Keywords:
Publications of Ronan Collobert sorted by recency
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| Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , in: Proceedings of Interspeech, 2013 |
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| Word Embeddings through Hellinger PCA, and , Idiap-RR-29-2013 |
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| Learning to Rank on Network Data, , and , in: Mining and Learning with Graphs, 2013 |
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| Recurrent Convolutional Neural Networks for Scene Parsing, and , Idiap-RR-22-2013 |
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| Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks, , and , Idiap-RR-13-2013 |
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| Implementing Neural Networks Efficiently, , and , in: Neural Networks: Tricks of the Trade, Springer, 2012 |
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| Deep Learning via Semi-Supervised Embedding, , , and , in: In Neural Networks: Tricks of the Trade, Springer, 2012 |
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| Improving Object Classification using Pose Information, , , and , Idiap-RR-30-2012 |
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| Torch7: A Matlab-like Environment for Machine Learning, , and , in: BigLearn, NIPS Workshop, 2011 |
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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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| Natural Language Processing (Almost) from Scratch, , , , , and , in: Journal of Machine Learning Research, 12:2493-2537, 2011 |
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| A New Margin-Based Criterion for Efficient Gradient Descent, and , Idiap-RR-16-2003 |
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| A Parallel Mixture of SVMs for Very Large Scale Problems, , and , Idiap-RR-12-2001 |
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| Links between Perceptrons, MLPs and SVMs, and , Idiap-RR-06-2004 |
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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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| Support Vector Machines for Large-Scale Regression Problems, and , Idiap-RR-17-2000 |
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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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| SVMTorch: Support Vector Machines for Large-Scale Regression Problems, and , in: Journal of Machine Learning Research, 1, 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 Workshop on Pattern Recognition with Support Vector Machines, SVM'2002, 2002 |
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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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| Speech & Face Based Biometric Authentication at IDIAP, , , , , , , and , Idiap-RR-13-2003 |
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| Speech & Face Based Biometric Authentication at IDIAP, , , , , , , and , in: Proceedings of the 2003 IEEE International Conference on Multimedia & Expo (ICME-03), 2003 |
| 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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| Links Between Perceptrons, MLPs and SVMs, and , in: International Conference on Machine Learning, ICML, 2004 |
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| Large Scale Machine Learning, , Université de Paris VI, 2004 |
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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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| 1 | 2 |