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Computer Science

D-Index
44
Citations
22935
World Ranking
7353
National Ranking
3202

Overview

Gabriel Synnaeve is a researcher affiliated with Facebook in the United States. Their work spans a variety of topics primarily within computer science, with significant contributions to artificial intelligence, signal processing, and computer vision and pattern recognition.

Their recent publications include the following papers:

  • DINOv2: Learning Robust Visual Features without Supervision (2023), published in arXiv (Cornell University)
  • End-to-End Object Detection with Transformers (2020), published in Lecture notes in computer science
  • ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • MDETR - Modulated Detection for End-to-End Multi-Modal Understanding (2021), published in 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Code Llama: Open Foundation Models for Code (2023), published in arXiv (Cornell University)

Frequent coauthors of Gabriel Synnaeve include:

  • Yossi Adi
  • Jade Copet
  • Ronan Collobert
  • Tatiana Likhomanenko
  • Baptiste Rozière

Gabriel Synnaeve has frequently published in several venues, including:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Lecture notes in computer science

The main fields of study encompassed by Gabriel Synnaeve's work include:

  • Computer Science

Within this broad field, subfields of focus comprise:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Software
  • Information Systems

The principal topics central to their research are:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Topic Modeling
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications

Best Publications

  • End-to-End Object Detection with Transformers

    Nicolas Carion;Francisco Massa;Gabriel Synnaeve;Nicolas Usunier

  • DINOv2: Learning Robust Visual Features without Supervision

    Unknown

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

    Hugo Touvron;Piotr Bojanowski;Mathilde Caron;Matthieu Cord

  • MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding

    Aishwarya Kamath;Mannat Singh;Yann LeCun;Ishan Misra

  • Code Llama: Open Foundation Models for Code

    Unknown

  • A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft

    Santiago Ontanon;Gabriel Synnaeve;Alberto Uriarte;Florian Richoux

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

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

  • High Fidelity Neural Audio Compression

    Unknown

  • Real Time Speech Enhancement in the Waveform Domain.

    Alexandre Défossez;Gabriel Synnaeve;Yossi Adi

  • Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

    Ronan Collobert;Christian Puhrsch;Gabriel Synnaeve

  • MLS: A Large-Scale Multilingual Dataset for Speech Research.

    Vineel Pratap;Qiantong Xu;Anuroop Sriram;Gabriel Synnaeve

  • XCiT: Cross-Covariance Image Transformers.

    Alaaeldin El-Nouby;Hugo Touvron;Mathilde Caron;Piotr Bojanowski

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

    Gabriel Synnaeve;Qiantong Xu;Jacob Kahn;Edouard Grave

  • Intrinsic motivation and automatic curricula via asymmetric self-play

    Sainbayar Sukhbaatar;Zeming Lin;Ilya Kostrikov;Gabriel Synnaeve

  • Wav2Letter++: A Fast Open-source Speech Recognition System

    Vineel Pratap;Awni Hannun;Qiantong Xu;Jeff Cai

  • Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

    Wei-Ning Hsu;Anuroop Sriram;Alexei Baevski;Tatiana Likhomanenko

  • Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks

    Nicolas Usunier;Gabriel Synnaeve;Zeming Lin;Soumith Chintala

  • AudioGen: Textually Guided Audio Generation

    Unknown

  • A Bayesian model for opening prediction in RTS games with application to StarCraft

    Gabriel Synnaeve;Pierre Bessiere

  • Self-Training and Pre-Training are Complementary for Speech Recognition

    Qiantong Xu;Alexei Baevski;Tatiana Likhomanenko;Paden Tomasello

  • Going deeper with Image Transformers

    Hugo Touvron;Matthieu Cord;Alexandre Sablayrolles;Gabriel Synnaeve

  • Fully Convolutional Speech Recognition.

    Neil Zeghidour;Qiantong Xu;Vitaliy Liptchinsky;Nicolas Usunier

  • Learning Filterbanks from Raw Speech for Phone Recognition

    Neil Zeghidour;Nicolas Usunier;Iasonas Kokkinos;Thomas Schaiz

  • Learning Filterbanks from Raw Speech for Phone Recognition

    Neil Zeghidour;Nicolas Usunier;Iasonas Kokkinos;Thomas Schatz

Frequent Co-Authors

Ronan Collobert
Ronan Collobert Facebook (United States)
Nicolas Usunier
Nicolas Usunier Facebook (United States)
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Pierre Bessière
Pierre Bessière Collège de France
Armand Joulin
Armand Joulin Google (United States)
Hervé Jégou
Hervé Jégou Facebook (United States)
Arthur Szlam
Arthur Szlam DeepMind (United Kingdom)
Michael Auli
Michael Auli Facebook (United States)
Matthijs Douze
Matthijs Douze Facebook (United States)
Piotr Bojanowski
Piotr Bojanowski Facebook (United States)

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