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
January 01, 2021
Asynchronous Gradient-Push | Facebook AI Research
We consider a multi-agent framework for distributed optimization where each agent has access to a local smooth strongly convex function, and the collective goal is to achieve consensus on the parameters that minimize the sum of the agents’…
Mahmoud Assran, Michael Rabbat
January 01, 2021
August 22, 2020
GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce
In this paper we propose image classification modeling technique targeted for marketplace. We use public posts from marketplace and search log interactions for training image classifier and achieve significant improvements in e-commerce in comparison to previous version of our image classifier.
Sean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Ed Pizzi, M. Henning, Karun Singh, Omkar Parkhi, Fedor Borisyuk
August 22, 2020
August 14, 2020
On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings | Facebook AI Research
We study Nesterov’s accelerated gradient method with constant step-size and momentum parameters in the stochastic approximation setting (unbiased gradients with bounded…
Mido Assran, Michael Rabbat
August 14, 2020
August 14, 2020
Graph Structure of Neural Networks | Facebook AI Research
Neural networks are often represented as graphs of connections between neurons. However, despite their wide use, there is currently little understanding of the relationship…
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
August 14, 2020
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