Alina Beygelzimer, Yann Dauphin, Percy Liang, and Jennifer Wortman Vaughan
NeurIPS 2021 Program Chairs

The review process for NeurIPS 2021 starts soon! NeurIPS has a long history of experimentation, and this year we are making several changes that we hope will inform and improve the review process going forward. In this blog post, we lay out these changes and the rationale behind them.

First and foremost, we are excited to announce that NeurIPS is shifting the entire reviewing workflow to OpenReview! OpenReview is a flexible platform that allows heavy customization and will be easy to adapt as the needs of…

Joaquin Vanschoren and Serena Yeung

There are no good models without good data (Sambasivan et al. 2021). The vast majority of the NeurIPS community focuses on algorithm design, but often can’t easily find good datasets to evaluate their algorithms in a way that is maximally useful for the community and/or practitioners. Hence, many researchers resort to data that are conveniently available, but not representative of real applications. For instance, many algorithms are only evaluated on toy problems, or data that is plagued with bias, which could lead to biased models or misleading results, and subsequent public criticism of the field…

Alina Beygelzimer, Yann Dauphin, Percy Liang, and Jennifer Wortman Vaughan
NeurIPS 2021 Program Chairs

Welcome! This is the first in a series of blog posts that will take you behind the scenes to explore the organization, review process, and program for NeurIPS 2021.

As Program Chairs, we have spent the past few months immersing ourselves in conference planning. We’ve begun recruiting a program committee (please say yes if we reach out to you!), finalizing the details of the call for papers and review process (more on that in our next blog post…), planning a stellar line-up of invited speakers, and…

Douwe Kiela, Barbara Caputo, Marco Ciccone

This year will mark the fifth year of NeurIPS having a dedicated competitions track!

The competition and demo chairs for 2021 are Douwe Kiela, Research Scientist at Facebook AI Research (FAIR), and Barbara Caputo, Full Professor at Politecnico di Torino, where she leads the Visual and Multimodal Applied Learning (VANDAL) group, with the help of Marco Ciccone, Ph.D. candidate at Politecnico di Milano.

Douwe brings his experience as co-organizer of last year’s Hateful Memes Challenge, an ambitious project that had 100,000 USD in prize money and the aim of improving multimodal reasoning and understanding…

Y-Lan Boureau, Facebook AI Research
Hendrik Strobelt, MIT-IBM Watson AI Lab at IBM Research

NeurIPS 2020 Online Experience Chairs

NeurIPS 2020 was held online in December 2020. Attendees had reported mixed experiences with poster sessions from previous online conferences, and found mentor-mentee matching very valuable. We aimed to craft a smoother experience by re-designing poster sessions and making mentorship connections easier through a new matching platform. …

The NeurIPS Foundation believes in the principles of ethics, fairness, and inclusivity, and is dedicated to providing a safe space where research can be shared, reviewed, and debated by the AI / ML community.

Having observed recent discussions taking place across social media, we feel the need to reiterate that, as a community, we must be mindful of the impact that statements and actions have on our peers, and future generations of AI / ML students and researchers.

It is incumbent upon NeurIPS and the AI / ML community as a whole to foster a collaborative, welcoming environment for all…

Hsuan-Tien Lin, Maria Florina Balcan, Raia Hadsell and Marc’Aurelio Ranzato

NeurIPS 2020 Program Chairs

In this blog post, we are excited to announce the various awards that are presented at NeurIPS 2020 and to share information about the selection processes for these awards.

NeurIPS 2020 Best Paper Awards

The winners of the NeurIPS 2020 Best Paper Awards are:

  • No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium by Andrea Celli (Politecnico di Milano), Alberto Marchesi (Politecnico di Milano), Gabriele Farina (Carnegie Mellon University), and Nicola Gatti (Politecnico di Milano). This paper will be presented on Tuesday, December 8th at 6:00 AM PST in the Learning Theory track.

Katherine Gorman, Collective Next

Michael Littman, Brown University

The conference is here and we’re very excited to bring you a fantastic experience! For the past couple of years the conference has started to think more actively about how it can communicate both with the public and with the attendee community, we wanted to bring you a quick peek into how those efforts have evolved.

One of our major efforts this year has been this very blog! …

Hsuan-Tien Lin, Maria Florina Balcan, Raia Hadsell and Marc’Aurelio Ranzato

NeurIPS 2020 Program Chairs

With Y-Lan Boureau and Hendrik Strobelt, NeurIPS 2020 Online Experience Chairs

And Hugo Larochelle, General Chair

We are now just a few weeks away from the start of the conference and we are very excited to announce the schedule and how NeurIPS 2020 will unfold. Back in June, we made the difficult decision that NeurIPS would be a virtual event. We invited two Online Experience Chairs to join the organising committee, and began to plan for a virtual rather than a physical meeting.

There are several…

Pablo Samuel Castro (@pcastr) — Google Research

Neil Lawrence (@lawrennd) — Cambridge University

Yale Song (@yalesong) — Microsoft Research

EXPO Chairs NeurIPS 2020

The NeurIPS EXPO will be held on Sun, Dec 6, 2020, the day before the NeurIPS 2020 main conference tutorials. This is the third year of the Expo, which aims to showcase the industrial application of the research topics discussed during the main conference.

The tenets of the EXPO are:

  • Present what is taking place in the field of AI/ML research and applications generally.
  • Help the practitioner community gain a wider perspective on the context in which…

Neural Information Processing Systems Conference

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