Keywords:
Publications of Ronan Collobert sorted by first author
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Introduction to the Special Issue on Learning Semantics, , , , , and , in: Machine Learning, 2013 |
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Learning Structured Embeddings of Knowledge Bases, , , and , in: Conference on Artificial Intelligence, 2011 |
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Deep Learning for Efficient Discriminative Parsing, , in: International Conference on Artificial Intelligence and Statistics, 2011 |
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Large Scale Machine Learning, , Université de Paris VI, 2004 |
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Large Scale Machine Learning, , Idiap-RR-42-2004 |
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Support Vector Machines, Théorie et Application, , Idiap-Com-03-2000 |
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A Gentle Hessian for Efficient Gradient Descent, and , in: IEEE International Conference on Acoustic, Speech, and Signal Processing, ICASSP, 2004 |
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Links Between Perceptrons, MLPs and SVMs, and , in: International Conference on Machine Learning, ICML, 2004 |
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Links between Perceptrons, MLPs and SVMs, and , Idiap-RR-06-2004 |
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A New Margin-Based Criterion for Efficient Gradient Descent, and , Idiap-RR-16-2003 |
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SVMTorch: Support Vector Machines for Large-Scale Regression Problems, and , in: Journal of Machine Learning Research, 1, 2001 |
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On the Convergence of SVMTorch, an Algorithm for Large-Scale Regression Problems, and , Idiap-RR-24-2000 |
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Support Vector Machines for Large-Scale Regression Problems, and , Idiap-RR-17-2000 |
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A Parallel Mixture of SVMs for Very Large Scale Problems, , and , in: Neural Computation, 14(05), 2002 |
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A Parallel Mixture of SVMs for Very Large Scale Problems, , and , Idiap-RR-12-2001 |
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A Parallel Mixture of SVMs for Very Large Scale Problems, , and , in: Advances in Neural Information Processing Systems, NIPS 14, MIT Press, 2002 |
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Torch: a modular machine learning software library, , and , Idiap-RR-46-2002 |
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Scaling Large Learning Problems with Hard Parallel Mixtures, , and , in: International Journal on Pattern Recognition and Artificial Intelligence (IJPRAI), 17(3), 2003 |
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Scaling Large Learning Problems with Hard Parallel Mixtures, , and , in: International Workshop on Pattern Recognition with Support Vector Machines, SVM'2002, 2002 |
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Torch7: A Matlab-like Environment for Machine Learning, , and , in: BigLearn, NIPS Workshop, 2011 |
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Implementing Neural Networks Efficiently, , and , in: Neural Networks: Tricks of the Trade, Springer, 2012 |
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Natural Language Processing (Almost) from Scratch, , , , , and , in: Journal of Machine Learning Research, 12:2493-2537, 2011 |
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N-gram-Based Low-Dimensional Representation for Document Classification, and , in: International Conference on Learning Representations, 2015 |
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Rehabilitation of Count-based Models for Word Vector Representations, and , in: Computational Linguistics and Intelligent Text Processing, pages 417-429, Springer International Publishing, 2015 |
"The Sum of Its Parts": Joint Learning of Word and Phrase Representations with Autoencoders, and , Idiap-RR-21-2015 |
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Word Embeddings through Hellinger PCA, and , in: 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014 |
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Word Embeddings through Hellinger PCA, and , Idiap-RR-29-2013 |
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Is Deep Learning Really Necessary for Word Embeddings?, , and , Idiap-RR-44-2013 |
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Twitter Sentiment Analysis (Almost) from Scratch, , and , Idiap-RR-15-2016 |
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Phrase-based Image Captioning, , and , Idiap-RR-08-2015 |
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Phrase-based Image Captioning, , and , in: International Conference on Machine Learning (ICML), Lille, France, pages 2085–2094, JMLR, 2015 |
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Simple Image Description Generator via a Linear Phrase-based Model, , and , Idiap-RR-22-2015 |
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Neural Network-based Word Alignment through Score Aggregation, , and , in: Proceedings of the ACL 1st Conference on Machine Translation, 2016 |
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Deep Neural Networks for Syntactic Parsing of Morphologically Rich Languages, and , in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016 |
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Phrase Representations for Multiword Expressions, and , in: Proceedings of the 12th Workshop on Multiword Expressions, 2016 |
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Joint RNN-Based Greedy Parsing and Word Composition, and , in: Proceedings of ICLR 2015, 2015 |
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Syntactic Parsing of Morphologically Rich Languages Using Deep Neural Networks, and , Idiap-RR-25-2015 |
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Recurrent Greedy Parsing with Neural Networks, and , in: Proceedings of ECML 2014, pages 130-144, Springer Berlin Heidelberg, 2014 |
[DOI] |
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