweets 2 likes
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      2. Frank Noe‏ @FrankNoeBerlin 5 Nov 2019
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        Replying to @AnimaAnandkumar

        Adding more ratings is not the solution. We have way too many ratings everywhere these days. I personally find double-blind more fair than single-blind. Some journals experiment with all names open, but my fear is that will lead to junior never criticizing senior because afraid.

        1 reply 0 retweets 2 likes
      3. Finn Årup Nielsen‏ @fnielsen 5 Nov 2019
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        Replying to @FrankNoeBerlin @AnimaAnandkumar

        What about pseudonymous reviews? The pseudonym can gain reputation - perhaps even across years and conferences. Pseudonymity is widely used among Wikipedia editors.

        0 replies 0 retweets 1 like
      4. End of conversation
      1. Frank Noe‏ @FrankNoeBerlin 5 Nov 2019
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        Replying to @AnimaAnandkumar

        The underlying problem is strong limitation of accepted papers (are only 20% of submissions good enough?). No matter if you give ratings between 1 and 10 or have an Uber system with 5 or no 5, it is going to be unfair and random in many cases because of competition.

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      1. Frank Noe‏ @FrankNoeBerlin 5 Nov 2019
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        Replying to @AnimaAnandkumar

        #AI is big and important enough and still has enough growth potential in industry and society that we can let each other live. More diversification in topics, not everyone shooting for the same conference, and some journals that make sense could help.

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      1. R-Man‏ @RManIrani 5 Nov 2019
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        Replying to @AnimaAnandkumar

        A different approach would be for the reviewers to rate each other. I usually read other reviewers' review once the decision is out to see if I have missed anything and/or if they agree with me. There is no (or minimal) conflict of interest as well.

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