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AISTATS Stats

April 9, 2018

Hola! The venerable International Conference on Artificial Intelligence and Statistics (AISTATS) reconvenes today for its twenty-first edition. It has recently become common for there to be blog posts presenting the counts of papers at machine learning conferences broken down by institution.  I had not seen it for AISTATS 2018, so I went ahead and put the numbers together.

Institution Paper Count
MIT 13
UC Berkeley 12
Carnegie Mellon 11
Google 11
Stanford 11
IBM 9
Oxford 9
Princeton 9
INRIA 8
Texas 8
Duke 7
EPFL 7
Cornell 6
DeepMind 6
Harvard 6
Microsoft 6
Tokyo 6
ETH Zurich 5
Georgia Tech 5
Michigan 5
Purdue 5
RIKEN 5

Since The Great AI War of 2018 is apparently ongoing, here are the numbers for companies.

Institution Paper Count
Google 11
IBM 9
DeepMind 6
Microsoft 6
Adobe 3
Amazon 2
NTT 2
Baidu 1
Charles River Analytics 1
D. E. Shaw 1
Disney 1
Face++ 1
Facebook 1
Mind Foundry 1
NAVER LABS 1
NEC 1
Netflix 1
Prowler.io 1
SigOpt 1
Snap 1
Tencent 1
Vicarious 1
Volkswagen 1

In case one is tempted to add the Google and DeepMind numbers together, note that there is one paper in common, so the total is 16, not 17 for the two in combination.

Affiliation to institution is not an exact science, and is exacerbated by the official accepted papers list here not containing the affiliations of many authors (and in some cases not even being the final list of authors for papers), there being many ways to refer to the same institution, and there being ambiguity of what is a single institution and what is multiple (this is especially difficult for me among French institutions).  I have done my best to find preprints and look at personal websites to fill in and correct institutions given in the accepted papers list. Here is the raw data file that I put together.

4 comments

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