Gabriel Synnaeve

Orcid: 0000-0003-1715-3356

According to our database1, Gabriel Synnaeve authored at least 113 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Better & Faster Large Language Models via Multi-token Prediction.
CoRR, 2024

SpiRit-LM: Interleaved Spoken and Written Language Model.
CoRR, 2024

Getting the most out of your tokenizer for pre-training and domain adaptation.
CoRR, 2024

Masked Audio Generation using a Single Non-Autoregressive Transformer.
CoRR, 2024

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.
CoRR, 2024

Priority Sampling of Large Language Models for Compilers.
Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Leveraging Demonstrations with Latent Space Priors.
Trans. Mach. Learn. Res., 2023

Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models.
CoRR, 2023

Large Language Models for Compiler Optimization.
CoRR, 2023

Code Llama: Open Foundation Models for Code.
CoRR, 2023

Leveraging Static Analysis for Bug Repair.
CoRR, 2023

DINOv2: Learning Robust Visual Features without Supervision.
CoRR, 2023

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Textually Pretrained Speech Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simple and Controllable Music Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling.
Proceedings of the 20th International Conference on Spoken Language Translation, 2023

Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Code Translation with Compiler Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

AudioGen: Textually Guided Audio Generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generative Spoken Language Model based on continuous word-sized audio tokens.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Data Source for Reasoning Embodied Agents.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Differentiable Model Compression via Pseudo Quantization Noise.
Trans. Mach. Learn. Res., 2022

Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning.
CoRR, 2022

Audio Language Modeling using Perceptually-Guided Discrete Representations.
CoRR, 2022

High Fidelity Neural Audio Compression.
CoRR, 2022

On The Robustness of Self-Supervised Representations for Spoken Language Modeling.
CoRR, 2022

Star Temporal Classification: Sequence Classification with Partially Labeled Data.
CoRR, 2022

Star Temporal Classification: Sequence Modeling with Partially Labeled Data.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flashlight: Enabling Innovation in Tools for Machine Learning.
Proceedings of the International Conference on Machine Learning, 2022

Gradient Matching for Domain Generalization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Leveraging Automated Unit Tests for Unsupervised Code Translation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Word Order does not Matter for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Pseudo-Labeling for Massively Multilingual Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Augmenting Convolutional networks with attention-based aggregation.
CoRR, 2021

ASR4REAL: An extended benchmark for speech models.
CoRR, 2021

XCiT: Cross-Covariance Image Transformers.
CoRR, 2021

ResMLP: Feedforward networks for image classification with data-efficient training.
CoRR, 2021

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Semi-Supervised end-to-end Speech Recognition via Local Prior Matching.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hierarchical Skills for Efficient Exploration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

XCiT: Cross-Covariance Image Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rethinking Evaluation in ASR: Are Our Models Robust Enough?
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

slimIPL: Language-Model-Free Iterative Pseudo-Labeling.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Going deeper with Image Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Training and Pre-Training are Complementary for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Joint Masked CPC And CTC Training For ASR.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Polygames: Improved zero learning.
J. Int. Comput. Games Assoc., 2020

Population Based Training for Data Augmentation and Regularization in Speech Recognition.
CoRR, 2020

Semi-Supervised Speech Recognition via Local Prior Matching.
CoRR, 2020

Iterative Pseudo-Labeling for Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

MLS: A Large-Scale Multilingual Dataset for Speech Research.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Scaling Up Online Speech Recognition Using ConvNets.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Real Time Speech Enhancement in the Waveform Domain.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Growing Action Spaces.
Proceedings of the 37th International Conference on Machine Learning, 2020

Word-Level Speech Recognition With a Letter to Word Encoder.
Proceedings of the 37th International Conference on Machine Learning, 2020

DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Libri-Light: A Benchmark for ASR with Limited or No Supervision.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

End-to-End Object Detection with Transformers.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
RTS AI Problems and Techniques.
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

StarCraft Bots and Competitions.
Proceedings of the Encyclopedia of Computer Graphics and Games., 2019

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures.
CoRR, 2019

Deja-vu: Double Feature Presentation in Deep Transformer Networks.
CoRR, 2019

Why Build an Assistant in Minecraft?
CoRR, 2019

Word-level Speech Recognition with a Dynamic Lexicon.
CoRR, 2019

A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Who Needs Words? Lexicon-Free Speech Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

A fully differentiable beam search decoder.
Proceedings of the 36th International Conference on Machine Learning, 2019

Value Propagation Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Wav2Letter++: A Fast Open-source Speech Recognition System.
Proceedings of the IEEE International Conference on Acoustics, 2019

To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
wav2letter++: The Fastest Open-source Speech Recognition System.
CoRR, 2018

Fully Convolutional Speech Recognition.
CoRR, 2018

High-Level Strategy Selection under Partial Observability in StarCraft: Brood War.
CoRR, 2018

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Speech Recognition from the Raw Waveform.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Filterbanks from Raw Speech for Phone Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Letter-Based Speech Recognition with Gated ConvNets.
CoRR, 2017

Episodic Exploration for Deep Deterministic Policies for StarCraft Micromanagement.
Proceedings of the 5th International Conference on Learning Representations, 2017

STARDATA: A StarCraft AI Research Dataset.
Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

An Analysis of Model-Based Heuristic Search Techniques for StarCraft Combat Scenarios.
Proceedings of the Workshops of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2017

2016
Multiscale Bayesian Modeling for RTS Games: An Application to StarCraft AI.
IEEE Trans. Comput. Intell. AI Games, 2016

Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks.
CoRR, 2016

TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games.
CoRR, 2016

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System.
CoRR, 2016

A Temporal Coherence Loss Function for Learning Unsupervised Acoustic Embeddings.
Proceedings of the SLTU-2016, 2016

Joint Learning of Speaker and Phonetic Similarities with Siamese Networks.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Jointly Learning to Locate and Classify Words Using Convolutional Networks.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

A deep scattering spectrum - Deep Siamese network pipeline for unsupervised acoustic modeling.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Weakly Supervised Multi-Embeddings Learning of Acoustic Models.
Proceedings of the 3rd International Conference on Learning Representations, 2015

MazeBase: A Sandbox for Learning from Games.
CoRR, 2015

Prosodic boundary information helps unsupervised word segmentation.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Quantitative methods for comparing featural representations.
Proceedings of the 18th International Congress of Phonetic Sciences, 2015

2014
Phonetics embedding learning with side information.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Unsupervised Word Segmentation in Context.
Proceedings of the COLING 2014, 2014

2013
A Survey of Real-Time Strategy Game AI Research and Competition in StarCraft.
IEEE Trans. Comput. Intell. AI Games, 2013

2012
Programmation et apprentissage bayésien pour les jeux vidéo multi-joueurs, application à l'intelligence artificielle de jeux de stratégies temps-réel. (Bayesian Programming and Learning for Multi-Player Video Games, Application to RTS AI).
PhD thesis, 2012

A Dataset for StarCraft AI & an Example of Armies Clustering
CoRR, 2012

Special tactics: A Bayesian approach to tactical decision-making.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2011
A Bayesian model for opening prediction in RTS games with application to StarCraft.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

A Bayesian model for RTS units control applied to StarCraft.
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011

Discretized Kinetic Models for Abductive Reasoning in Systems Biology.
Proceedings of the Biomedical Engineering Systems and Technologies, 2011

Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology.
Proceedings of the BIOINFORMATICS 2011, 2011

A Bayesian Model for Plan Recognition in RTS Games Applied to StarCraft.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

2010
Bayesian Modeling of a Human MMORPG Player
CoRR, 2010

Main Pathway Discovery in Metabolic Pathways.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2010


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