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Computer Science

D-Index
44
Citations
39157
World Ranking
7338
National Ranking
3194

Overview

Edouard Grave is affiliated with Facebook in the United States. Their research primarily falls within the field of Computer Science, with a significant focus on Artificial Intelligence and computer vision-related areas.

The subfields of study that characterize their work include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Communication
  • Information Systems
  • Software

The main topics addressed by Edouard Grave's research encompass:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Wikis in Education and Collaboration
  • Advanced Neural Network Applications
  • Speech Recognition and Synthesis

Edouard Grave has published extensively, with a predominant number of publications appearing in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Nature Machine Intelligence
  • Research Square (Research Square)

Among their recent papers are:

  • LLaMA: Open and Efficient Foundation Language Models, 2023, arXiv (Cornell University)
  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Beyond English-Centric Multilingual Machine Translation, 2020, arXiv (Cornell University)
  • Atlas: Few-shot Learning with Retrieval Augmented Language Models, 2022, arXiv (Cornell University)
  • Unsupervised Dense Information Retrieval with Contrastive Learning, 2021, arXiv (Cornell University)

Frequent collaborators of Edouard Grave include:

  • Gautier Izacard
  • Armand Joulin
  • Fabio Petroni
  • Timo Schick
  • Patrick Lewis

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

  • Unsupervised Cross-lingual Representation Learning at Scale

    Alexis Conneau;Kartikay Khandelwal;Naman Goyal;Vishrav Chaudhary

  • Advances in Pre-Training Distributed Word Representations

    Tomas Mikolov;Edouard Grave;Piotr Bojanowski;Christian Puhrsch

  • 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

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

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

    Gautier Izacard;Edouard Grave

  • Parseval networks: improving robustness to adversarial examples

    Moustapha Cisse;Piotr Bojanowski;Edouard Grave;Yann Dauphin

  • Colorless green recurrent networks dream hierarchically

    Kristina Gulordava;Piotr Bojanowski;Edouard Grave;Tal Linzen

  • Beyond English-Centric Multilingual Machine Translation

    Angela Fan;Shruti Bhosale;Holger Schwenk;Zhiyi Ma

  • Few-shot Learning with Retrieval Augmented Language Models

    Unknown

  • Reducing Transformer Depth on Demand with Structured Dropout

    Angela Fan;Edouard Grave;Armand Joulin

  • Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

    Armand Joulin;Piotr Bojanowski;Tomas Mikolov;Hervé Jégou

  • CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

    Guillaume Wenzek;Marie-Anne Lachaux;Alexis Conneau;Vishrav Chaudhary

  • Augmented Language Models: a Survey

    Unknown

  • Adaptive Attention Span in Transformers

    Sainbayar Sukhbaatar;Edouard Grave;Piotr Bojanowski;Armand Joulin

  • Improving Neural Language Models with a Continuous Cache.

    Edouard Grave;Armand Joulin;Nicolas Usunier

  • Efficient softmax approximation for GPUs

    Édouard Grave;Armand Joulin;Moustapha Cissé

  • End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

    Gabriel Synnaeve;Qiantong Xu;Jacob Kahn;Edouard Grave

  • CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

    Holger Schwenk;Guillaume Wenzek;Sergey Edunov;Edouard Grave

  • Efficient softmax approximation for GPUs

    Edouard Grave;Armand Joulin;Moustapha Cissé;David Grangier

Frequent Co-Authors

Armand Joulin
Armand Joulin Google (United States)
Piotr Bojanowski
Piotr Bojanowski Facebook (United States)
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague
Francis Bach
Francis Bach École Normale Supérieure
Hervé Jégou
Hervé Jégou Facebook (United States)
Alexis Conneau
Alexis Conneau Facebook (United States)
Noémie Elhadad
Noémie Elhadad Columbia University
Michael Auli
Michael Auli Facebook (United States)
Nicolas Usunier
Nicolas Usunier Facebook (United States)

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