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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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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 01:39 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
