World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
28470
World Ranking
4427
National Ranking
2069

Overview

Michael Auli is affiliated with Facebook in the United States. Their research primarily falls within the field of Computer Science, with a strong focus on Artificial Intelligence. Additional subfields of study include Signal Processing, Computer Vision and Pattern Recognition, Health Informatics, and Cancer Research.

The main research topics covered by Michael Auli's work encompass:

  • Speech Recognition and Synthesis
  • Natural Language Processing Techniques
  • Topic Modeling
  • Music and Audio Processing
  • Speech and dialogue systems
  • Speech and Audio Processing
  • Advanced Neural Network Applications

Michael Auli has published extensively, with a significant number of papers appearing in the following venues:

  • arXiv (Cornell University) - 35 publications
  • Interspeech 2022 - 6 publications
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) - 1 publication
  • 2022 IEEE Spoken Language Technology Workshop (SLT) - 1 publication
  • European Journal of Clinical Investigation - 1 publication

Recent notable papers include:

  • "wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" (2020), published in arXiv (Cornell University)
  • "Beyond English-Centric Multilingual Machine Translation" (2020), published in arXiv (Cornell University)
  • "XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale" (2022), published in Interspeech 2022
  • "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" (2022), published in arXiv (Cornell University)
  • "Scaling Speech Technology to 1,000+ Languages" (2023), published in arXiv (Cornell University)

Michael Auli frequently collaborates with other researchers including:

  • Alexei Baevski
  • Wei-Ning Hsu
  • Alexis Conneau
  • Changhan Wang
  • Qiantong Xu

Their body of work emphasizes self-supervised learning approaches and multilingual language technologies, especially in the domain of speech representation and processing. The research spans interdisciplinary applications with contributions to both fundamental AI techniques and specific domains such as speech recognition and multilingual machine translation.

Best Publications

  • Convolutional Sequence to Sequence Learning

    Jonas Gehring;Michael Auli;David Grangier;Denis Yarats

  • fairseq: A Fast, Extensible Toolkit for Sequence Modeling

    Myle Ott;Sergey Edunov;Alexei Baevski;Angela Fan

  • wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

    Alexei Baevski;Henry Zhou;Abdelrahman Mohamed;Michael Auli

  • Language modeling with gated convolutional networks

    Yann N. Dauphin;Angela Fan;Michael Auli;David Grangier

  • Sequence Level Training with Recurrent Neural Networks

    Marc'Aurelio Ranzato;Sumit Chopra;Michael Auli;Wojciech Zaremba

  • Understanding Back-Translation at Scale.

    Sergey Edunov;Myle Ott;Michael Auli;David Grangier

  • wav2vec: Unsupervised Pre-Training for Speech Recognition.

    Steffen Schneider;Alexei Baevski;Ronan Collobert;Michael Auli

  • 3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training

    Dario Pavllo;Christoph Feichtenhofer;David Grangier;Michael Auli

  • Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

    Sumit Chopra;Michael Auli;Alexander M. Rush

  • A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

    Alessandro Sordoni;Michel Galley;Michael Auli;Chris Brockett

  • wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

    Alexei Baevski;Yuhao Zhou;Abdelrahman Mohamed;Michael Auli

  • Wizard of Wikipedia: Knowledge-Powered Conversational Agents

    Emily Dinan;Stephen Roller;Kurt Shuster;Angela Fan

  • Scaling Neural Machine Translation

    Myle Ott;Sergey Edunov;David Grangier;Michael Auli

  • Pay Less Attention with Lightweight and Dynamic Convolutions

    Felix Wu;Angela Fan;Alexei Baevski;Yann N. Dauphin

  • Unsupervised Cross-lingual Representation Learning for Speech Recognition

    Alexis Conneau;Alexei Baevski;Ronan Collobert;Abdelrahman Mohamed

  • Beyond English-Centric Multilingual Machine Translation

    Angela Fan;Shruti Bhosale;Holger Schwenk;Zhiyi Ma

  • A Convolutional Encoder Model for Neural Machine Translation

    Jonas Gehring;Michael Auli;David Grangier;Yann N. Dauphin

  • Neural Text Generation from Structured Data with Application to the Biography Domain

    Rémi Lebret;David Grangier;Michael Auli

  • XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

    Arun Babu;Changhan Wang;Andros Tjandra;Kushal Lakhotia

  • vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

    Alexei Baevski;Steffen Schneider;Michael Auli

  • Facebook FAIR’s WMT19 News Translation Task Submission

    Nathan Ng;Kyra Yee;Alexei Baevski;Myle Ott

Frequent Co-Authors

David Grangier
David Grangier Google (United States)
Myle Ott
Myle Ott Facebook (United States)
Marc'Aurelio Ranzato
Marc'Aurelio Ranzato DeepMind (United Kingdom)
Yann N. Dauphin
Yann N. Dauphin Google (United States)
Alexis Conneau
Alexis Conneau Facebook (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Michel Galley
Michel Galley Microsoft (United States)
Ronan Collobert
Ronan Collobert Facebook (United States)
Chris Brockett
Chris Brockett Microsoft (United States)
Margaret Mitchell
Margaret Mitchell Hugging Face

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