Ronan Collobert

136 papers A* 22A 24C 1Misc 9Journal 59Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	No Need to Talk: Asynchronous Mixture of Language Models. ICLR Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert
2025	J	`jnl`	Partial Parameter Updates for Efficient Distributed Training. CoRR Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert
2024	—	`conf`	AV-CPL: Continuous Pseudo-labeling for Audio-Visual Speech Recognition. ECCV Workshops (19) Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko
2024	J	`jnl`	Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly
2024	J	`jnl`	No Need to Talk: Asynchronous Mixture of Language Models. CoRR Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert
2023	J	`jnl`	AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition. CoRR Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko
2023	A*	`conf`	Continuous pseudo-labeling from the start. ICLR Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
2023	Misc	`conf`	More Speaking or More Speakers? ICASSP Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko
2023	J	`jnl`	Unsupervised ASR via Cross-Lingual Pseudo-Labeling. CoRR Tatiana Likhomanenko, Loren Lugosch, Ronan Collobert
2022	J	`jnl`	Continuous Pseudo-Labeling from the Start. CoRR Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
2022	—	`conf`	Continuous Soft Pseudo-Labeling in ASR. ICBINB Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
2022	J	`jnl`	Continuous Soft Pseudo-Labeling in ASR. CoRR Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio
2022	A*	`conf`	Flashlight: Enabling Innovation in Tools for Machine Learning. ICML 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
2022	J	`jnl`	Flashlight: Enabling Innovation in Tools for Machine Learning. CoRR Jacob 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
2022	J	`jnl`	More Speaking or More Speakers? CoRR Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko
2022	Misc	`conf`	Pseudo-Labeling for Massively Multilingual Speech Recognition. ICASSP Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
2022	J	`jnl`	Star Temporal Classification: Sequence Classification with Partially Labeled Data. CoRR Vineel Pratap, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert
2022	A*	`conf`	Star Temporal Classification: Sequence Modeling with Partially Labeled Data. NeurIPS Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert
2022	Misc	`conf`	Word Order does not Matter for Speech Recognition. ICASSP Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
2021	A*	`conf`	CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. NeurIPS Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov
2021	J	`jnl`	CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. CoRR Tatiana Likhomanenko, Qiantong Xu, Ronan Collobert, Gabriel Synnaeve, Alex Rogozhnikov
2021	Misc	`conf`	Joint Masked CPC And CTC Training For ASR. ICASSP Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve
2021	C	`conf`	Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition. ASRU Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
2021	J	`jnl`	Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition. CoRR Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
2021	J	`jnl`	Pseudo-Labeling for Massively Multilingual Speech Recognition. CoRR Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
2021	A	`conf`	Rethinking Evaluation in ASR: Are Our Models Robust Enough? Interspeech Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve
2021	A	`conf`	Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. Interspeech Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli
2021	J	`jnl`	Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. CoRR Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli
2021	Misc	`conf`	Self-Training and Pre-Training are Complementary for Speech Recognition. ICASSP Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli
2021	A	`conf`	Unsupervised Cross-Lingual Representation Learning for Speech Recognition. Interspeech Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli
2021	J	`jnl`	Word Order Does Not Matter For Speech Recognition. CoRR Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
2021	A	`conf`	slimIPL: Language-Model-Free Iterative Pseudo-Labeling. Interspeech Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert
2020	A	`conf`	Iterative Pseudo-Labeling for Speech Recognition. INTERSPEECH Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	Iterative Pseudo-Labeling for Speech Recognition. CoRR Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	Joint Masked CPC and CTC Training for ASR. CoRR Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve
2020	Misc	`conf`	Libri-Light: A Benchmark for ASR with Limited or No Supervision. ICASSP 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
2020	A	`conf`	MLS: A Large-Scale Multilingual Dataset for Speech Research. INTERSPEECH Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	MLS: A Large-Scale Multilingual Dataset for Speech Research. CoRR Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert
2020	A	`conf`	Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. INTERSPEECH Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. CoRR Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	Multi-scale Transformer Language Models. CoRR Sandeep Subramanian, Ronan Collobert, Marc'Aurelio Ranzato, Y-Lan Boureau
2020	J	`jnl`	Rethinking Evaluation in ASR: Are Our Models Robust Enough? CoRR Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve
2020	A	`conf`	Scaling Up Online Speech Recognition Using ConvNets. INTERSPEECH Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	Scaling Up Online Speech Recognition Using ConvNets. CoRR Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
2020	J	`jnl`	Self-training and Pre-training are Complementary for Speech Recognition. CoRR Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli
2020	J	`jnl`	Unsupervised Cross-lingual Representation Learning for Speech Recognition. CoRR Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli
2020	A*	`conf`	Word-Level Speech Recognition With a Letter to Word Encoder. ICML Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve
2020	J	`jnl`	slimIPL: Language-Model-Free Iterative Pseudo-Labeling. CoRR Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert
2019	J	`jnl`	A Fully Differentiable Beam Search Decoder. CoRR Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve
2019	A*	`conf`	A fully differentiable beam search decoder. ICML Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve
2019	J	`jnl`	End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert
2019	J	`jnl`	End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition. Speech Commun. Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
2019	J	`jnl`	Libri-Light: A Benchmark for ASR with Limited or No Supervision. CoRR 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
2019	A	`conf`	Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. INTERSPEECH Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert
2019	J	`jnl`	Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. CoRR Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert
2019	Misc	`conf`	To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. ICASSP Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve
2019	Misc	`conf`	Wav2Letter++: A Fast Open-source Speech Recognition System. ICASSP Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert
2019	A	`conf`	Who Needs Words? Lexicon-Free Speech Recognition. INTERSPEECH Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
2019	J	`jnl`	Who Needs Words? Lexicon-Free Speech Recognition. CoRR Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
2019	J	`jnl`	Word-level Speech Recognition with a Dynamic Lexicon. CoRR Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve
2019	A	`conf`	wav2vec: Unsupervised Pre-Training for Speech Recognition. INTERSPEECH Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
2019	J	`jnl`	wav2vec: Unsupervised Pre-training for Speech Recognition. CoRR Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
2018	J	`jnl`	End-to-End Speech Recognition From the Raw Waveform. CoRR Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux
2018	A	`conf`	End-to-End Speech Recognition from the Raw Waveform. INTERSPEECH Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux
2018	J	`jnl`	Fully Convolutional Speech Recognition. CoRR Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert
2018	J	`jnl`	To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. CoRR Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve
2018	J	`jnl`	wav2letter++: The Fastest Open-source Speech Recognition System. CoRR Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert
2017	J	`jnl`	Letter-Based Speech Recognition with Gated ConvNets. CoRR Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert
2016	—	`conf`	Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages. ACL (2) Joël Legrand, Ronan Collobert
2016	A	`conf`	Jointly Learning to Locate and Classify Words Using Convolutional Networks. INTERSPEECH Dimitri Palaz, Gabriel Synnaeve, Ronan Collobert
2016	—	`conf`	Learning to Refine Object Segments. ECCV (1) Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
2016	J	`jnl`	Learning to Refine Object Segments. CoRR Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár
2016	—	`conf`	Neural Network-based Word Alignment through Score Aggregation. WMT Joël Legrand, Michael Auli, Ronan Collobert
2016	J	`jnl`	Neural Network-based Word Alignment through Score Aggregation. CoRR Joël Legrand, Michael Auli, Ronan Collobert
2016	—	`conf`	Phrase Representations for Multiword Expressions. MWE@ACL Joël Legrand, Ronan Collobert
2016	A*	`conf`	ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks. CVPR Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev
2016	J	`jnl`	Wav2Letter: an End-to-End ConvNet-based Speech Recognition System. CoRR Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve
2015	J	`jnl`	"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders. CoRR Rémi Lebret, Ronan Collobert
2015	A	`conf`	Analysis of CNN-based speech recognition system using raw speech as input. INTERSPEECH Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
2015	Misc	`conf`	Convolutional Neural Networks-based continuous speech recognition using raw speech signal. ICASSP Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
2015	A*	`conf`	From image-level to pixel-level labeling with Convolutional Networks. CVPR Pedro H. O. Pinheiro, Ronan Collobert
2015	—	`conf`	Joint RNN-Based Greedy Parsing and Word Composition. ICLR (Poster) Joël Legrand, Ronan Collobert
2015	—	`conf`	Learning linearly separable features for speech recognition using convolutional neural networks. ICLR (Workshop) Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
2015	—	`conf`	Learning to Segment Object Candidates. NIPS Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár
2015	J	`jnl`	Learning to Segment Object Candidates. CoRR Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár
2015	—	`conf`	N-gram-Based Low-Dimensional Representation for Document Classification. ICLR (Workshop) Rémi Lebret, Ronan Collobert
2015	A*	`conf`	Phrase-based Image Captioning. ICML Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert
2015	J	`jnl`	Phrase-based Image Captioning. CoRR Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert
2015	J	`jnl`	ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks. CoRR Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev
2015	—	`conf`	Rehabilitation of Count-Based Models for Word Vector Representations. CICLing (1) Rémi Lebret, Ronan Collobert
2015	—	`conf`	Simple Image Description Generator via a Linear Phrase-Based Approach. ICLR (Workshop) Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert
2014	A	`conf`	Deep Learning for Character-Based Information Extraction. ECIR Yanjun Qi, Sujatha G. Das, Ronan Collobert, Jason Weston
2014	J	`jnl`	Introduction to the special issue on learning semantics. Mach. Learn. Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer
2014	—	`conf`	Joint phoneme segmentation inference and classification using CRFs. GlobalSIP Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert
2014	A*	`conf`	Recurrent Convolutional Neural Networks for Scene Labeling. ICML Pedro H. O. Pinheiro, Ronan Collobert
2014	—	`conf`	Recurrent Greedy Parsing with Neural Networks. ECML/PKDD (2) Joël Legrand, Ronan Collobert
2014	J	`jnl`	Rehabilitation of Count-based Models for Word Vector Representations. CoRR Rémi Lebret, Ronan Collobert
2014	J	`jnl`	Video (language) modeling: a baseline for generative models of natural videos. CoRR Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra
2014	J	`jnl`	Weakly Supervised Semantic Segmentation with Convolutional Networks. CoRR Pedro H. O. Pinheiro, Ronan Collobert
2014	A	`conf`	Word Embeddings through Hellinger PCA. EACL Rémi Lebret, Ronan Collobert
2013	J	`jnl`	End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks. CoRR Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss
2013	J	`jnl`	Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks CoRR Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss
2013	A	`conf`	Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks. INTERSPEECH Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss
2013	J	`jnl`	Recurrent Convolutional Neural Networks for Scene Parsing. CoRR Pedro H. O. Pinheiro, Ronan Collobert
2012	—	`ch.`	Deep Learning via Semi-supervised Embedding. Neural Networks: Tricks of the Trade (2nd ed.) Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert
2012	—	`ch.`	Implementing Neural Networks Efficiently. Neural Networks: Tricks of the Trade (2nd ed.) Ronan Collobert, Koray Kavukcuoglu, Clément Farabet
2011	A	`conf`	Deep Learning for Efficient Discriminative Parsing. AISTATS Ronan Collobert
2011	A*	`conf`	Learning Structured Embeddings of Knowledge Bases. AAAI Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio
2011	J	`jnl`	Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa
2011	J	`jnl`	Natural Language Processing (almost) from Scratch CoRR Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa
2010	A	`conf`	Half Transductive Ranking. AISTATS Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri
2010	J	`jnl`	Learning to rank with (a lot of) word features. Inf. Retr. Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2010	—	`conf`	Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. ECML/PKDD (2) Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning
2010	A	`conf`	Towards Understanding Situated Natural Language. AISTATS Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston
2009	A	`conf`	Combining labeled and unlabeled data with word-class distribution learning. CIKM Yanjun Qi, Ronan Collobert, Pavel P. Kuksa, Koray Kavukcuoglu, Jason Weston
2009	A*	`conf`	Curriculum learning. ICML Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston
2009	A*	`conf`	Deep learning from temporal coherence in video. ICML Hossein Mobahi, Ronan Collobert, Jason Weston
2009	—	`conf`	Polynomial Semantic Indexing. NIPS Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri
2009	A*	`conf`	Semi-Supervised Sequence Labeling with Self-Learned Features. ICDM Yanjun Qi, Pavel P. Kuksa, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston
2009	A	`conf`	Supervised Semantic Indexing. ECIR Bing Bai, Jason Weston, Ronan Collobert, David Grangier
2009	A	`conf`	Supervised semantic indexing. CIKM Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger
2008	A*	`conf`	A unified architecture for natural language processing: deep neural networks with multitask learning. ICML Ronan Collobert, Jason Weston
2008	A*	`conf`	Deep learning via semi-supervised embedding. ICML Jason Weston, Frédéric Ratle, Ronan Collobert
2008	A*	`conf`	Large scale manifold transduction. ICML Michael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert
2007	A*	`conf`	Fast Semantic Extraction Using a Novel Neural Network Architecture. ACL Ronan Collobert, Jason Weston
2006	A*	`conf`	Inference with the Universum. ICML Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik
2006	J	`jnl`	Large Scale Transductive SVMs. J. Mach. Learn. Res. Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
2006	A*	`conf`	Trading convexity for scalability. ICML Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
2004	—	`conf`	A gentle Hessian for efficient gradient descent. ICASSP (5) Ronan Collobert, Samy Bengio
2004	A*	`conf`	Links between perceptrons, MLPs and SVMs. ICML Ronan Collobert, Samy Bengio
2003	J	`jnl`	Scaling Large Learning Problems with Hard Parallel Mixtures. Int. J. Pattern Recognit. Artif. Intell. Ronan Collobert, Yoshua Bengio, Samy Bengio
2003	A	`conf`	Speech & face based biometric authentication at IDIAP. ICME Conrad Sanderson, Samy Bengio, Hervé Bourlard, Johnny Mariéthoz, Ronan Collobert, Mohamed Faouzi BenZeghiba, Fabien Cardinaux, Sébastien Marcel
2002	J	`jnl`	A Parallel Mixture of SVMs for Very Large Scale Problems. Neural Comput. Ronan Collobert, Samy Bengio, Yoshua Bengio
2002	—	`conf`	Scaling Large Learning Problems with Hard Parallel Mixtures. SVM Ronan Collobert, Yoshua Bengio, Samy Bengio
2001	—	`conf`	A Parallel Mixture of SVMs for Very Large Scale Problems. NIPS Ronan Collobert, Samy Bengio, Yoshua Bengio
2001	J	`jnl`	SVMTorch: Support Vector Machines for Large-Scale Regression Problems. J. Mach. Learn. Res. Ronan Collobert, Samy Bengio