I joined Facebook as a Research Scientist in March 2015. I received my PhD in Machine Learning from Université Pierre et Marie Curie, in Paris, in 2006. I was Associate Profesor there until 2012, when I joined Université de Technologie de Compiègne, in France, with a chair position from the “CNRS-Higher Education Chairs” program. My research interests are learning theory, learning to rank, and learning with multiples objectives.
Interests
Machine learning theory and algorithms, information retrieval, text analysis
Related Links
Latest Publications
NeurIPS - November 8, 2021
Two-sided fairness in rankings via Lorenz dominance
Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
IJCAI - August 20, 2021
Online Selection of Diverse Committees
Virginie Do, Jamal Atif, Jérôme Lang, Nicolas Usunier
NeurIPS - December 5, 2020
On ranking via sorting by estimated expected utility
Clèment Calauzènes, Nicolas Usunier
ECCV - August 23, 2020
End-to-End Object Detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko
July 14, 2020
Growing Action Spaces
Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
NeurIPS - October 18, 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion, Gabriel Synnaeve, Alessandro Lazaric, Nicolas Usunier
ICLR - May 6, 2019
Value Propagation Networks
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin, Pushmeet Kohli, Philip H.S. Torr, Nicolas Usunier
NeurIPS - December 3, 2018
Forward Modeling for Partial Observation Strategy Games – A StarCraft Defogger
Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Dan Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier
Reinforcement Learning under Partial Observability Workshop at NeurIPS 2018 - December 3, 2018
High-Level Strategy Selection under Partial Observability in StarCraft: Brood War
Jonas Gehring, Da Ju, Vegard Mella, Daniel Gant, Nicolas Usunier, Gabriel Synnaeve
NIPS 2018 - October 26, 2018
SING: Symbol-to-Instrument Neural Generator
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis Bach
ICML 2018 - June 18, 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
ICASSP 2018 - April 15, 2018
Learning Filterbanks from Raw Speech for Phone Recognition
Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux
NIPS 2017 - December 4, 2017
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato
ICCV 2017 - October 22, 2017
Dense and Low-Rank Gaussian CRFs using Deep Embeddings
Siddhartha Chandra, Nicolas Usunier, Iasonas Kokkinos
ICLR 2017 - April 24, 2017
Improving Neural Language Models with a Continuous Cache
Edouard Grave, Armand Joulin, Nicolas Usunier
ICLR 2017 - April 24, 2017
Episodic Exploration for Deep Deterministic Policies for StarCraft Micro-Management
Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala
September 8, 2016
Joint Learning of Speaker and Phonetic Similarities with Siamese Networks
Neil Zeghidour, Gabriel Synnaeve, Nicolas Usunier, Emmanuel Dupoux
JAIR - June 20, 2016
Combining Two and Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
ArXiv - June 22, 2015
Large-Scale Simple Question Answering with Memory Networks
Antoine Bordes, Nicolas Usunier, Sumit Chopra, Jason Weston
Videos
All Videos
End-to-End Object Detection with Transformers
2:00 | August 21, 2020