Bringing the world closer together by advancing AI

DensePose

Bringing the world closer together by advancing AI

AI for Commerce

Bringing the world closer together by advancing AI

Deepfake Detection

Bringing the world closer together by advancing AI

DensePose

Bringing the world closer together by advancing AI

AI for Commerce

Bringing the world closer together by advancing AI

Deepfake Detection

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

November 16, 2021

NLP

Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN

Rahma Chaabouni, Roberto Dessì, Evgeny Kharitonov

November 16, 2021

November 16, 2021

COMPUTER VISION

How Meta is working to assess fairness in relation to race in the U.S. across its products and systems

Rachad Alao, Miranda Bogen, Jingang Miao Ilya Mironov, Jonathan Tannen

November 16, 2021

November 12, 2021

THEORY

REINFORCEMENT LEARNING

Bandits with Knapsacks beyond the Worst-Case Analysis

Karthik Abinav Sankararaman, Aleksandrs Slivkins

November 12, 2021

November 08, 2021

COMPUTER VISION

CORE MACHINE LEARNING

Grounding inductive biases in natural images: invariance stems from variations in data

Diane Bouchacourt, Mark Ibrahim, Ari Morcos

November 08, 2021

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.