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If rating scores are publicly available, the statistics are based on submissions that opted in for release However, upon researching these ai and machine learning conferences, i was surprised to discover their low acceptance rates, which can be as low as 20%! If scores are collected from the community via the google form, the statistics reflect only those samples.
Submissions that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences are not appropriate for nips and violate our dual submission policy. Annual meeting of the association for computational linguistics. Acceptance rates for the major ai conferences
Open accept provides paper acceptance rates at conference on neural information processing systems (neurips)
This information will remain anonymous and solely used to identify the most recent score when multiple submissions are made for the same paper and to determine the decision bar chart when the final review has not been fully released. Open accept tracks and shares paper acceptance rates at global top computer science conferences, such as aaai, ijcai, neurips, iclr, acl, cvpr, iccv, emnlp, icml, kdd. I've seen a lot of comments over the last couple days asking about neurips chances Created and maintained by xovee xu from uestc
Fun visualizations 📊 for cs conferences Discover insights that you may not know
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