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Plot of the accept rate vs the accept precision for the conference for 50% subjectivity and different numbers of reviewers The other half are accepted based on an unbiased coin flip. The grey line gives the neurips accept rate for 2014 of 23%.
The aimed at acceptance rate per pc was 23% Half the submissions are found to be poor and reliably rejected The result of the experiment was that among these 166 papers, the set of accepted papers from the two pcs overlapped by only 43%.
The grey line gives the neurips accept rate for 2014 of 23%
In figure we see the change in accept precision as we vary accept rate and number of reviewers for a conference where. In this paper we revisit the 2014 neurips experiment that examined inconsistency in conference peer review We determine that 50% of the variation in reviewer quality scores was subjective in origin. List of some acceptance rates of theoretical computer science (tcs) conferences (and some of computational biology).
Of the 1,678 papers submitted to neurips 2014, only 414 were presented at the final conference Here we trace the fate of the rejected papers, we searched semantic scholar for evidence of all 1,264 rejected papers. From the plot, we can see that whilst the accept rate was slightly higher for duplicated papers it still falls well within the probability mass of the binomial distribution implied by a 0.23 accept rate. First, let’s explore the fact that for the overall conference the accept rate was around 23%, but for the duplication committees the accept rate was around 25%.
One rough model for paper acceptance, consistent with the experiment, is as follows
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