Bringing the world closer together by advancing AI

DensePose

Bringing the world closer together by advancing AI

GrokNet

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

GrokNet

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

June 11, 2021

COMPUTER VISION

Lips Don’t Lie: A Generalisable and Robust Approach to Face Forgery Detection

Although current deep learning-based face forgery detectors achieve impressive performance in constrained scenarios …

Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic

June 11, 2021

May 29, 2021

NLP

Autoregressive Entity Retrieval

Entities are at the center of how we represent and aggregate knowledge. For instance, Encyclopedias such as Wikipedia are structured by entities …

Nicola De Cao, , Gautier Izacard, Sebastian Riedel, Fabio Petroni

May 29, 2021

May 07, 2021

CORE MACHINE LEARNING

THEORY

Tilted Empirical Risk Minimization

Empirical risk minimization (ERM) is typically designed to perform well on the average loss, which can result in estimators that are sensitive to outliers …

Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith

May 07, 2021

May 07, 2021

SYSTEMS RESEARCH

Ditto: Fair and robust federated learning through personalization

Fairness and robustness are two important concerns for federated learning systems. …

Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith

May 07, 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.