Antoine Bordes

Antoine is a Managing Director at Facebook Artificial Intelligence Research. Prior to joining Facebook in 2014, Antoine was a CNRS staff researcher in the Heudiasyc laboratory of the University of Technology of Compiegne in France. In 2010, he was a postdoctoral fellow in Yoshua Bengio’s lab at University of Montreal. Antoine received his PhD in machine learning from Pierre and Marie Curie University in Paris in early 2010. He has received two awards for best PhD from the French Association for Artificial Intelligence and from the French Armament Agency, as well as a Scientific Excellence Scholarship awarded by CNRS in 2013.

Antoine's Publications

May 01, 2020

RESEARCH

NLP

Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs

Query-based open-domain NLP tasks require information synthesis from long and diverse web results. Current approaches extractively select portions of web text as input to Sequence-to-Sequence models using methods such as TF-IDF ranking. We…

Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes

May 01, 2020

May 01, 2020

RESEARCH

NLP

Engaging Image Captioning via Personality

Standard image captioning tasks such as COCO and Flickr30k are factual, neutral in tone and (to a human) state the obvious (e.g., “a man playing a guitar”). While such tasks are useful to verify that a machine understands the content of an…

Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston

May 01, 2020

May 01, 2020

RESEARCH

NLP

Training Millions of Personalized Dialogue Agents

Current dialogue systems are not very engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies. Zhang et al. (2018) showed that the engagement level of end-to-end dialogue models…

Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, Antoine Bordes

May 01, 2020