NeurIPS 2019

Facebook at NeurIPS 2019

Neural Information Processing Systems (NeurIPS) is the largest conference in AI, with machine learning and neuroscience experts traveling from around the world to discuss the latest advances in the field. For 2019, NeurIPS is taking place in Vancouver, British Columbia from Sunday, December 8 to Saturday, December 14, and is projected to attract over 15,000 attendees.

Among the attendees are Facebook researchers and engineers in AI, core data science, networking and infrastructure, augmented and virtual reality, and more. Many will be presenting their research in poster sessions, spotlight talks, workshops, and tutorials at the conference.  For a day-by-day schedule of the Facebook research being presented at NeurIPS, click here. For a full list of Facebook papers, workshops, tutorials, and other activities at NeurIPS, visit our blog.

Demos and scheduled booth events

Starting Sunday morning, attendees can visit booth 509 until Wednesday evening to chat with Facebook engineers, researchers, program managers, and recruiters about what it’s like to work at Facebook.

  • Sunday: Workshop Expo
    • Image classification using PyTorch demo
  • Monday: PyTorch
    • Image classification using PyTorch demo
    • Guided PyTorch tutorials
  • Tuesday: Facebook AI
    • Real time monocular RGB hand tracking demo
    • Superhuman AI for multiplayer poker (Pluribus) demo
    • AI Residency Program Q&A with current Facebook AI Residents and Mentors (12:45 pm to 2:45 pm)
  • Wednesday: DeepFake Detection Challenge
    • DeepFake Detection Challenge interactive demo

To see some of the people attending NeurIPS 2019, browse the Meet Our Team section below.

Facebook Publications At NeurIPS 2019

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PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments

David Novotny, Benjamin Graham, Jeremy Reizenstein

December 13, 2019

Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias

Stéphane d'Ascoli, Levent Sagun, Joan Bruna, Giulio Biroli

December 2, 2019

Hyper-Graph-Network Decoders for Block Codes

Eliya Nachmani, Lior Wolf

December 5, 2019

One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers

Ari Morcos, Haonan Yu, Michela Paganini, Yuandong Tian

December 4, 2019

Limiting Extrapolation in Linear Approximate Value Iteration

Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill

December 5, 2019