Dec 6th - Dec 12th 2020

NeurIPS 2020

The purpose of the Neural Information Processing Systems annual meeting is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. The core focus is peer-reviewed novel research which is presented and discussed in the general session, along with invited talks by leaders in their field. On Sunday is an Expo, where our top industry sponsors give talks, panels, demos, and workshops on topics that are of academic interest. On Monday are tutorials, which cover a broad background on current lines of inquiry, affinity group meetings, and the opening talk and reception. The general sessions are held Tuesday - Thursday, and include talks, posters, and demonstrations. Friday - Saturday are the workshops, which are smaller meetings focused on current topics, and provide an informal, cutting edge venue for discussion.

Our Work

Visit the Virtual NeurIPS Booth

Starting Dec 6th - Dec 12th, attendees can visit the NeurIPS booth page to see product demos and chat with Facebook recruiters virtually.

Visit the NeurIPS Booth

Demo Videos

Dynabench

Watch the Video >

Lemotif: An Affective Visual Journal Using Deep Neural Networks

Watch the Video >

Our Work

Multimodal AI: Vision & Language

Watch the Video >

Humanoid Character Control in Physical Simulation

Watch the Video >

Highlighted Workshops

Building AI with Security and Privacy in mind

Joe Spisak, Geeta Chauhan, Laurens van der Maaten, Davide Testuggine, Andrew Trask and Woo Kim
December 6, 2020 5:00am PT

This tutorial will dive into some of the important areas that are shaping the future of how we interpret our models and build AI with security and privacy in mind. Click here to learn more about this workshop.

Self Supervised Learning

Participants include Yann LeCun, Jitendra Malik, and Abhinav Gupta
December 12, 2020 8:50am PT

Self-supervised learning (SSL) is an unsupervised approach for representation learning without relying on human-provided labels. Come join this Workshop as they aim to bridge the gap between theory and practice.

Competition Tracks

Hateful Memes

December 11, 2020 5:00pm PT

Please join us for the challenge’s award ceremony and to hear from the teams behind the winning solutions. Click Here to read the paper and learn more about the dataset and challenge.

FastMRI

December 12, 2020 10:00am PT

Come join us at the Medical Imaging Meets NeurIPS workshop to learn about the results of our challenge. We invite you to Learn More Here.

Highlighted Papers

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

#Wav2vec 2.0 can learn good speech recognition models with only 10 minutes of labeled speech data.

Pre-training via Paraphrasing

We introduce MARGE, a pre-trained sequence-to-sequence model learned with an unsupervised multi-lingual multi-document paraphrasing objective.

Retrieval-Augmented Transformers for Knowledge-Intensive NLP tasks.

RAG (Retrieval Augmented Generation) enables researchers and engineers to quickly develop and implement solutions to knowledge-intensive tasks with only 5 lines of code.

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

Thanks to everyone who participated in the Hateful Memes Challenge! The dataset contains 10K+ multimodal examples that researchers can use to support their work.

Combining vision and touch for 3D understanding

Touch is as important as sight and speech. By fusing sight and touch for 3D reconstruction we’re able to build AI systems that interact in and learn from the world around us.

Recursive Belief-based Learning (ReBeL)

ReBeL is a new general game-playing AI bot that excels at poker and more.

See All Papers

AI Residency

The AI Residency Program is a one-year research training position designed to give hands-on experience with artificial intelligence research while working in Facebook AI. View more details about the program and how to apply for the 2021-2022 Program Here.

Help Us Pioneer the Future of AI

Facebook is seeking Research Scientists, Software Engineers and Interns to join our teams. We are hiring for locations such as London, Menlo Park, Montreal, New York, Paris, Pittsburgh, Seattle, Tel Aviv, and Zurich.

Product experiences