World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
120
Citations
111181
World Ranking
143
National Ranking
83

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award

Overview

Jason Weston is affiliated with Facebook in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields. Their research encompasses various areas including artificial intelligence, computer vision and pattern recognition, information systems, political science and international relations, as well as sociology and political science.

The main fields of study for Weston include:

  • Computer Science

The subfields of their research are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Political Science and International Relations
  • Sociology and Political Science

Weston's work covers a range of topics such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • Multimodal Machine Learning Applications
  • AI in Service Interactions
  • Artificial Intelligence in Law
  • Multi-Agent Systems and Negotiation

Their frequent co-authors include:

  • Sainbayar Sukhbaatar
  • Kurt Shuster
  • Arthur Szlam
  • Ilia Kulikov
  • Jack Urbanek

Weston has published major work in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Findings of the Association for Computational Linguistics: NAACL 2022
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Selected recent papers authored by Weston include:

  • Internet-Augmented Dialogue Generation, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Recipes for Safety in Open-domain Chatbots, 2020, arXiv (Cornell University)
  • BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage, 2022, arXiv (Cornell University)
  • Beyond Goldfish Memory: Long-Term Open-Domain Conversation, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Hash Layers For Large Sparse Models, 2021, arXiv (Cornell University)

Best Publications

  • Gene Selection for Cancer Classification using Support Vector Machines

    Isabelle Guyon;Jason Weston;Stephen Barnhill;Vladimir Vapnik

  • Natural Language Processing (Almost) from Scratch

    Ronan Collobert;Jason Weston;Léon Bottou;Michael Karlen

  • A unified architecture for natural language processing: deep neural networks with multitask learning

    Ronan Collobert;Jason Weston

  • Translating Embeddings for Modeling Multi-relational Data

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

  • Curriculum learning

    Yoshua Bengio;Jérôme Louradour;Ronan Collobert;Jason Weston

  • Learning with Local and Global Consistency

    Dengyong Zhou;Olivier Bousquet;Thomas N. Lal;Jason Weston

  • Fisher discriminant analysis with kernels

    S. Mika;G. Ratsch;J. Weston;B. Scholkopf

  • A Neural Attention Model for Abstractive Sentence Summarization

    Alexander M. Rush;Sumit Chopra;Jason Weston

  • Semi-supervised learning for peptide identification from shotgun proteomics datasets

    Lukas Käll;Jesse D Canterbury;Jason Weston;William Stafford Noble

  • End-to-end memory networks

    Sainbayar Sukhbaatar;Arthur Szlam;Jason Weston;Rob Fergus

  • A kernel method for multi-labelled classification

    André Elisseeff;Jason Weston

  • Multi-class support vector machines

    J. Weston

  • Reading Wikipedia to Answer Open-Domain Questions

    Danqi Chen;Adam Fisch;Jason Weston;Antoine Bordes

  • Memory Networks

    Jason Weston;Sumit Chopra;Antoine Bordes

  • Feature Selection for SVMs

    Jason Weston;Sayan Mukherjee;Olivier Chapelle;Massimiliano Pontil

  • Personalizing Dialogue Agents: I have a dog, do you have pets too?

    Saizheng Zhang;Emily Dinan;Jack Urbanek;Arthur Szlam

  • A User's Guide to Support Vector Machines

    Asa Ben-Hur;Jason Weston

  • Support vector machines for multi-class pattern recognition.

    Jason Weston;Chris Watkins

  • Deep Learning via Semi-Supervised Embedding

    Jason Weston;Frédéric Ratle;Hossein Mobahi;Ronan Collobert

  • Learning structured embeddings of knowledge bases

    Antoine Bordes;Jason Weston;Ronan Collobert;Yoshua Bengio

Frequent Co-Authors

Antoine Bordes
Antoine Bordes Facebook (United States)
Ronan Collobert
Ronan Collobert Facebook (United States)
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Sumit Chopra
Sumit Chopra New York University
William Stafford Noble
William Stafford Noble University of Washington
Christina S. Leslie
Christina S. Leslie Memorial Sloan Kettering Cancer Center
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Douwe Kiela
Douwe Kiela Stanford University
Léon Bottou
Léon Bottou Facebook (United States)
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)

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