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.

Learn More

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.

Learn More

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.