World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
27064
World Ranking
7348
National Ranking
3198

Overview

Nicolas Usunier is affiliated with Facebook in the United States and has published extensively in the field of computer science. Their research contributions span 48 publications, focusing primarily on artificial intelligence, management science and operations research, and computer vision and pattern recognition among other areas.

The scientist's work often appears in venues such as arXiv (Cornell University), where they have published 25 papers, the 2022 ACM Conference on Fairness, Accountability, and Transparency, Lecture Notes in Computer Science, the Proceedings of the AAAI Conference on Artificial Intelligence, and the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Usunier's research topics include:

  • Advanced Bandit Algorithms Research
  • Domain Adaptation and Few-Shot Learning
  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Recommender Systems and Techniques
  • Game Theory and Voting Systems

Among recent papers, Usunier was associated with several significant works including:

  • End-to-End Object Detection with Transformers, 2020, Lecture Notes in Computer Science
  • Code Llama: Open Foundation Models for Code, 2023, arXiv (Cornell University)
  • Tensor Decompositions for Temporal Knowledge Base Completion, 2020, arXiv (Cornell University)
  • A Simple Convergence Proof of Adam and Adagrad, 2020, arXiv (Cornell University)
  • Online Certification of Preference-Based Fairness for Personalized Recommender Systems, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include Virginie Do, Gabriel Synnaeve, Jamal Atif, Wassim Bouaziz, and El Mahdi El Mhamdi. Their collaboration counts range from four to nine joint works.

Best Publications

  • End-to-End Object Detection with Transformers

    Nicolas Carion;Francisco Massa;Gabriel Synnaeve;Nicolas Usunier

  • Translating Embeddings for Modeling Multi-relational Data

    Antoine Bordes;Nicolas Usunier;Alberto Garcia-Duran;Jason Weston

  • WSABIE: scaling up to large vocabulary image annotation

    Jason Weston;Samy Bengio;Nicolas Usunier

  • Large-scale Simple Question Answering with Memory Networks

    Antoine Bordes;Nicolas Usunier;Sumit Chopra;Jason Weston

  • Code Llama: Open Foundation Models for Code

    Unknown

  • Parseval networks: improving robustness to adversarial examples

    Moustapha Cisse;Piotr Bojanowski;Edouard Grave;Yann Dauphin

  • Large scale image annotation: learning to rank with joint word-image embeddings

    Jason Weston;Samy Bengio;Nicolas Usunier

  • Fader Networks:Manipulating Images by Sliding Attributes

    Guillaume Lample;Guillaume Lample;Neil Zeghidour;Nicolas Usunier;Antoine Bordes

  • Open Question Answering with Weakly Supervised Embedding Models

    Antoine Bordes;Jason Weston;Nicolas Usunier

  • Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization

    Massih Amini;Nicolas Usunier;Cyril Goutte

  • Improving Neural Language Models with a Continuous Cache.

    Edouard Grave;Armand Joulin;Nicolas Usunier

  • Canonical Tensor Decomposition for Knowledge Base Completion

    Timothée Lacroix;Nicolas Usunier;Guillaume Obozinski

  • Music Source Separation in the Waveform Domain

    Alexandre Défossez;Alexandre Défossez;Nicolas Usunier;Léon Bottou;Francis R. Bach;Francis R. Bach

  • Ranking with ordered weighted pairwise classification

    Nicolas Usunier;David Buffoni;Patrick Gallinari

  • Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

    Jason Weston;Antoine Bordes;Oksana Yakhnenko;Nicolas Usunier

  • Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks

    Nicolas Usunier;Gabriel Synnaeve;Zeming Lin;Soumith Chintala

  • Tensor Decompositions for Temporal Knowledge Base Completion

    Timothée Lacroix;Guillaume Obozinski;Nicolas Usunier

  • Optimizing F-Measures by Cost-Sensitive Classification

    Shameem Puthiya Parambath;Nicolas Usunier;Yves Grandvalet

  • Robust Bloom Filters for Large MultiLabel Classification Tasks

    Moustapha M Cisse;Nicolas Usunier;Thierry Artières;Patrick Gallinari

  • A Coverage-Based Approach to Recommendation Diversity On Similarity Graph

    Shameem A. Puthiya Parambath;Nicolas Usunier;Yves Grandvalet

  • A Simple Convergence Proof of Adam and Adagrad

    Alexandre Défossez;Léon Bottou;Francis Bach;Nicolas Usunier

  • Learning Filterbanks from Raw Speech for Phone Recognition

    Neil Zeghidour;Nicolas Usunier;Iasonas Kokkinos;Thomas Schatz

Frequent Co-Authors

Patrick Gallinari
Patrick Gallinari Sorbonne University
Gabriel Synnaeve
Gabriel Synnaeve Facebook (United States)
Antoine Bordes
Antoine Bordes Facebook (United States)
Jason Weston
Jason Weston Facebook (United States)
Francis Bach
Francis Bach École Normale Supérieure
Léon Bottou
Léon Bottou Facebook (United States)
François Laviolette
François Laviolette Université Laval
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Ludovic Denoyer
Ludovic Denoyer Sorbonne University

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