Research Area
Year Published

883 Results

February 24, 2018

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective

International Symposium on High-Performance Computer Architecture (HPCA)

Facebook’s machine learning workloads are extremely diverse: services require many different types of models in practice. This paper describes the hardware and software infrastructure that supports machine learning at global scale.

By: Kim Hazelwood, Sarah Bird, David Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang

November 1, 2017

Measuring and Mitigating OAuth Access Token Abuse by Collusion Networks

ACM Internet Measurement Conference (IMC)

We uncover a thriving ecosystem of large-scale reputation manipulation services on Facebook that leverage the principle of collusion.

By: Shehroze Farooqi, Fareed Zafar, Nektarios Leontiadis, Zubair Shafq

November 27, 2018

Neural Separation of Observed and Unobserved Distributions

In this work, we tackle the scenario of extracting an unobserved distribution additively mixed with a signal from an observed (arbitrary) distribution. We introduce a new method: Neural Egg Separation – an iterative method that learns to separate the known distribution from progressively finer estimates of the unknown distribution.

By: Tavi Halperin, Ariel Ephrat, Yedid Hoshen