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[N] ICML 2019 Accepted Paper Stats

[N] ICML 2019 Accepted Paper Stats

I recently compiled some stats and figures regarding the accepted papers at this years International Conference on Machine Learning (ICML). All data is taken from

Here you go:

Top contributing institutes @ ICML 2019 according to the number of papers with at least one author affiliated with this institute. Ordered according to the total number of papers (followed by number of first and last author papers).

Here are some figures about top contributing authors.

Top contributing authors @ ICML 2019 according to the total number of papers

Top contributing authors @ ICML 2019 according to their number of first author papers.

Top contributing authors @ ICML 2019 according to their number of last author papers.

Finally, some stats for top contributing institutes sorted by their relative contribution (i.e. how many authors on a paper a actually from this institute).

I compiled these stats for my employer, the Robert Bosch GmbH. If you’re interested in Bosch and what we’re doing in AI and ML, check out


Cleaning the website data, in particular the affiliations is a tedious, manual process, since many different and not necessarily unambiguous notations and abbreviations exist for many institutes. I tried my best to merge affiliation names into distinct institute buckets. However, there might be errors in the data, leading to single papers not being counted for a specific institute. Same applies for author names, which are NOT manually merged due to the large number of authors. Only identical author names have been associated across different publications.

submitted by /u/AndreasDoerr
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.