Jason Weston

Jason is a Research Scientist at Facebook, NY and a Visiting Research Professor at NYU. He earned his Ph.D. in machine learning at Royal Holloway, University of London and at AT&T Research in Red Bank, NJ. Previously, he was a researcher at Biowulf Technologies, a research scientist at the Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, a research staff member at NEC Labs America, Princeton, and a research scientist at Google, NY. His interests lie in statistical machine learning, with a focus on reasoning, memory, perception, interaction, and communication. Jason has published over 100 papers, including Best Paper awards at ICML and ECML, and received a Test of Time Award for his work, "A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning," (with Ronan Collobert). He was part of the YouTube team that won a National Academy of Television Arts & Sciences Emmy Award for Technology and Engineering for Personalized Recommendation Engines for Video Discovery. Jason was also listed as the 16th most influential machine learning scholar at AMiner and one of the top 50 authors in Computer Science in Science.

Jason's Publications

April 07, 2020

RESEARCH

NLP

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue

Traditional recommendation systems produce static rather than interactive recommendations invariant to a user’s specific requests, clarifications, or current mood, and can suffer from the cold-start problem if their tastes are unknown. These…

Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul A. Crook, Y-Lan Boureau, Jason Weston,

April 07, 2020

April 07, 2020

RESEARCH

NLP

Finding Generalizable Evidence by Learning to Convince Q&A Models

We propose a system that finds the strongest supporting evidence for a given answer to a question, using passage-based question-answering (QA) as a testbed. We train evidence agents to select the passage sentences that most convince a…

Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, Kyunghyun Cho,

April 07, 2020

April 07, 2020

RESEARCH

NLP

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

The detection of offensive language in the context of a dialogue has become an increasingly important application of natural language processing. The detection of trolls in public forums (Galan-García et al., 2016), and the deployment of…

Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston,

April 07, 2020