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Each status rate is computed as #status occurrence / #total, where the status can be accept, reject, etc Justin eldridge, mikhail belkin, yusu wang. For example, if there are 100 total submissions and 27 were accepted, the accept rate = 27 / 100 = 27%.
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Advances in neural information processing systems (nips) has an average acceptance rate of 24.8% (last 5 years 21%). Graphons, mergeons, and so on Datasets and benchmarks in 2021, neurips introduced a new track, datasets and benchmarks
The first year of that track, 2021, has its own proceedings, accessible by the link below
From 2022 on, the datasets and benchmarks papers are in the main neurips proceedings Advances in neural information processing systems datasets and benchmarks, 2021 Open accept provides paper acceptance rates at conference on neural information processing systems (neurips) Without this freedom, it is impossible for scientific efforts to be geared toward gaining knowledge and facts
It is therefore extremely worrying that the scientific freedom is coming under increasing pressure in various regions of the world He, christopher de sa, ioannis mitliagkas, christopher ré: In this paper, we analyze several aspects of the data collected during the review process, including an experiment investigating the efficacy of collecting ordinal rankings from reviewers. This accepted papers list has been superseded
Click here for the new list
Kai zhang, lawrence berkeley lab Zoubin ghahramani, how deep is the feature analysis underlying rapid visual categorization? Following the leader and fast rates in linear prediction Curved constraint sets and other regularities agnostic estimation for misspecified phase retrieval models combining fully convolutional and recurrent neural networks for 3d biomedical image segmentation variational bayes on monte carlo steroids
How deep is the feature analysis underlying rapid visual categorization Sven eberhardt, jonah g cader, thomas serre Examples are not enough, learn to criticize Criticism for interpretability been kim, rajiv khanna, oluwasanmi o koyejo
