ΑΙhub.org
 

NeurIPS continues to grow in size and diversity initiatives


by
22 December 2019



share this:

It’s not common that an artificial intelligence conference sells out as fast as a music festival, but as the Neural Information Processing Systems (NeurIPS) conference found out last year, it’s certainly possible.

Running for its thirty-third year, the conference introduced several new ideas to help with its exploding growth, increasing calls for diversity and inclusiveness, and the general rising interest in artificial intelligence.

In an effort to make ticketing a smoother process for attendees around the world, NeurIPS introduced a lottery ticket system. Over 13,000 people were granted tickets, and although there was still a lengthy waitlist, conference organizers deemed the process a success and anticipate using it again next year.

With conference space limited and visa issues persisting, NeurIPS also introduced meetups around the world and recorded and livestreamed each talk. The meetups were held in 35 countries on six continents with Africa leading the way with 28 meetups.

NeurIPS boasted a record-setting year not only in terms of attendance, but in submissions as well. The conference received 6,614 submissions, which is about 1,800 more than in 2018. Ultimately, only 1,400 papers were accepted, an acceptance rate of 15.5 percent.

NeurIPS organizers have a few theories about why this conference has had such substantial growth over the past decade.

“I remember being in graduate school and all of the professors I looked up to were all gone during the same week in December and thinking to myself, ‘Where are they?’ because that is where I wanted to be. I think that that feeling continues,” said NeurIPS general chair Hanna Wallach.

Program chair Hugo Larochelle credits the diverse research interests that are represented at NeurIPS. This year, the conference organized papers into four tracks in an effort to help attendees better sort through them based on their respective research interests.

President of the NeurIPS board Terry Sejnowski added, “There are many people like myself, Charles Isbell (Dean of Georgia Tech’s College of Computing) and Michael Littman (professor Brown University and NeurIPS communications co-chair), where NeurIPS was the first conference that they came to when they were first starting out. I think that that is true for a lot of people and NeurIPS has continued to be a place to connect with new and old friends and learn about high quality work from around the world.”

Creating a More Inclusive Conference

Even though the conference has grown exponentially in size, conference organizers made special efforts to help each attendee feel included and comfortable. The sponsor exhibitor hall was noticeably smaller, and even powerhouses like Facebook, Google, and IBM had reduced booth sizes.

“The board has been very concerned over the past couple of years about the influence that sponsors are having. We’re an academic conference and we want to preserve that…we want the younger students to be the focus. We’ve added many socials – not to replace corporate parties because those will continue – but to make it more democratic so now every student has the opportunity to go somewhere and talk with people with similar interests,” said Sejnowski.

Organizers also provided a mother’s room, meditation and prayer room, gender-neutral bathrooms, a wider selection of food choices at catered events, and sign language-interpreter services. Pronoun stickers and preferred pronouns printed on name badges were also provided for the first time.

Seven affinity groups were a part of NeurIPS this year as well, including Women in Machine Learning (WiML), Black in AI, LatinX in AI, Queer in AI, {Dis}Ability in AI, Jews in ML, and Muslims in ML – four of which hosted workshops. The affinity groups hosted a joint poster session on Monday night to showcase the research being done by members of the groups.

Opening keynote speaker, Celeste Kidd, a cognitive psychologist and professor at the University of California, Berkeley, took a moment during her speech to discuss the #MeToo movement in the academic and technology sphere and was greeted by a standing ovation – an act that is not common at academic conferences.

“Ultimately we want this conference to be a role model for others, to help create an inclusive community for AI research and discussion around the world,” said Katherine Heller, NeurIPS diversity and inclusion chair.

And the Winner Is…

While NeurIPS introduced several new concepts in 2019, organizers stuck with tradition for paper awards.

The Outstanding Paper Award was awarded toIlias Diakonikolas, Themis Gouleakis, and Christos Tzamos for their work on “Distribution-Independent PAC Learning of Halfspaces with Massart Noise.

Uniform Convergence May be Unable to Explain Generalization in Deep Learning” authors Vaishnavh Nagarajan and J. Zico Kolter took home the award for Outstanding New Directions Paper Award.

Ten years after its original submission, “Dual Averaging Method for Regularlized Stochastic Learning and Online Optimization” by Lin Xiao was awarded the 2019 Test of Time Award.

NeurIPS was held Dec. 8-14 in Vancouver, British Columbia, where it will return in 2020 before moving to Sydney, Australia in 2021.



tags:


Allie McFadden is the communications officer for the Machine Learning Center at Georgia Tech and the Constellations Center for Equity in Computing at Georgia Tech.
Allie McFadden is the communications officer for the Machine Learning Center at Georgia Tech and the Constellations Center for Equity in Computing at Georgia Tech.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Machine learning framework to predict global imperilment status of freshwater fish

  20 Mar 2026
“With our model, decision makers can deploy resources in advance before a species becomes imperiled.”

Interview with AAAI Fellow Yan Liu: machine learning for time series

  19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.

A principled approach for data bias mitigation

  18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.

An AI image generator for non-English speakers

  17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."

AI and Theory of Mind: an interview with Nitay Alon

  16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence