ICML accepted papers institution stats

Most mentioned institutions

  • I manually collapse e.g. “Google”, “Google Inc.”, “Google Brain”, “Google Research” into one category, or “Stanford” and “Stanford University”.
  • I only count up one unique mention of an institution on each paper, so if a paper has 20 people from a single institution this gets collapsed to a single mention. This way we get a better understanding of which institutions are involved on each paper in the conference.
#mentions institution
---------------------
44 Google
33 Microsoft
32 CMU
25 DeepMind
23 MIT
22 Berkeley
22 Stanford
16 Cambridge
16 Princeton
15 None
14 Georgia Tech
13 Oxford
11 UT Austin
10 Duke
10 Facebook
9 ETH Zurich
9 EPFL
8 Columbia
8 Harvard
8 Michigan
7 UCSD
7 IBM
7 New York
7 Peking
6 Cornell
6 Washington
6 Minnesota
5 Virginia
5 Weizmann Institute of Science
5 Microsoft / Princeton / IAS

Industry vs. Academia

about 20–25% of papers have an industry involvement.

6.3% of ICML papers have a Google/DeepMind author.

--

--

--

I like to train deep neural nets on large datasets.

Love podcasts or audiobooks? Learn on the go with our new app.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Andrej Karpathy

Andrej Karpathy

I like to train deep neural nets on large datasets.

More from Medium

Sequence-to-sequence models with attention mechanism from a to z

Adaptive Aggregation Networks: Don’t Forget What You Learned

Neural Architecture Search

Paper Review: Learning Cross-modal Embeddings for Cooking Recipes and Food Images