Research

Meta set a goal to reach net zero emissions by 2030. We are developing technology to mitigate our carbon footprint and making these openly available.

In this blog, we’ll introduce the EgoObjects pilot version, consisting of 9,273 videos (30+ hours) for 368 categories of objects, with a total of 654K annotations.

Meta AI is sharing new research to reduce the latency of existing Vision Transformer (ViT) models without the need for additional training. Our approach, called Token Merging...

The ever-increasing adoption of privacy-enhancing technologies (PETs) provides new layers of privacy in areas such as secure data analytics and machine learning. The first step...

What the research is: Many businesses, including Facebook, send SMS messages to their users for phone number verification, two-factor authentication,...

What the research is: We look at the problem of allocating the budget of an advertiser across multiple surfaces optimally...

This project is joint work with Yuan Yuan, PhD candidate at MIT, and the Facebook Core Data Science team. Learn...

What the research is: q-Expected Hypervolume Improvement (qEHVI) is a new sample-efficient method for optimizing multiple competing expensive-to-evaluate black-box functions....

Kevin Liou is a Research Scientist within Core Data Science, a research and development team focused on improving Facebook’s processes,...

What we did The research in our paper “Robust market equilibria with uncertain preferences,” published at AAAI 2020, is motivated...