ICLR Stats

Hello bonjour! The venerable International Conference on Learning Representations (ICLR) reconvenes Monday for its sixth edition. The Great AI War of 2018 heads a little west. 

Following my previous posts on AISTATS paper counts broken down by institution and ICASSP paper counts broken down by company, below are the numbers for accepted ICLR main conference papers among the top companies.  Like in my ICASSP stats, Google and DeepMind are not treated separately.

Company	Paper Count
Google	68
Microsoft	19
Facebook	14
IBM	8
Salesforce	6
Baidu	4
NVIDIA	4
Intel	3

My methodology this time relied on the data compiled by pajoarthur including his logic for converting email addresses to institutions.  However, I aggregated the numbers differently.  He considered ‘Invite to Workshop Track’ status papers in his counts, whereas I did not.  He evaluated the contribution of an author by dividing by the total number of authors of a paper, and then summing up these partial contributions by company; like I did for AISTATS and ICASSP, I counted a paper for a company if it had at least one author from that company.

ICASSP Stats

Annyeong! The venerable IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) reconvenes today for its forty-third edition. The Great AI War of 2018 rolls on. 

If you ask how signal processing has become AI, read my recent essay on the topic.

Following my previous post on AISTATS paper counts broken down by institution, I present the numbers for ICASSP below, but only for companies.  This time around, Google and DeepMind are not treated separately.

Company	Paper Count
Google	38
NTT	26
Microsoft	25
IBM	16
Huawei	11
Amazon	9
Mitsubishi	9
Samsung	7
Facebook	6
Tencent	6
Alibaba	5
Apple	5
Ericsson	4
Robert Bosch	4
Starkey Hearing Technologies	4
Tata Consultancy Services	4
SRI International	3
Technicolor	3
Toshiba	3
Adobe	2
Analog Devices	2
GE	2
GN	2
Haliburton	2
Hitachi	2
Intel	2
NEC	2
Orange Labs	2
Origin Wireless	2
Qualcomm	2
Raytheon	2
Sony	2
Spotify	2
Thales	2
Toyota	2

I used the official paper index and did not dig deeper into the papers in any way.

AISTATS Stats

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.