NeurIPS2020 - Singapore's Entries at the Top Machine Learning Conference This Year

tl;dr NeurIPS is the largest and argubably the most prestigious machine learning research conference internationally. We look at the 44 accepted publications from singapore-based authors in this 2020 edition of the conference, which is happening live this week (6 - 12 Dec 2020).

What is NeurIPS?

NeurIPS is the Conference and Workshop on Neural Information Processing Systems (abbreviated as NeurIPS and formerly NIPS). It is the largest conference in Artificial Intelligence with a specific focus on machine learning and neuroscience. Fueled by the resurgence of neural networks and advent of deep learning in 2012, it has grown to become one of (if not the most) prestigious international ML conference.

What was the acceptance rate like?

In the 2020 edition, the conference received 9,467 papers and accepted 1,900 papers, with about 20% acceptance rate across the topics.

The three most popular areas, in terms of submissions are: “Algorithms”, “Deep Learning” and “Applications”, although the latter two have seen a decline in the number of submissions. Acceptance rates for “Theory” and “Neuroscience” continue to be much higher than “Data, Challenges, Implementations, and Software”, which highlight the theoretical focus of the conference and the very high bar for application papers.

Which SG institute has put out more papers?

In the absence of a better metric to measure quality or impact, we look at the volume of accepted submissions per institute from the 44 accepted publications that we have identified as having an SG-based author.

NUS and NTU top the charts in terms of volume of publications at NeurIPS this year with SUTD and SMU following closely.

List of Singapore’s Entries

We count 44 accepted publications with an author with a SG-based affiliation and they are listed as follows:

There is no particular order of note. The list was ranked by early citations, which is as good as random for now. Data was obtained from the pretty awesome Microsoft Academic Graph.

More ML Papers

Visit machinelearning.sg to view a full list of ML publications from Singapore.