Ronan Collobert

According to our database, Ronan Collobert authored at least 98 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

No Need to Talk: Asynchronous Mixture of Language Models.

Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert

CoRR, 2024

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition.

Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly

CoRR, 2024

2023

AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition.

Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko

CoRR, 2023

Unsupervised ASR via Cross-Lingual Pseudo-Labeling.

Tatiana Likhomanenko, Loren Lugosch, Ronan Collobert

CoRR, 2023

Continuous pseudo-labeling from the start.

Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko

Proceedings of the Eleventh International Conference on Learning Representations, 2023

More Speaking or More Speakers?

Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Star Temporal Classification: Sequence Classification with Partially Labeled Data.

Vineel Pratap, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert

CoRR, 2022

Star Temporal Classification: Sequence Modeling with Partially Labeled Data.

Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert

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.

Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the International Conference on Machine Learning, 2022

Continuous Soft Pseudo-Labeling in ASR.

Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

Word Order does not Matter for Speech Recognition.

Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert

Proceedings of the IEEE International Conference on Acoustics, 2022

Pseudo-Labeling for Massively Multilingual Speech Recognition.

Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings.

Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov

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?

Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve

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.

Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert

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.

Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Unsupervised Cross-Lingual Representation Learning for Speech Recognition.

Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

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

Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli

Proceedings of the IEEE International Conference on Acoustics, 2021

Joint Masked CPC And CTC Training For ASR.

Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve

Proceedings of the IEEE International Conference on Acoustics, 2021

Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition.

Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

Multi-scale Transformer Language Models.

Sandeep Subramanian, Ronan Collobert, Marc'Aurelio Ranzato, Y-Lan Boureau

CoRR, 2020

Iterative Pseudo-Labeling for Speech Recognition.

Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

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

Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Scaling Up Online Speech Recognition Using ConvNets.

Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters.

Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Word-Level Speech Recognition With a Letter to Word Encoder.

Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition.

Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert

Speech Commun., 2019

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

Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert

CoRR, 2019

Word-level Speech Recognition with a Dynamic Lexicon.

Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve

CoRR, 2019

wav2vec: Unsupervised Pre-Training for Speech Recognition.

Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Who Needs Words? Lexicon-Free Speech Recognition.

Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions.

Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

A fully differentiable beam search decoder.

Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve

Proceedings of the 36th International Conference on Machine Learning, 2019

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

Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert

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.

Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

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

Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert

CoRR, 2018

Fully Convolutional Speech Recognition.

Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert

CoRR, 2018

End-to-End Speech Recognition from the Raw Waveform.

Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Letter-Based Speech Recognition with Gated ConvNets.

Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

CoRR, 2017

2016

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

Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve

CoRR, 2016

Neural Network-based Word Alignment through Score Aggregation.

Joël Legrand, Michael Auli, Ronan Collobert

Proceedings of the First Conference on Machine Translation, 2016

Phrase Representations for Multiword Expressions.

Joël Legrand, Ronan Collobert

Proceedings of the 12th Workshop on Multiword Expressions, 2016

Jointly Learning to Locate and Classify Words Using Convolutional Networks.

Dimitri Palaz, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Learning to Refine Object Segments.

Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár

Proceedings of the Computer Vision - ECCV 2016, 2016

ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks.

Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages.

Joël Legrand, Ronan Collobert

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Learning linearly separable features for speech recognition using convolutional neural networks.

Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert

Proceedings of the 3rd International Conference on Learning Representations, 2015

Joint RNN-Based Greedy Parsing and Word Composition.

Joël Legrand, Ronan Collobert

Proceedings of the 3rd International Conference on Learning Representations, 2015

Simple Image Description Generator via a Linear Phrase-Based Approach.

Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert

Proceedings of the 3rd International Conference on Learning Representations, 2015

"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders.

Rémi Lebret, Ronan Collobert

CoRR, 2015

N-gram-Based Low-Dimensional Representation for Document Classification.

Rémi Lebret, Ronan Collobert

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning to Segment Object Candidates.

Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Analysis of CNN-based speech recognition system using raw speech as input.

Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Phrase-based Image Captioning.

Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert

Proceedings of the 32nd International Conference on Machine Learning, 2015

Convolutional Neural Networks-based continuous speech recognition using raw speech signal.

Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

From image-level to pixel-level labeling with Convolutional Networks.

Pedro H. O. Pinheiro, Ronan Collobert

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Rehabilitation of Count-Based Models for Word Vector Representations.

Rémi Lebret, Ronan Collobert

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014

Introduction to the special issue on learning semantics.

Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer

Mach. Learn., 2014

Video (language) modeling: a baseline for generative models of natural videos.

Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra

CoRR, 2014

Weakly Supervised Semantic Segmentation with Convolutional Networks.

Pedro H. O. Pinheiro, Ronan Collobert

CoRR, 2014

Recurrent Greedy Parsing with Neural Networks.

Joël Legrand, Ronan Collobert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Recurrent Convolutional Neural Networks for Scene Labeling.

Pedro H. O. Pinheiro, Ronan Collobert

Proceedings of the 31th International Conference on Machine Learning, 2014

Joint phoneme segmentation inference and classification using CRFs.

Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Deep Learning for Character-Based Information Extraction.

Yanjun Qi, Sujatha G. Das, Ronan Collobert, Jason Weston

Proceedings of the Advances in Information Retrieval, 2014

Word Embeddings through Hellinger PCA.

Rémi Lebret, Ronan Collobert

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013

Recurrent Convolutional Neural Networks for Scene Parsing.

Pedro H. O. Pinheiro, Ronan Collobert

CoRR, 2013

End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks.

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss

CoRR, 2013

Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks.

Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2012

Deep Learning via Semi-supervised Embedding.

Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Implementing Neural Networks Efficiently.

Ronan Collobert, Koray Kavukcuoglu, Clément Farabet

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

2011

Natural Language Processing (Almost) from Scratch.

Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa

J. Mach. Learn. Res., 2011

Deep Learning for Efficient Discriminative Parsing.

Ronan Collobert

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Learning Structured Embeddings of Knowledge Bases.

Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Towards Understanding Situated Natural Language.

Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Half Transductive Ranking.

Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Learning to rank with (a lot of) word features.

Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger

Inf. Retr., 2010

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.

Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Polynomial Semantic Indexing.

Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Deep learning from temporal coherence in video.

Hossein Mobahi, Ronan Collobert, Jason Weston

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Curriculum learning.

Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Semi-Supervised Sequence Labeling with Self-Learned Features.

Yanjun Qi, Pavel P. Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston

Proceedings of the ICDM 2009, 2009

Supervised Semantic Indexing.

Bing Bai, Jason Weston, Ronan Collobert, David Grangier

Proceedings of the Advances in Information Retrieval, 2009

Combining labeled and unlabeled data with word-class distribution learning.

Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Supervised semantic indexing.

Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Deep learning via semi-supervised embedding.

Jason Weston, Frédéric Ratle, Ronan Collobert

Proceedings of the Machine Learning, 2008

Large scale manifold transduction.

Michael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert

Proceedings of the Machine Learning, 2008

A unified architecture for natural language processing: deep neural networks with multitask learning.

Ronan Collobert, Jason Weston

Proceedings of the Machine Learning, 2008

2007

Fast Semantic Extraction Using a Novel Neural Network Architecture.

Ronan Collobert, Jason Weston

Proceedings of the ACL 2007, 2007

2006

Large Scale Transductive SVMs.

Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou

J. Mach. Learn. Res., 2006

Inference with the Universum.

Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik

Proceedings of the Machine Learning, 2006

Trading convexity for scalability.

Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou

Proceedings of the Machine Learning, 2006

2004

Links between perceptrons, MLPs and SVMs.

Ronan Collobert, Samy Bengio

Proceedings of the Machine Learning, 2004

A gentle Hessian for efficient gradient descent.

Ronan Collobert, Samy Bengio

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

Scaling Large Learning Problems with Hard Parallel Mixtures.

Ronan Collobert, Yoshua Bengio, Samy Bengio

Int. J. Pattern Recognit. Artif. Intell., 2003

Speech & face based biometric authentication at IDIAP.

Conrad Sanderson, Samy Bengio, Hervé Bourlard, Johnny Mariéthoz, Ronan Collobert, Mohamed Faouzi BenZeghiba, Fabien Cardinaux, Sébastien Marcel

Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002

A Parallel Mixture of SVMs for Very Large Scale Problems.

Ronan Collobert, Samy Bengio, Yoshua Bengio

Neural Comput., 2002

2001

SVMTorch: Support Vector Machines for Large-Scale Regression Problems.

Ronan Collobert, Samy Bengio

J. Mach. Learn. Res., 2001