No Language
Left Behind
With No Language Left Behind (NLLB), our researchers are opening up access to web content and providing everyone with the opportunity to share information online in their preferred or native language, across the metaverse and beyond.
No Language Left Behind
With No Language Left Behind (NLLB), our researchers are opening up access to web content and providing everyone with the opportunity to share information online in their preferred or native language, across the metaverse and beyond.
Latest News
Open-Source AI Tools
We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
Open-Source AI Research
We're advancing the state-of-the-art in artificial intelligence through fundamental and applied research in open collaboration with the community.
Notable Papers
RESEARCH
ML APPLICATIONS
GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce
Sean Bell
Yiqun Liu
Sami Alsheikh
Yina Tang...
KDD
COMPUTER VISION
Live Face De-Identification in Video
Oran Gafni
Lior Wolf
Yaniv Taigman
International Conference on Computer Vision (ICCV)
RESEARCH
Single-Network Whole-Body Pose Estimation
Gines Hidalgo
Yaadhav Raaj
Haroon Idrees
Donglai Xiang...
International Conference on Computer Vision (ICCV)
SPEECH & AUDIO
A Universal Music Translation Network
Noam Mor
Lior Wolf
Adam Polyak
Yaniv Taigman
International Conference on Learning Representations (ICLR)
Latest Publications
July 17, 2022
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Michael Auli, Alexei Baevski, Arun Babu, Jiatao Gu, Wei-Ning Hsu, Qiantong Xu
July 17, 2022
July 16, 2022
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots
Stuart Anderson, Aravind Rajeswaran, Vikash Kumar, Yixin Lin, Jean Oh, Tanmay Shankar
July 16, 2022
July 05, 2022
No Language Left Behind: Scaling Human-Centered Machine Translation
Marta Costa-jussa, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Kae Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alex Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang (PM - AI)
July 05, 2022
June 28, 2022
Deep Symbolic Regression for Recurrent Sequences
François Charton, Guillaume Lample, Pierre-Alexandre Kamienny, Stéphane D'Ascoli
June 28, 2022
Help Us Pioneer the Future of AI
We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.
