Machine Learning

Applying machine learning science to Facebook products

Connecting people with the content and stories they care about most.

Machine learning and Applied Machine Learning is essential to Facebook. It helps people discover new content and connect with the stories they care the most about. Our machine learning and applied machine learning researchers and engineers develop machine learning algorithms that rank feeds, ads and search results, and create new text understanding algorithms that keep spam and misleading content at bay. New computer vision algorithms can “read” images and videos to the blind and display over 2 billion translated stories every day, speech recognition systems automatically caption the videos that play in your news feed, and we create new magical visual experiences such as turning panorama photos into fully interactive 360 photos.

“We seek to advance the state of the art in machine learning for maximum impact, and our efforts form the glue between science and research and Facebook experiences.” Joaquin Quinonero Candela, Director of Applied Machine Learning

Latest Publications

All Publications

CVPR - June 19, 2021

Pixel Codec Avatars

Shugao Ma, Tomas Simon, Jason Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh

CVPR - June 11, 2021

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

Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic

ICASSP - June 6, 2021

Multi-Channel Speech Enhancement Using Graph Neural Networks

Panagiotis Tzirakis, Anurag Kumar, Jacob Donley

Rethinking ML Papers Workshop at ICLR - May 7, 2021

Convolution Can Incur Foveation Effects

Jun Yuan, Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Orion Rebliz-Richardson

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