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Acceptance rates for the major ai conferences (note that the overall acceptance rate for the conference was 25.6%, but this overall rate also includes papers that were withdrawn or rejected for violations of the cfp prior to initial reviews being released—here we are looking only at papers still under review at this point.) When answering q1, authors were informed that the acceptance rate at neurips over the last 4 years had been about 21%
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The acceptance rate at neurips 2021 turned out to be 25.8%. Five usc papers were selected for spotlights, with an acceptance rate of 3%. Each status rate is computed as #status occurrence / #total, where the status can be accept, reject, etc
For example, if there are 100 total submissions and 27 were accepted, the accept rate = 27 / 100 = 27%.
Open accept provides paper acceptance rates at conference on neural information processing systems (neurips) So 199 disagreements and 99 agreed acceptances, which i believe gives an arbitrariness of 50% The acceptance rate in 2014 was 22%, vs about 26% this year. One cs&e paper, dense keypoints via multiview supervision, was selected for a spotlight at the conference (with an acceptance rate of less than 3%)
Overall, a total of 9,122 papers were submitted to neurips 2021, and only 2,344 were accepted to the conference (an acceptance rate of 26 percent). There were 206 papers accepted in the original set and 195 papers accepted in the duplicate set, for an average acceptance rate of 22.7% If acceptance decisions were made at random with a 0.227 chance of accepting each paper, we would expect the fraction of inconsistent outcomes to be 35.1%. Neurips is one the top conferences in machine learning and artificial intelligence research in the world, with an overall acceptance rate of 26%
Three usc papers were selected for oral presentations, with an acceptance rate of less than 1%
