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Computer Science

D-Index
45
Citations
36245
World Ranking
6965
National Ranking
3045

Overview

Antoine Bordes is a researcher affiliated with Facebook in the United States. Their work primarily falls within the field of Computer Science, with a focus on Artificial Intelligence, particularly topics related to Natural Language Processing and Computer Vision.

The main areas of study covered in Antoine Bordes's research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Communication

Their research topics span a variety of themes centered on language and machine learning, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications
  • AI in Service Interactions
  • Multi-Agent Systems and Negotiation
  • Speech and Dialogue Systems

Antoine Bordes's publication record features papers in notable venues such as arXiv (Cornell University), Transactions of the Association for Computational Linguistics, and HAL (Le Centre pour la Communication Scientifique Directe). Some recent papers include:

  • Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions, 2020, arXiv (Cornell University)
  • Augmenting Transformers with KNN-Based Composite Memory for Dialog, 2021, Transactions of the Association for Computational Linguistics
  • MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases, 2020, HAL (Le Centre pour la Communication Scientifique Directe)
  • MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases, 2020, arXiv (Cornell University)
  • Augmenting Transformers with KNN-Based Composite Memory for Dialogue, 2020, arXiv (Cornell University)

Frequent collaborators in their research include:

  • Angela Fan
  • Louis Martin
  • Benoît Sagot
  • Claire Gardent
  • Chloé Braud

The collaboration network reflects a consistent engagement with coauthors who contribute to overlapping topics in machine learning and natural language processing.

Antoine Bordes's work is characterized by contributions to emerging areas in conversational agents, memory-augmented transformers, and sentence simplification techniques. Their research outputs emphasize multi-language capabilities and dialogue systems development, reflecting current trends in AI-driven communication technologies.

Best Publications

  • Deep sparse rectifier neural networks

    Xavier Glorot;Antoine Bordes;Yoshua Bengio

  • Translating Embeddings for Modeling Multi-relational Data

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

  • Supervised learning of universal sentence representations from natural language inference data

    Alexis Conneau;Douwe Kiela;Holger Schwenk;Loïc Barrault

  • Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach

    Xavier Glorot;Antoine Bordes;Antoine Bordes;Yoshua Bengio

  • Reading Wikipedia to Answer Open-Domain Questions

    Danqi Chen;Adam Fisch;Jason Weston;Antoine Bordes

  • Memory Networks

    Jason Weston;Sumit Chopra;Antoine Bordes

  • Learning structured embeddings of knowledge bases

    Antoine Bordes;Jason Weston;Ronan Collobert;Yoshua Bengio

  • Key-Value Memory Networks for Directly Reading Documents

    Alexander H. Miller;Adam Fisch;Jesse Dodge;Amir-Hossein Karimi

  • Fast Kernel Classifiers with Online and Active Learning

    Antoine Bordes;Seyda Ertekin;Jason Weston;Léon Bottou

  • Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

    Jason Weston;Antoine Bordes;Sumit Chopra;Alexander M. Rush

  • Question Answering with Subgraph Embeddings

    Antoine Bordes;Sumit Chopra;Jason Weston

  • A semantic matching energy function for learning with multi-relational data

    Antoine Bordes;Xavier Glorot;Jason Weston;Yoshua Bengio

  • Learning End-to-End Goal-Oriented Dialog

    Antoine Bordes;Y-Lan Boureau;Jason Weston

  • Large-scale Simple Question Answering with Memory Networks

    Antoine Bordes;Nicolas Usunier;Sumit Chopra;Jason Weston

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

    Felix Hill;Antoine Bordes;Sumit Chopra;Jason Weston

  • Fader Networks:Manipulating Images by Sliding Attributes

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

  • A latent factor model for highly multi-relational data

    Rodolphe Jenatton;Nicolas L. Roux;Antoine Bordes;Guillaume R Obozinski

  • SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent

    Antoine Bordes;Léon Bottou;Patrick Gallinari

  • Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing

    Antoine Bordes;Xavier Glorot;Jason Weston;Yoshua Bengio

  • Open Question Answering with Weakly Supervised Embedding Models

    Antoine Bordes;Jason Weston;Nicolas Usunier

Frequent Co-Authors

Jason Weston
Jason Weston Facebook (United States)
Nicolas Usunier
Nicolas Usunier Facebook (United States)
Sumit Chopra
Sumit Chopra New York University
Yoshua Bengio
Yoshua Bengio University of Montreal
Léon Bottou
Léon Bottou Facebook (United States)
Yann LeCun
Yann LeCun Facebook (United States)
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Ronan Collobert
Ronan Collobert Facebook (United States)
Patrick Gallinari
Patrick Gallinari Sorbonne University
Marc'Aurelio Ranzato
Marc'Aurelio Ranzato DeepMind (United Kingdom)

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