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Ronan Collobert
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2020 – today
- 2024
- [i49]Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly:
Denoising LM: Pushing the Limits of Error Correction Models for Speech Recognition. CoRR abs/2405.15216 (2024) - 2023
- [c73]Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? ICASSP 2023: 1-5 - [c72]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous pseudo-labeling from the start. ICLR 2023 - [i48]Tatiana Likhomanenko, Loren Lugosch, Ronan Collobert:
Unsupervised ASR via Cross-Lingual Pseudo-Labeling. CoRR abs/2305.13330 (2023) - [i47]Andrew Rouditchenko, Ronan Collobert, Tatiana Likhomanenko:
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition. CoRR abs/2309.17395 (2023) - 2022
- [c71]Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Word Order does not Matter for Speech Recognition. ICASSP 2022: 7202-7206 - [c70]Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. ICASSP 2022: 7687-7691 - [c69]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. ICBINB 2022: 66-84 - [c68]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:
Flashlight: Enabling Innovation in Tools for Machine Learning. ICML 2022: 10557-10574 - [c67]Vineel Pratap, Awni Hannun, Gabriel Synnaeve, Ronan Collobert:
Star Temporal Classification: Sequence Modeling with Partially Labeled Data. NeurIPS 2022 - [i46]Vineel Pratap, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Star Temporal Classification: Sequence Classification with Partially Labeled Data. CoRR abs/2201.12208 (2022) - [i45]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:
Flashlight: Enabling Innovation in Tools for Machine Learning. CoRR abs/2201.12465 (2022) - [i44]Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko:
Continuous Pseudo-Labeling from the Start. CoRR abs/2210.08711 (2022) - [i43]Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? CoRR abs/2211.00854 (2022) - [i42]Tatiana Likhomanenko, Ronan Collobert, Navdeep Jaitly, Samy Bengio:
Continuous Soft Pseudo-Labeling in ASR. CoRR abs/2211.06007 (2022) - 2021
- [c66]Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Kaizen: Continuously Improving Teacher Using Exponential Moving Average for Semi-Supervised Speech Recognition. ASRU 2021: 518-525 - [c65]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-Training and Pre-Training are Complementary for Speech Recognition. ICASSP 2021: 3030-3034 - [c64]Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC And CTC Training For ASR. ICASSP 2021: 3045-3049 - [c63]Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve:
Rethinking Evaluation in ASR: Are Our Models Robust Enough? Interspeech 2021: 311-315 - [c62]Wei-Ning Hsu, Anuroop Sriram
, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. Interspeech 2021: 721-725 - [c61]Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert:
slimIPL: Language-Model-Free Iterative Pseudo-Labeling. Interspeech 2021: 741-745 - [c60]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-Lingual Representation Learning for Speech Recognition. Interspeech 2021: 2426-2430 - [c59]Tatiana Likhomanenko, Qiantong Xu, Gabriel Synnaeve, Ronan Collobert, Alex Rogozhnikov:
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. NeurIPS 2021: 16079-16092 - [i41]Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. CoRR abs/2104.01027 (2021) - [i40]Tatiana Likhomanenko, Qiantong Xu, Ronan Collobert, Gabriel Synnaeve, Alex Rogozhnikov:
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings. CoRR abs/2106.03143 (2021) - [i39]Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition. CoRR abs/2106.07759 (2021) - [i38]Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Word Order Does Not Matter For Speech Recognition. CoRR abs/2110.05994 (2021) - [i37]Loren Lugosch, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Pseudo-Labeling for Massively Multilingual Speech Recognition. CoRR abs/2111.00161 (2021) - 2020
- [c58]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
:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. ICASSP 2020: 7669-7673 - [c57]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
Word-Level Speech Recognition With a Letter to Word Encoder. ICML 2020: 2100-2110 - [c56]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. INTERSPEECH 2020: 1006-1010 - [c55]Vineel Pratap, Qiantong Xu, Anuroop Sriram
, Gabriel Synnaeve, Ronan Collobert:
MLS: A Large-Scale Multilingual Dataset for Speech Research. INTERSPEECH 2020: 2757-2761 - [c54]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. INTERSPEECH 2020: 3376-3380 - [c53]Vineel Pratap, Anuroop Sriram
, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. INTERSPEECH 2020: 4751-4755 - [i36]Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Scaling Up Online Speech Recognition Using ConvNets. CoRR abs/2001.09727 (2020) - [i35]Sandeep Subramanian, Ronan Collobert, Marc'Aurelio Ranzato, Y-Lan Boureau:
Multi-scale Transformer Language Models. CoRR abs/2005.00581 (2020) - [i34]Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert:
Iterative Pseudo-Labeling for Speech Recognition. CoRR abs/2005.09267 (2020) - [i33]Alexis Conneau, Alexei Baevski, Ronan Collobert, Abdelrahman Mohamed, Michael Auli:
Unsupervised Cross-lingual Representation Learning for Speech Recognition. CoRR abs/2006.13979 (2020) - [i32]Vineel Pratap, Anuroop Sriram, Paden Tomasello, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters. CoRR abs/2007.03001 (2020) - [i31]Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, Michael Auli:
Self-training and Pre-training are Complementary for Speech Recognition. CoRR abs/2010.11430 (2020) - [i30]Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert:
slimIPL: Language-Model-Free Iterative Pseudo-Labeling. CoRR abs/2010.11524 (2020) - [i29]Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve:
Rethinking Evaluation in ASR: Are Our Models Robust Enough? CoRR abs/2010.11745 (2020) - [i28]Chaitanya Talnikar, Tatiana Likhomanenko, Ronan Collobert, Gabriel Synnaeve:
Joint Masked CPC and CTC Training for ASR. CoRR abs/2011.00093 (2020) - [i27]Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, Ronan Collobert:
MLS: A Large-Scale Multilingual Dataset for Speech Research. CoRR abs/2012.03411 (2020)
2010 – 2019
- 2019
- [j8]Dimitri Palaz, Mathew Magimai-Doss
, Ronan Collobert:
End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition. Speech Commun. 108: 15-32 (2019) - [c52]Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve:
To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. ICASSP 2019: 3742-3746 - [c51]Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert:
Wav2Letter++: A Fast Open-source Speech Recognition System. ICASSP 2019: 6460-6464 - [c50]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
A fully differentiable beam search decoder. ICML 2019: 1341-1350 - [c49]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-Training for Speech Recognition. INTERSPEECH 2019: 3465-3469 - [c48]Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert:
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. INTERSPEECH 2019: 3785-3789 - [c47]Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Who Needs Words? Lexicon-Free Speech Recognition. INTERSPEECH 2019: 3915-3919 - [i26]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
A Fully Differentiable Beam Search Decoder. CoRR abs/1902.06022 (2019) - [i25]Awni Y. Hannun, Ann Lee, Qiantong Xu, Ronan Collobert:
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions. CoRR abs/1904.02619 (2019) - [i24]Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert:
Who Needs Words? Lexicon-Free Speech Recognition. CoRR abs/1904.04479 (2019) - [i23]Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli:
wav2vec: Unsupervised Pre-training for Speech Recognition. CoRR abs/1904.05862 (2019) - [i22]Ronan Collobert, Awni Y. Hannun, Gabriel Synnaeve:
Word-level Speech Recognition with a Dynamic Lexicon. CoRR abs/1906.04323 (2019) - [i21]Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert:
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. CoRR abs/1911.08460 (2019) - [i20]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:
Libri-Light: A Benchmark for ASR with Limited or No Supervision. CoRR abs/1912.07875 (2019) - 2018
- [c46]Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux
:
End-to-End Speech Recognition from the Raw Waveform. INTERSPEECH 2018: 781-785 - [i19]Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux
:
End-to-End Speech Recognition From the Raw Waveform. CoRR abs/1806.07098 (2018) - [i18]Yossi Adi, Neil Zeghidour, Ronan Collobert, Nicolas Usunier, Vitaliy Liptchinsky, Gabriel Synnaeve:
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. CoRR abs/1812.03483 (2018) - [i17]Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert:
Fully Convolutional Speech Recognition. CoRR abs/1812.06864 (2018) - [i16]Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert:
wav2letter++: The Fastest Open-source Speech Recognition System. CoRR abs/1812.07625 (2018) - 2017
- [i15]Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert:
Letter-Based Speech Recognition with Gated ConvNets. CoRR abs/1712.09444 (2017) - 2016
- [c45]Joël Legrand, Ronan Collobert:
Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages. ACL (2) 2016 - [c44]Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev:
ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks. CVPR 2016: 3485-3493 - [c43]Pedro Oliveira Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár:
Learning to Refine Object Segments. ECCV (1) 2016: 75-91 - [c42]Dimitri Palaz, Gabriel Synnaeve, Ronan Collobert:
Jointly Learning to Locate and Classify Words Using Convolutional Networks. INTERSPEECH 2016: 2741-2745 - [c41]Joël Legrand, Ronan Collobert:
Phrase Representations for Multiword Expressions. MWE@ACL 2016 - [c40]Joël Legrand, Michael Auli, Ronan Collobert:
Neural Network-based Word Alignment through Score Aggregation. WMT 2016: 66-73 - [i14]Pedro H. O. Pinheiro, Tsung-Yi Lin, Ronan Collobert, Piotr Dollár:
Learning to Refine Object Segments. CoRR abs/1603.08695 (2016) - [i13]Joël Legrand, Michael Auli, Ronan Collobert:
Neural Network-based Word Alignment through Score Aggregation. CoRR abs/1606.09560 (2016) - [i12]Ronan Collobert, Christian Puhrsch, Gabriel Synnaeve:
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System. CoRR abs/1609.03193 (2016) - 2015
- [c39]Rémi Lebret, Ronan Collobert:
Rehabilitation of Count-Based Models for Word Vector Representations. CICLing (1) 2015: 417-429 - [c38]Pedro H. O. Pinheiro, Ronan Collobert:
From image-level to pixel-level labeling with Convolutional Networks. CVPR 2015: 1713-1721 - [c37]Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert:
Convolutional Neural Networks-based continuous speech recognition using raw speech signal. ICASSP 2015: 4295-4299 - [c36]Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert:
Phrase-based Image Captioning. ICML 2015: 2085-2094 - [c35]Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert:
Analysis of CNN-based speech recognition system using raw speech as input. INTERSPEECH 2015: 11-15 - [c34]Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár:
Learning to Segment Object Candidates. NIPS 2015: 1990-1998 - [c33]Rémi Lebret, Ronan Collobert:
N-gram-Based Low-Dimensional Representation for Document Classification. ICLR (Workshop) 2015 - [c32]Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert:
Simple Image Description Generator via a Linear Phrase-Based Approach. ICLR (Workshop) 2015 - [c31]Joël Legrand, Ronan Collobert:
Joint RNN-Based Greedy Parsing and Word Composition. ICLR (Poster) 2015 - [c30]Dimitri Palaz, Mathew Magimai-Doss, Ronan Collobert:
Learning linearly separable features for speech recognition using convolutional neural networks. ICLR (Workshop) 2015 - [i11]Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert:
Phrase-based Image Captioning. CoRR abs/1502.03671 (2015) - [i10]Rémi Lebret, Ronan Collobert:
"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders. CoRR abs/1506.05703 (2015) - [i9]Pedro H. O. Pinheiro, Ronan Collobert, Piotr Dollár:
Learning to Segment Object Candidates. CoRR abs/1506.06204 (2015) - [i8]Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev:
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks. CoRR abs/1511.03776 (2015) - 2014
- [j7]Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer:
Introduction to the special issue on learning semantics. Mach. Learn. 94(2): 127-131 (2014) - [c29]Rémi Lebret, Ronan Collobert:
Word Embeddings through Hellinger PCA. EACL 2014: 482-490 - [c28]Yanjun Qi, Sujatha G. Das, Ronan Collobert, Jason Weston:
Deep Learning for Character-Based Information Extraction. ECIR 2014: 668-674 - [c27]Dimitri Palaz, Mathew Magimai-Doss
, Ronan Collobert:
Joint phoneme segmentation inference and classification using CRFs. GlobalSIP 2014: 587-591 - [c26]Pedro H. O. Pinheiro, Ronan Collobert:
Recurrent Convolutional Neural Networks for Scene Labeling. ICML 2014: 82-90 - [c25]Joël Legrand, Ronan Collobert:
Recurrent Greedy Parsing with Neural Networks. ECML/PKDD (2) 2014: 130-144 - [i7]Pedro H. O. Pinheiro, Ronan Collobert:
Weakly Supervised Semantic Segmentation with Convolutional Networks. CoRR abs/1411.6228 (2014) - [i6]Rémi Lebret, Ronan Collobert:
Rehabilitation of Count-based Models for Word Vector Representations. CoRR abs/1412.4930 (2014) - [i5]Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michaël Mathieu, Ronan Collobert, Sumit Chopra:
Video (language) modeling: a baseline for generative models of natural videos. CoRR abs/1412.6604 (2014) - 2013
- [c24]Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss:
Estimating phoneme class conditional probabilities from raw speech signal using convolutional neural networks. INTERSPEECH 2013: 1766-1770 - [i4]Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss:
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks. CoRR abs/1304.1018 (2013) - [i3]Pedro H. O. Pinheiro, Ronan Collobert:
Recurrent Convolutional Neural Networks for Scene Parsing. CoRR abs/1306.2795 (2013) - [i2]Dimitri Palaz, Ronan Collobert, Mathew Magimai-Doss:
End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks. CoRR abs/1312.2137 (2013) - 2012
- [p2]Ronan Collobert, Koray Kavukcuoglu, Clément Farabet:
Implementing Neural Networks Efficiently. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 537-557 - [p1]Jason Weston, Frédéric Ratle, Hossein Mobahi, Ronan Collobert:
Deep Learning via Semi-supervised Embedding. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 639-655 - 2011
- [j6]Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa:
Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. 12: 2493-2537 (2011) - [c23]Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio:
Learning Structured Embeddings of Knowledge Bases. AAAI 2011: 301-306 - [c22]Ronan Collobert:
Deep Learning for Efficient Discriminative Parsing. AISTATS 2011: 224-232 - [i1]Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa:
Natural Language Processing (almost) from Scratch. CoRR abs/1103.0398 (2011) - 2010
- [j5]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger:
Learning to rank with (a lot of) word features. Inf. Retr. 13(3): 291-314 (2010) - [c21]Pavel P. Kuksa
, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning:
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. ECML/PKDD (2) 2010: 128-144 - [c20]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri:
Half Transductive Ranking. AISTATS 2010: 49-56 - [c19]Antoine Bordes, Nicolas Usunier, Ronan Collobert, Jason Weston:
Towards Understanding Situated Natural Language. AISTATS 2010: 65-72
2000 – 2009
- 2009
- [c18]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger:
Supervised semantic indexing. CIKM 2009: 187-196 - [c17]Yanjun Qi, Ronan Collobert, Pavel P. Kuksa
, Koray Kavukcuoglu, Jason Weston:
Combining labeled and unlabeled data with word-class distribution learning. CIKM 2009: 1737-1740 - [c16]Bing Bai, Jason Weston, Ronan Collobert, David Grangier:
Supervised Semantic Indexing. ECIR 2009: 761-765 - [c15]Yanjun Qi, Pavel P. Kuksa
, Ronan Collobert, Kunihiko Sadamasa, Koray Kavukcuoglu, Jason Weston:
Semi-Supervised Sequence Labeling with Self-Learned Features. ICDM 2009: 428-437 - [c14]Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston:
Curriculum learning. ICML 2009: 41-48 - [c13]Hossein Mobahi, Ronan Collobert, Jason Weston:
Deep learning from temporal coherence in video. ICML 2009: 737-744 - [c12]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri:
Polynomial Semantic Indexing. NIPS 2009: 64-72 - 2008
- [c11]Ronan Collobert, Jason Weston:
A unified architecture for natural language processing: deep neural networks with multitask learning. ICML 2008: 160-167 - [c10]Michael Karlen, Jason Weston, Ayse Erkan, Ronan Collobert:
Large scale manifold transduction. ICML 2008: 448-455 - [c9]Jason Weston, Frédéric Ratle, Ronan Collobert:
Deep learning via semi-supervised embedding. ICML 2008: 1168-1175 - 2007
- [c8]Ronan Collobert, Jason Weston:
Fast Semantic Extraction Using a Novel Neural Network Architecture. ACL 2007 - 2006
- [j4]Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou:
Large Scale Transductive SVMs. J. Mach. Learn. Res. 7: 1687-1712 (2006) - [c7]Ronan Collobert, Fabian H. Sinz
, Jason Weston, Léon Bottou:
Trading convexity for scalability. ICML 2006: 201-208 - [c6]Jason Weston, Ronan Collobert, Fabian H. Sinz
, Léon Bottou, Vladimir Vapnik:
Inference with the Universum. ICML 2006: 1009-1016 - 2004
- [c5]Ronan Collobert, Samy Bengio:
A gentle Hessian for efficient gradient descent. ICASSP (5) 2004: 517-520 - [c4]Ronan Collobert, Samy Bengio:
Links between perceptrons, MLPs and SVMs. ICML 2004 - 2003
- [j3]Ronan Collobert, Yoshua Bengio, Samy Bengio:
Scaling Large Learning Problems with Hard Parallel Mixtures. Int. J. Pattern Recognit. Artif. Intell. 17(3): 349-365 (2003) - [c3]Conrad Sanderson, Samy Bengio, Hervé Bourlard, Johnny Mariéthoz, Ronan Collobert, Mohamed Faouzi BenZeghiba, Fabien Cardinaux, Sébastien Marcel:
Speech & face based biometric authentication at IDIAP. ICME 2003: 1-4 - 2002
- [j2]Ronan Collobert, Samy Bengio, Yoshua Bengio:
A Parallel Mixture of SVMs for Very Large Scale Problems. Neural Comput. 14(5): 1105-1114 (2002) - [c2]Ronan Collobert, Yoshua Bengio, Samy Bengio:
Scaling Large Learning Problems with Hard Parallel Mixtures. SVM 2002: 8-23 - 2001
- [j1]Ronan Collobert, Samy Bengio:
SVMTorch: Support Vector Machines for Large-Scale Regression Problems. J. Mach. Learn. Res. 1: 143-160 (2001) - [c1]Ronan Collobert, Samy Bengio, Yoshua Bengio:
A Parallel Mixture of SVMs for Very Large Scale Problems. NIPS 2001: 633-640
Coauthor Index
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