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Post #308

@graphml

Graph Machine Learning

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Publié14 oct.14/10/2020 09:00
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How random are peer reviews? A new paper came out about the quality of the reviews at peer-review conferences that analyzed submissions at ICLR's OpenReview for the last 4 years. Here is what I found the most interesting. * If an accepted paper were reviewed anew, would it be accepted a second time? This is called reproducibility of reviews. In 2020, it's 66% which means 1 out of 3 times you'd get a reject even if your paper deserves acceptance. More to it, even if you increase the number of reviewers reproducibility will be around the same ~70%. * Do final paper score correlates with how many citations it gets? Yes, higher ranked papers get more citations. What's more interesting is how many more citations a paper gets just due to an exposure at the conference: the correlation doubles just because of the exposure at the venue. * Is there a bias of affiliation, author reputation, or ArXiv in reviewers' scores? Yes, but very small. For example, papers at Cornell get 0.58 boost of the score (out of 10). For Google and DeepMind there is no correlation between their score and acceptance rate compared to other papers. Same can be said about ArXiv availability of a paper or h-index of the authors.