Collobert, Ronan

41 publications

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

ECCVW 2024 AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko

ICLR 2023 Continuous Pseudo-Labeling from the Start Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko

NeurIPSW 2022 Continuous Soft Pseudo-Labeling in ASR Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio

ICML 2022 Flashlight: Enabling Innovation in Tools for Machine Learning Jacob D Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

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

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

ICMLW 2020 End-to-End ASR: From Supervised to Semi-Supervised Learning with Modern Architectures Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Tatiana Likhomanenko, Edouard Grave, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert

ICML 2020 Word-Level Speech Recognition with a Letter to Word Encoder Ronan Collobert, Awni Hannun, Gabriel Synnaeve

ICML 2019 A Fully Differentiable Beam Search Decoder Ronan Collobert, Awni Hannun, Gabriel Synnaeve

ECCV 2016 Learning to Refine Object Segments Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár

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

CVPR 2015 From Image-Level to Pixel-Level Labeling with Convolutional Networks Pedro O. Pinheiro, Ronan Collobert

ICLR 2015 Joint RNN-Based Greedy Parsing and Word Composition Joël Legrand, Ronan Collobert

ICLR 2015 Learning Linearly Separable Features for Speech Recognition Using Convolutional Neural Networks Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert

NeurIPS 2015 Learning to Segment Object Candidates Pedro O O. Pinheiro, Ronan Collobert, Piotr Dollar

ICLR 2015 N-Gram-Based Low-Dimensional Representation for Document Classification Rémi Lebret, Ronan Collobert

ICML 2015 Phrase-Based Image Captioning Remi Lebret, Pedro Pinheiro, Ronan Collobert

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

MLJ 2014 Introduction to the Special Issue on Learning Semantics Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer

ICML 2014 Recurrent Convolutional Neural Networks for Scene Labeling Pedro Pinheiro, Ronan Collobert

ECML-PKDD 2014 Recurrent Greedy Parsing with Neural Networks Joël Legrand, Ronan Collobert

AISTATS 2011 Deep Learning for Efficient Discriminative Parsing Ronan Collobert

AAAI 2011 Learning Structured Embeddings of Knowledge Bases Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio

JMLR 2011 Natural Language Processing (Almost) from Scratch Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa

AISTATS 2010 Half Transductive Ranking Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri

ECML-PKDD 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

AISTATS 2010 Towards Understanding Situated Natural Language Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston

ICML 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

NeurIPS 2009 Polynomial Semantic Indexing Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri

ICML 2008 A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning Ronan Collobert, Jason Weston

ICML 2008 Deep Learning via Semi-Supervised Embedding Jason Weston, Frédéric Ratle, Ronan Collobert

ICML 2008 Large Scale Manifold Transduction Michael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert

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

JMLR 2006 Large Scale Transductive SVMs Ronan Collobert, Fabian Sinz, Jason Weston, Léon Bottou

ICML 2006 Trading Convexity for Scalability Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou

ICML 2004 Links Between Perceptrons, MLPs and SVMs Ronan Collobert, Samy Bengio

NeCo 2002 A Parallel Mixture of SVMs for Very Large Scale Problems Ronan Collobert, Samy Bengio, Yoshua Bengio

NeurIPS 2001 A Parallel Mixture of SVMs for Very Large Scale Problems Ronan Collobert, Samy Bengio, Yoshua Bengio

JMLR 2001 SVMTorch: Support Vector Machines for Large-Scale Regression Problems (Kernel Machines Section) Ronan Collobert, Samy Bengio