🧑‍🔬 Nicolas Usunier

🏛️ Affiliations

🏢MetaMenlo Park · United States2015–2023 · 35 papers🔬LIP6Paris · France2005–2014 · 19 papers🎓Université Pierre-et-Marie-CurieParis · France2005–2014 · 18 papers🔬Heuristics and Diagnostics for Complex SystemsCompiègne · France2013–2016 · 15 papers🎓Université de Technologie de CompiègneCompiègne · France2013–2016 · 15 papers🔬Centre National de la Recherche ScientifiqueParis · France2010–2021 · 7 papers🏢MetaLondon · United Kingdom2017–2021 · 7 papers🏢MetaTel Aviv · Israel2016–2021 · 5 papers🔬Facility for Antiproton and Ion ResearchDarmstadt · Germany2018–2019 · 3 papers🎓Université Paris Sciences et LettresParis · France2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. End-to-End Object Detection with Transformers (2020 · 16,967 citations)
   Most object detectors do not output a list of objects directly. They score huge pools of proposals, anchors or grid cells, then clean up the duplicates with hand-tuned steps such as non-maximum suppression. DETR (DEtection TRansformer) treats detection as predicting an unordered set.
2. Translating Embeddings for Modeling Multi-relational Data (2013 · 5,863 citations)
   The paper addresses learning vector representations (embeddings) for multi-relational data. These are knowledge graphs in which each fact is written as a triple (head, label, tail). The authors sought a model that is easy to train, has few parameters, and works on very large databases. To this end, they proposed…

All works

10 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. End-to-End Object Detection with TransformersLecture notes in computer scienceNicolas Carion, Francisco Massa, Gabriel Synnaeve, et al.2020 · 16,967 citations
2. Translating Embeddings for Modeling Multi-relational DataConference on Neural Information Processing Systems (NeurIPS)Antoine Bordes, Nicolas Usunier, Alberto Garcia-Durán, et al.2013 · 5,863 citations
3. Fader Networks: Manipulating Images by Sliding Attributes ↗arXiv (Cornell University) · no summary yetGuillaume Lample et al.2017 · 286 citations
4. Improving Neural Language Models with a Continuous Cache ↗arXiv:1612.04426 · no summary yetEdouard Grave, Armand Joulin, Nicolas Usunier2016 · 179 citations
5. Ranking with ordered weighted pairwise classification ↗International Conference on Machine Learning · no summary yetNicolas Usunier, David Buffoni, Patrick Gallinari2009 · 148 citations
6. Composing Relationships with Translations ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetAlberto García-Durán, Antoine Bordes, Nicolas Usunier2015 · 103 citations
7. Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks ↗arXiv (Cornell University) · no summary yetNicolas Usunier et al.2016 · 96 citations
8. TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games ↗arXiv (Cornell University) · no summary yetGabriel Synnaeve et al.2016 · 83 citations
9. Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement ↗International Conference on Learning Representations · no summary yetNicolas Usunier et al.2017 · 8 citations
10. Fader Networks: Generating Image Variations by Sliding Attribute Values ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetGuillaume Lample et al.2017 · 3 citations

🤝 Co-authors here

5 co-authors with a page, the most papers together first.

• Alexander Kirillov
• Antoine Bordes
• Francisco Massa
• Gabriel Synnaeve
• Jason Weston

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Lecture notes in computer science: Lecture notes in computer science 2020
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2013
• HAL (Le Centre pour la Communication Scientifique Directe)
• International Conference on Learning Representations
• International Conference on Machine Learning
• Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 2,664 times (of the 149,439 papers whose bibliographies we read); 298 citing papers with a page here →.

Updated 30 October 2026

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