People and Cookies in Online Experiments
by Dominic Coey, Michael Baileyלפני כ-‏2‏ שבועות
Core Data Science
Blog
Running audience-level tests is ideal, but is often tricky to achieve.
Facebook Researchers Focus on the Most Challenging Machine Learning Questions at ICML 2016
by Jason Weston, Leon Bottou, Joaquin Quinonero Candela, Hussein Mehanna, Pierre Andrews, Aditya Kalro, Alexander Sidorov, Ronan Collobert, Armand Joulin, Laurens van der Maaten, David Grangier, Tomas Mikolov, Antoine Bordes, Rob Fergus, Lars Backstrom, Ross Girshickלפני כ-‏2‏ שבועות
Facebook AI Research (FAIR)
Blog
Facebook researchers are actively engaged at the International Conference on Machine Learning (ICML) 2016 being held in New York City this week. Widely known as the leading Machine Learning...
Facebook Fellows Workshop 2016
by Rebekkah Hogan, Katherine Nicholsonלפני כ-‏2‏ שבועות
Blog
The 2016 Facebook Fellowship Program research workshop was held last week at Facebook's headquarters in Menlo Park, CA.
How blind people interact with visual content on social networking sites
by Shaomei Wuלפני כ-‏3‏ חודשים
Core Data Science
Blog
We conducted a study with Cornell University to better understand the blind community's experience with visual content. This study highlighted the challenges blind people face and the strategies they...
Latest Blog Posts
People and Cookies in Online Experiments
by Dominic Coey, Michael BaileyJun 21, 2016
Facebook Researchers Focus on the Most Challenging Machine Learning Questions at ICML 2016
by Jason Weston, Leon Bottou, Joaquin Quinonero Candela, Hussein Mehanna, Pierre Andrews, Aditya Kalro, Alexander Sidorov, Ronan Collobert, Armand Joulin, Laurens van der Maaten, David Grangier, Tomas Mikolov, Antoine Bordes, Rob Fergus, Lars Backstrom, Ross GirshickJun 19, 2016
Facebook Fellows Workshop 2016
by Rebekkah Hogan, Katherine NicholsonJun 17, 2016
Latest Publications
Towards Optimal Cardinality Estimation of Unions and Intersections with Sketches
Daniel Ting
ACM Conference on Knowledge Discovery and Data Mining (KDD 2016)
Aug 12, 2016
This paper presents and analyzes two new classes of methods for estimating cardinalities of intersections and unions from sketches
Neural Network-based Word Alignment through Score Aggregation
Michael Auli, Ronan Collobert, Joel Legrand
Association for Computational Linguistics Conference on Machine Translation (WMT16)
Aug 10, 2016
We present a simple neural network for word alignment that builds source and target word window representations to compute alignment scores for...

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