People

Antoine Bordes

Director, Research Science

I am a research scientist at Facebook Artificial Intelligence Research. Prior to joining Facebook in 2014, I was a CNRS staff researcher in the Heudiasyc laboratory of the University of Technology of Compiegne in France. In 2010, I was a postdoctoral fellow in Yoshua Bengio’s lab at University of Montreal. I received my PhD in machine learning from Pierre and Marie Curie University in Paris in early 2010. I 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.

Interests

Knowledge base modeling and natural language processing

Latest Publications

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

Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes

EMNLP - November 3, 2019

Engaging Image Captioning via Personality

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

CVPR - June 4, 2019

Training Millions of Personalized Dialogue Agents

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

EMNLP 2018 - October 31, 2018

Reference-less Quality Estimation of Text Simplification Systems

Louis Martin, Samuel Humeau, Pierre-Emmanuel Mazaré, Antoine Bordes, Éric de La Clergerie, Benoit Steiner

INLG - October 31, 2018

DesIGN: Design Inspiration from Generative Networks

Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie

ArXive - April 3, 2018

StarSpace: Embed All The Things!

Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston

AAAI 2018 - February 2, 2018

Fader Networks: Manipulating Images by Sliding Attributes

Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato

NIPS 2017 - December 4, 2017

ParlAI: A Dialog Research Software Platform

Alexander H. Miller, Will Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, Jason Weston

EMNLP 2017 - September 9, 2017

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Alexis Conneau, Douwe Kiela, Holger Schwenk, LoÏc Barrault, Antoine Bordes

EMNLP 2017 - September 7, 2017

Reading Wikipedia to Answer Open-Domain Questions

Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes

ACL 2017 - July 30, 2017

Tracking the World State with Recurrent Entity Networks

Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, Yann LeCun

ICLR 2017 - April 24, 2017

Learning End-to-End Goal-Oriented Dialog

Antoine Bordes, Y-Lan Boureau, Jason Weston

ICLR 2017 - April 24, 2017

Combining Two and Three-Way Embeddings Models for Link Prediction in Knowledge Bases

Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier, Yves Grandvalet

JAIR - June 20, 2016

Key-Value Memory Networks for Directly Reading Documents

Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston

EMNLP - June 8, 2016

Evaluating Prerequisite Qualities for Learning End-to-end Dialog Systems

Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander Miller, Arthur Szlam, Jason Weston

ICLR - April 19, 2016

The Goldilocks Principle: Reading Children’s Books with Explicit Memory Representations

Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston

ICLR - April 1, 2016

Large-Scale Simple Question Answering with Memory Networks

Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston

ArXiv - June 22, 2015

Question Answering with Subgraph Embeddings

Antoine Bordes, Jason Weston, Sumit Chopra

EMNLP - September 4, 2014