SVMTorch: Support Vector Machines for Large-Scale Regression Problems. - Ronan Collobert; Samy Bengio (J. Mach. Learn. Res., 2001)

A Parallel Mixture of SVMs for Very Large Scale Problems. - Ronan Collobert; Samy Bengio; Yoshua Bengio (Neural Comput., 2002)

Speech & face based biometric authentication at IDIAP. - Conrad Sanderson; Samy Bengio; Hervé Bourlard; Johnny Mariéthoz; Ronan Collobert; Mohamed Faouzi BenZeghiba; Fabien Cardinaux; Sébastien Marcel (ICME, 2003)

Scaling Large Learning Problems with Hard Parallel Mixtures. - Ronan Collobert; Yoshua Bengio; Samy Bengio (Int. J. Pattern Recognit. Artif. Intell., 2003)

A gentle Hessian for efficient gradient descent. - Ronan Collobert; Samy Bengio (ICASSP (5), 2004)

Links between perceptrons, MLPs and SVMs. - Ronan Collobert; Samy Bengio (ICML, 2004)

Trading convexity for scalability. - Ronan Collobert; Fabian H. Sinz; Jason Weston; Léon Bottou (ICML, 2006)

Inference with the Universum. - Jason Weston; Ronan Collobert; Fabian H. Sinz; Léon Bottou; Vladimir Vapnik (ICML, 2006)

Large Scale Transductive SVMs. - Ronan Collobert; Fabian H. Sinz; Jason Weston; Léon Bottou (J. Mach. Learn. Res., 2006)

Fast Semantic Extraction Using a Novel Neural Network Architecture. - Ronan Collobert; Jason Weston (ACL, 2007)

A unified architecture for natural language processing: deep neural networks with multitask learning. - Ronan Collobert; Jason Weston (ICML, 2008)

Large scale manifold transduction. - Michael Karlen; Jason Weston; Ayse Erkan; Ronan Collobert (ICML, 2008)

Deep learning via semi-supervised embedding. - Jason Weston; Frédéric Ratle; Ronan Collobert (ICML, 2008)

Supervised semantic indexing. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Olivier Chapelle; Kilian Q. Weinberger (CIKM, 2009)

Combining labeled and unlabeled data with word-class distribution learning. - Yanjun Qi; Ronan Collobert; Pavel P. Kuksa; Koray Kavukcuoglu; Jason Weston (CIKM, 2009)

Supervised Semantic Indexing. - Bing Bai; Jason Weston; Ronan Collobert; David Grangier (ECIR, 2009)

Semi-Supervised Sequence Labeling with Self-Learned Features. - Yanjun Qi; Pavel P. Kuksa; Ronan Collobert; Kunihiko Sadamasa; Koray Kavukcuoglu; Jason Weston (ICDM, 2009)

Curriculum learning. - Yoshua Bengio; Jérôme Louradour; Ronan Collobert; Jason Weston (ICML, 2009)

Deep learning from temporal coherence in video. - Hossein Mobahi; Ronan Collobert; Jason Weston (ICML, 2009)

Polynomial Semantic Indexing. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Corinna Cortes; Mehryar Mohri (NIPS, 2009)

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 001; Xia Ning (ECML/PKDD (2), 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)

Half Transductive Ranking. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Corinna Cortes; Mehryar Mohri (AISTATS, 2010)

Towards Understanding Situated Natural Language. - Antoine Bordes; Nicolas Usunier; Ronan Collobert; Jason Weston (AISTATS, 2010)

Learning Structured Embeddings of Knowledge Bases. - Antoine Bordes; Jason Weston; Ronan Collobert; Yoshua Bengio (AAAI, 2011)

Deep Learning for Efficient Discriminative Parsing. - Ronan Collobert (AISTATS, 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)

Implementing Neural Networks Efficiently. - Ronan Collobert; Koray Kavukcuoglu; Clément Farabet (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Deep Learning via Semi-supervised Embedding. - Jason Weston; Frédéric Ratle; Hossein Mobahi; Ronan Collobert (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks. - Dimitri Palaz; Ronan Collobert; Mathew Magimai-Doss (INTERSPEECH, 2013)

End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks. - Dimitri Palaz; Ronan Collobert; Mathew Magimai-Doss (CoRR, 2013)

Recurrent Convolutional Neural Networks for Scene Parsing. - Pedro H. O. Pinheiro; Ronan Collobert (CoRR, 2013)

Word Embeddings through Hellinger PCA. - Rémi Lebret; Ronan Collobert (EACL, 2014)

Deep Learning for Character-Based Information Extraction. - Yanjun Qi; Sujatha G. Das; Ronan Collobert; Jason Weston (ECIR, 2014)

Joint phoneme segmentation inference and classification using CRFs. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (GlobalSIP, 2014)

Recurrent Convolutional Neural Networks for Scene Labeling. - Pedro H. O. Pinheiro; Ronan Collobert (ICML, 2014)

Recurrent Greedy Parsing with Neural Networks. - Joël Legrand; Ronan Collobert (ECML/PKDD (2), 2014)

Weakly Supervised Semantic Segmentation with Convolutional Networks. - Pedro H. O. Pinheiro; Ronan Collobert (CoRR, 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)

Introduction to the special issue on learning semantics. - Antoine Bordes; Léon Bottou; Ronan Collobert; Dan Roth 001; Jason Weston; Luke Zettlemoyer (Mach. Learn., 2014)

Rehabilitation of Count-Based Models for Word Vector Representations. - Rémi Lebret; Ronan Collobert (CICLing (1), 2015)

From image-level to pixel-level labeling with Convolutional Networks. - Pedro H. O. Pinheiro; Ronan Collobert (CVPR, 2015)

Convolutional Neural Networks-based continuous speech recognition using raw speech signal. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (ICASSP, 2015)

Phrase-based Image Captioning. - Rémi Lebret; Pedro H. O. Pinheiro; Ronan Collobert (ICML, 2015)

Analysis of CNN-based speech recognition system using raw speech as input. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (INTERSPEECH, 2015)

Learning to Segment Object Candidates. - Pedro H. O. Pinheiro; Ronan Collobert; Piotr Dollár (NIPS, 2015)

N-gram-Based Low-Dimensional Representation for Document Classification. - Rémi Lebret; Ronan Collobert (ICLR (Workshop), 2015)

"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders. - Rémi Lebret; Ronan Collobert (CoRR, 2015)

Simple Image Description Generator via a Linear Phrase-Based Approach. - Rémi Lebret; Pedro H. O. Pinheiro; Ronan Collobert (ICLR (Workshop), 2015)

Joint RNN-Based Greedy Parsing and Word Composition. - Joël Legrand; Ronan Collobert (ICLR (Poster), 2015)

Learning linearly separable features for speech recognition using convolutional neural networks. - Dimitri Palaz; Mathew Magimai-Doss; Ronan Collobert (ICLR (Workshop), 2015)

Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages. - Joël Legrand; Ronan Collobert (ACL (2), 2016)

ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks. - Chen Sun 002; Manohar Paluri; Ronan Collobert; Ram Nevatia; Lubomir D. Bourdev (CVPR, 2016)

Learning to Refine Object Segments. - Pedro Oliveira Pinheiro; Tsung-Yi Lin; Ronan Collobert; Piotr Dollár (ECCV (1), 2016)

Jointly Learning to Locate and Classify Words Using Convolutional Networks. - Dimitri Palaz; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2016)

Phrase Representations for Multiword Expressions. - Joël Legrand; Ronan Collobert (MWE@ACL, 2016)

Neural Network-based Word Alignment through Score Aggregation. - Joël Legrand; Michael Auli; Ronan Collobert (WMT, 2016)

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System. - Ronan Collobert; Christian Puhrsch; Gabriel Synnaeve (CoRR, 2016)

Letter-Based Speech Recognition with Gated ConvNets. - Vitaliy Liptchinsky; Gabriel Synnaeve; Ronan Collobert (CoRR, 2017)

End-to-End Speech Recognition from the Raw Waveform. - Neil Zeghidour; Nicolas Usunier; Gabriel Synnaeve; Ronan Collobert; Emmanuel Dupoux (INTERSPEECH, 2018)

Fully Convolutional Speech Recognition. - Neil Zeghidour; Qiantong Xu; Vitaliy Liptchinsky; Nicolas Usunier; Gabriel Synnaeve; Ronan Collobert (CoRR, 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)

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 (ICASSP, 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 (ICASSP, 2019)

A fully differentiable beam search decoder. - Ronan Collobert; Awni Y. Hannun; Gabriel Synnaeve (ICML, 2019)

Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. - Awni Y. Hannun; Ann Lee 001; Qiantong Xu; Ronan Collobert (INTERSPEECH, 2019)

Who Needs Words? Lexicon-Free Speech Recognition. - Tatiana Likhomanenko; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2019)

wav2vec: Unsupervised Pre-Training for Speech Recognition. - Steffen Schneider 001; Alexei Baevski; Ronan Collobert; Michael Auli (INTERSPEECH, 2019)

Word-level Speech Recognition with a Dynamic Lexicon. - Ronan Collobert; Awni Y. Hannun; Gabriel Synnaeve (CoRR, 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)

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)

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; et al. (ICASSP, 2020)

Word-Level Speech Recognition With a Letter to Word Encoder. - Ronan Collobert; Awni Y. Hannun; Gabriel Synnaeve (ICML, 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 (INTERSPEECH, 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 (INTERSPEECH, 2020)

MLS: A Large-Scale Multilingual Dataset for Speech Research. - Vineel Pratap; Qiantong Xu; Anuroop Sriram; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Iterative Pseudo-Labeling for Speech Recognition. - Qiantong Xu; Tatiana Likhomanenko; Jacob Kahn; Awni Y. Hannun; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Multi-scale Transformer Language Models. - Sandeep Subramanian; Ronan Collobert; Marc'Aurelio Ranzato; Y-Lan Boureau (CoRR, 2020)

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 (ASRU, 2021)

Joint Masked CPC And CTC Training For ASR. - Chaitanya Talnikar; Tatiana Likhomanenko; Ronan Collobert; Gabriel Synnaeve (ICASSP, 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 (ICASSP, 2021)

Unsupervised Cross-Lingual Representation Learning for Speech Recognition. - Alexis Conneau; Alexei Baevski; Ronan Collobert; Abdelrahman Mohamed; Michael Auli (Interspeech, 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 001; Ronan Collobert; Gabriel Synnaeve; Michael Auli (Interspeech, 2021)

slimIPL: Language-Model-Free Iterative Pseudo-Labeling. - Tatiana Likhomanenko; Qiantong Xu; Jacob Kahn; Gabriel Synnaeve; Ronan Collobert (Interspeech, 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 (Interspeech, 2021)

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. - Tatiana Likhomanenko; Qiantong Xu; Gabriel Synnaeve; Ronan Collobert; Alex Rogozhnikov (NeurIPS, 2021)

Pseudo-Labeling for Massively Multilingual Speech Recognition. - Loren Lugosch; Tatiana Likhomanenko; Gabriel Synnaeve; Ronan Collobert (ICASSP, 2022)

Word Order does not Matter for Speech Recognition. - Vineel Pratap; Qiantong Xu; Tatiana Likhomanenko; Gabriel Synnaeve; Ronan Collobert (ICASSP, 2022)

Continuous Soft Pseudo-Labeling in ASR. - Tatiana Likhomanenko; Ronan Collobert; Navdeep Jaitly; Samy Bengio (ICBINB, 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 001; Edouard Grave; Gilad Avidov; Benoit Steiner; Vitaliy Liptchinsky; et al. (ICML, 2022)

Star Temporal Classification: Sequence Modeling with Partially Labeled Data. - Vineel Pratap; Awni Hannun; Gabriel Synnaeve; Ronan Collobert (NeurIPS, 2022)

Star Temporal Classification: Sequence Classification with Partially Labeled Data. - Vineel Pratap; Awni Y. Hannun; Gabriel Synnaeve; Ronan Collobert (CoRR, 2022)

More Speaking or More Speakers? - Dan Berrebbi; Ronan Collobert; Navdeep Jaitly; Tatiana Likhomanenko (ICASSP, 2023)

Continuous pseudo-labeling from the start. - Dan Berrebbi; Ronan Collobert; Samy Bengio; Navdeep Jaitly; Tatiana Likhomanenko (ICLR, 2023)

Unsupervised ASR via Cross-Lingual Pseudo-Labeling. - Tatiana Likhomanenko; Loren Lugosch; Ronan Collobert (CoRR, 2023)

AV-CPL: Continuous Pseudo-labeling for Audio-Visual Speech Recognition. - Andrew Rouditchenko; Ronan Collobert; Tatiana Likhomanenko (ECCV Workshops (19), 2024)

Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. - Zijin Gu; Tatiana Likhomanenko; He Bai 002; Erik McDermott; Ronan Collobert; Navdeep Jaitly (CoRR, 2024)

No Need to Talk: Asynchronous Mixture of Language Models. - Anastasiia Filippova; Angelos Katharopoulos; David Grangier; Ronan Collobert (ICLR, 2025)