D-Index & Metrics Best Publications

Nicolas Usunier

Facebook (United States)
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 34 Citations 12,381 111 World Ranking 7821 National Ranking 3651

Overview

What is he best known for?

The fields of study Nicolas Usunier is best known for:

Algorithm
Fourier transform
Artificial intelligence

Nicolas Usunier is exploring Artificial neural network as part of his Stochastic gradient descent and Deep neural networks and Artificial neural network studies. In most of his Artificial intelligence studies, his work intersects topics such as Adversarial system. Many of his studies on Machine learning apply to Schema (genetic algorithms) as well. His Schema (genetic algorithms) study often links to related topics such as Machine learning. Nicolas Usunier combines Natural language processing and Information retrieval in his research. While working in this field, Nicolas Usunier studies both Information retrieval and Natural language processing. Nicolas Usunier applies his multidisciplinary studies on Computer vision and Computer graphics (images) in his research. Nicolas Usunier merges Computer graphics (images) with Computer vision in his research. He integrates several fields in his works, including Data mining and Data science.

His most cited work include:

End-to-End Object Detection with Transformers (1834 citations)
Translating Embeddings for Modeling Multi-relational Data (1220 citations)
Large scale image annotation: learning to rank with joint word-image embeddings (377 citations)

What are the main themes of his work throughout his whole career to date

Artificial intelligence is intertwined with Pattern recognition (psychology), Artificial neural network, Ranking (information retrieval), Embedding, Classifier (UML) and Knowledge base in his research. In his work, he performs multidisciplinary research in Machine learning and Data mining. While working on this project, he studies both Data mining and Machine learning. While working in this field, Nicolas Usunier studies both Natural language processing and Information retrieval. While working on this project, he studies both Information retrieval and Ranking (information retrieval). His Mathematical analysis study frequently links to other fields, such as Base (topology). His work on Base (topology) is being expanded to include thematically relevant topics such as Mathematical analysis. While working in this field, he studies both Algorithm and Artificial intelligence.

Nicolas Usunier most often published in these fields:

Artificial intelligence (87.04%)
Machine learning (42.59%)
Data mining (22.22%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Translating Embeddings for Modeling Multi-relational Data

Antoine Bordes;Nicolas Usunier;Alberto Garcia-Duran;Jason Weston.
neural information processing systems (2013)

4082 Citations

End-to-End Object Detection with Transformers

Nicolas Carion;Francisco Massa;Gabriel Synnaeve;Nicolas Usunier.
european conference on computer vision (2020)

1544 Citations

WSABIE: scaling up to large vocabulary image annotation

Jason Weston;Samy Bengio;Nicolas Usunier.
international joint conference on artificial intelligence (2011)

828 Citations

Large-scale Simple Question Answering with Memory Networks

Antoine Bordes;Nicolas Usunier;Sumit Chopra;Jason Weston.
arXiv: Learning (2015)

635 Citations

Parseval networks: improving robustness to adversarial examples

Moustapha Cisse;Piotr Bojanowski;Edouard Grave;Yann Dauphin.
international conference on machine learning (2017)

520 Citations

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

Jason Weston;Samy Bengio;Nicolas Usunier.
european conference on machine learning (2010)

512 Citations

Fader Networks:Manipulating Images by Sliding Attributes

Guillaume Lample;Guillaume Lample;Neil Zeghidour;Nicolas Usunier;Antoine Bordes.
neural information processing systems (2017)

409 Citations

Open Question Answering with Weakly Supervised Embedding Models

Antoine Bordes;Jason Weston;Nicolas Usunier.
european conference on machine learning (2014)

333 Citations

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

Massih Amini;Nicolas Usunier;Cyril Goutte.
neural information processing systems (2009)

317 Citations

Improving Neural Language Models with a Continuous Cache.

Edouard Grave;Armand Joulin;Nicolas Usunier.
international conference on learning representations (2016)

219 Citations

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Frequent Co-Authors

External Links

Personal Website for Nicolas Usunier