World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
58457
World Ranking
1817
National Ranking
921

Overview

Armand Joulin is affiliated with Facebook in the United States, focusing on research within the field of computer science, with an emphasis on computer vision and pattern recognition. Their expertise covers multiple subfields, including artificial intelligence, radiology, nuclear medicine and imaging, communication, and geology.

Their extensive research interests span various topics such as domain adaptation and few-shot learning, advanced neural network applications, advanced image and video retrieval techniques, multimodal machine learning applications, topic modeling, natural language processing techniques, and visual attention and saliency detection.

Joulin has contributed to numerous publications, frequently collaborating with coauthors including Piotr Bojanowski, Ishan Misra, Mathilde Caron, Édouard Grave, and Hervé Jeǵou. The majority of their work has been published in leading venues such as arXiv (Cornell University), the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE Transactions on Pattern Analysis and Machine Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and Nature Machine Intelligence.

Recent papers authored or coauthored by Joulin include:

  • Emerging Properties in Self-Supervised Vision Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • LLaMA: Open and Efficient Foundation Language Models, 2023, arXiv (Cornell University)
  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, 2020, arXiv (Cornell University)
  • DINOv2: Learning Robust Visual Features without Supervision, 2023, arXiv (Cornell University)
  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Enriching Word Vectors with Subword Information

    Piotr Bojanowski;Edouard Grave;Armand Joulin;Tomas Mikolov

  • LLaMA: Open and Efficient Foundation Language Models

    Unknown

  • Bag of Tricks for Efficient Text Classification

    Armand Joulin;Edouard Grave;Piotr Bojanowski;Tomas Mikolov

  • Emerging Properties in Self-Supervised Vision Transformers

    Mathilde Caron;Hugo Touvron;Hugo Touvron;Ishan Misra;Hervé Jégou

  • Deep Clustering for Unsupervised Learning of Visual Features

    Mathilde Caron;Piotr Bojanowski;Armand Joulin;Matthijs Douze

  • Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

    Mathilde Caron;Ishan Misra;Julien Mairal;Priya Goyal

  • DINOv2: Learning Robust Visual Features without Supervision

    Unknown

  • Advances in Pre-Training Distributed Word Representations

    Tomas Mikolov;Edouard Grave;Piotr Bojanowski;Christian Puhrsch

  • Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

    Andrej Karpathy;Armand Joulin;Fei Fei F Li

  • Learning Word Vectors for 157 Languages

    Edouard Grave;Piotr Bojanowski;Prakhar Gupta;Armand Joulin

  • FastText.zip: Compressing text classification models

    Armand Joulin;Edouard Grave;Piotr Bojanowski;Matthijs Douze

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

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

  • ImageBind One Embedding Space to Bind Them All

    Unknown

  • ResMLP: Feedforward networks for image classification with data-efficient training

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • Detecting Twenty-thousand Classes using Image-level Supervision

    Unknown

  • Discriminative clustering for image co-segmentation

    Armand Joulin;Francis Bach;Jean Ponce

  • Gemma: Open Models Based on Gemini Research and Technology

    Unknown

  • Beyond English-Centric Multilingual Machine Translation

    Angela Fan;Shruti Bhosale;Holger Schwenk;Zhiyi Ma

  • Libri-Light: A Benchmark for ASR with Limited or No Supervision

    J. Kahn;M. Riviere;W. Zheng;E. Kharitonov

  • Unsupervised Joint Object Discovery and Segmentation in Internet Images

    Michael Rubinstein;Michael Rubinstein;Armand Joulin;Johannes Kopf;Ce Liu

  • Reducing Transformer Depth on Demand with Structured Dropout

    Angela Fan;Edouard Grave;Armand Joulin

  • Inferring algorithmic patterns with stack-augmented recurrent nets

    Armand Joulin;Tomas Mikolov

  • Multi-class cosegmentation

    Armand Joulin;Francis Bach;Jean Ponce

  • Learning Visual Features from Large Weakly Supervised Data

    Armand Joulin;Laurens van der Maaten;Allan Jabri;Nicolas Vasilache

  • Optimizing the Latent Space of Generative Networks

    Piotr Bojanowski;Armand Joulin;David Lopez-Paz;Arthur Szlam

Frequent Co-Authors

Edouard Grave
Edouard Grave Facebook (United States)
Piotr Bojanowski
Piotr Bojanowski Facebook (United States)
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague
Hervé Jégou
Hervé Jégou Facebook (United States)
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)
Li Fei-Fei
Li Fei-Fei Stanford University
Francis Bach
Francis Bach École Normale Supérieure
Marco Baroni
Marco Baroni Institució Catalana de Recerca i Estudis Avançats
Ishan Misra
Ishan Misra Facebook (United States)

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