Yoshua Bengio

	2012
155		Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio: Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery CoRR abs/1201.3382: (2012)
154		Yoshua Bengio: Evolving Culture vs Local Minima CoRR abs/1203.2990: (2012)
153		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: On Training Deep Boltzmann Machines CoRR abs/1203.4416: (2012)
152		James Bergstra, Yoshua Bengio: Random Search for Hyper-Parameter Optimization. Journal of Machine Learning Research 13: 281-305 (2012)
151		Hugo Larochelle, Michael I. Mandel, Razvan Pascanu, Yoshua Bengio: Learning Algorithms for the Classification Restricted Boltzmann Machine. Journal of Machine Learning Research 13: 643-669 (2012)
150		Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio: Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. Journal of Machine Learning Research - Proceedings Track 22: 127-135 (2012)
	2011
149		Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio: Learning Structured Embeddings of Knowledge Bases. AAAI 2011
148		Yoshua Bengio, Olivier Delalleau: On the Expressive Power of Deep Architectures. ALT 2011: 18-36
147		Yoshua Bengio, Olivier Delalleau: On the Expressive Power of Deep Architectures. Discovery Science 2011: 1
146		Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann Dauphin, Xavier Glorot: Higher Order Contractive Auto-Encoder. ECML/PKDD (2) 2011: 645-660
145		Aaron C. Courville, James Bergstra, Yoshua Bengio: Unsupervised Models of Images by Spikeand-Slab RBMs. ICML 2011: 1145-1152
144		Xavier Glorot, Antoine Bordes, Yoshua Bengio: Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. ICML 2011: 513-520
143		Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio: Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. ICML 2011: 833-840
142		Yann Dauphin, Xavier Glorot, Yoshua Bengio: Large-Scale Learning of Embeddings with Reconstruction Sampling. ICML 2011: 945-952
141		Philippe Hamel, Simon Lemieux, Yoshua Bengio, Douglas Eck: Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio. ISMIR 2011: 729-734
140		Salah Rifai, Yann Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller: The Manifold Tangent Classifier. NIPS 2011: 2294-2302
139		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: On Tracking The Partition Function. NIPS 2011: 2501-2509
138		James Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl: Algorithms for Hyper-Parameter Optimization. NIPS 2011: 2546-2554
137		Olivier Delalleau, Yoshua Bengio: Shallow vs. Deep Sum-Product Networks. NIPS 2011: 666-674
136		Michael I. Mandel, Razvan Pascanu, Hugo Larochelle, Yoshua Bengio: Autotagging music with conditional restricted Boltzmann machines CoRR abs/1103.2832: (2011)
135		Salah Rifai, Xavier Glorot, Yoshua Bengio, Pascal Vincent: Adding noise to the input of a model trained with a regularized objective CoRR abs/1104.3250: (2011)
134		Salah Rifai, Xavier Muller, Xavier Glorot, Grégoire Mesnil, Yoshua Bengio, Pascal Vincent: Learning invariant features through local space contraction CoRR abs/1104.4153: (2011)
133		Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio: Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings CoRR abs/1107.3663: (2011)
132		James Bergstra, Aaron C. Courville, Yoshua Bengio: The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All) CoRR abs/1109.6638: (2011)
131		Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard: Deep Learners Benefit More from Out-of-Distribution Examples. Journal of Machine Learning Research - Proceedings Track 15: 164-172 (2011)
130		Aaron C. Courville, James Bergstra, Yoshua Bengio: A Spike and Slab Restricted Boltzmann Machine. Journal of Machine Learning Research - Proceedings Track 15: 233-241 (2011)
129		Xavier Glorot, Antoine Bordes, Yoshua Bengio: Deep Sparse Rectifier Neural Networks. Journal of Machine Learning Research - Proceedings Track 15: 315-323 (2011)
128		Yoshua Bengio: Discussion of "The Neural Autoregressive Distribution Estimator". Journal of Machine Learning Research - Proceedings Track 15: 38-39 (2011)
127		James Bergstra, Yoshua Bengio, Jérôme Louradour: Suitability of V1 Energy Models for Object Classification. Neural Computation 23(3): 774-790 (2011)
126		Olivier Breuleux, Yoshua Bengio, Pascal Vincent: Quickly Generating Representative Samples from an RBM-Derived Process. Neural Computation 23(8): 2058-2073 (2011)
125		Michael I. Mandel, Razvan Pascanu, Douglas Eck, Yoshua Bengio, Luca Maria Aiello, Rossano Schifanella, Filippo Menczer: Contextual tag inference. TOMCCAP 7(Supplement): 32 (2011)
	2010
124		Joseph P. Turian, Lev-Arie Ratinov, Yoshua Bengio: Word Representations: A Simple and General Method for Semi-Supervised Learning. ACL 2010: 384-394
123		Michael I. Mandel, Douglas Eck, Yoshua Bengio: Learning Tags that Vary Within a Song. ISMIR 2010: 399-404
122		Frédéric Bastien, Yoshua Bengio, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard: Deep Self-Taught Learning for Handwritten Character Recognition CoRR abs/1009.3589: (2010)
121		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs CoRR abs/1012.3476: (2010)
120		Yoshua Bengio, Olivier Delalleau, Clarence Simard: Decision trees do not generalize to new variations. Computational Intelligence 26(4): 449-467 (2010)
119		François Rivest, John Kalaska, Yoshua Bengio: Alternative time representation in dopamine models. Journal of Computational Neuroscience 28(1): 107-130 (2010)
118		Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol: Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. Journal of Machine Learning Research 11: 3371-3408 (2010)
117		Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, Pierre-Antoine Manzagol, Pascal Vincent, Samy Bengio: Why Does Unsupervised Pre-training Help Deep Learning? Journal of Machine Learning Research 11: 625-660 (2010)
116		Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau: Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. Journal of Machine Learning Research - Proceedings Track 9: 145-152 (2010)
115		Dumitru Erhan, Aaron C. Courville, Yoshua Bengio, Pascal Vincent: Why Does Unsupervised Pre-training Help Deep Learning? Journal of Machine Learning Research - Proceedings Track 9: 201-208 (2010)
114		Xavier Glorot, Yoshua Bengio: Understanding the difficulty of training deep feedforward neural networks. Journal of Machine Learning Research - Proceedings Track 9: 249-256 (2010)
113		Nicolas Le Roux, Yoshua Bengio: Deep Belief Networks Are Compact Universal Approximators. Neural Computation 22(8): 2192-2207 (2010)
112		Hugo Larochelle, Yoshua Bengio, Joseph P. Turian: Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest. Neural Computation 22(9): 2285-2307 (2010)
	2009
111		Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou: Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 Curran Associates, Inc. 2009
110		Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta: Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. Curran Associates, Inc. 2009
109		Joseph P. Turian, James Bergstra, Yoshua Bengio: Quadratic Features and Deep Architectures for Chunking. HLT-NAACL (Short Papers) 2009: 245-248
108		Kay Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio: Workshop summary: Workshop on learning feature hierarchies. ICML 2009: 165
107		Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston: Curriculum learning. ICML 2009: 6
106		Aaron C. Courville, Douglas Eck, Yoshua Bengio: An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. NIPS 2009: 405-413
105		James Bergstra, Yoshua Bengio: Slow, Decorrelated Features for Pretraining Complex Cell-like Networks. NIPS 2009: 99-107
104		Yoshua Bengio: Learning Deep Architectures for AI. Foundations and Trends in Machine Learning 2(1): 1-127 (2009)
103		Julie Carreau, Yoshua Bengio: A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions. IEEE Transactions on Neural Networks 20(7): 1087-1101 (2009)
102		Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin: Exploring Strategies for Training Deep Neural Networks. Journal of Machine Learning Research 10: 1-40 (2009)
101		Charles Dugas, Yoshua Bengio, François Bélisle, Claude Nadeau, René Garcia: Incorporating Functional Knowledge in Neural Networks. Journal of Machine Learning Research 10: 1239-1262 (2009)
100		Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, Pascal Vincent: The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training. Journal of Machine Learning Research - Proceedings Track 5: 153-160 (2009)
99		Yoshua Bengio, Olivier Delalleau: Justifying and Generalizing Contrastive Divergence. Neural Computation 21(6): 1601-1621 (2009)
	2008
98		Hugo Larochelle, Dumitru Erhan, Yoshua Bengio: Zero-data Learning of New Tasks. AAAI 2008: 646-651
97		Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol: Extracting and composing robust features with denoising autoencoders. ICML 2008: 1096-1103
96		Hugo Larochelle, Yoshua Bengio: Classification using discriminative restricted Boltzmann machines. ICML 2008: 536-543
95		Yoshua Bengio, Jean-Sébastien Senecal: Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model. IEEE Transactions on Neural Networks 19(4): 713-722 (2008)
94		Nicolas Le Roux, Yoshua Bengio: Representational Power of Restricted Boltzmann Machines and Deep Belief Networks. Neural Computation 20(6): 1631-1649 (2008)
93		Yoshua Bengio: Neural net language models. Scholarpedia 3(1): 3881 (2008)
	2007
92		Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio: An empirical evaluation of deep architectures on problems with many factors of variation. ICML 2007: 473-480
91		Nicolas Chapados, Yoshua Bengio: Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. NIPS 2007
90		Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl: Learning the 2-D Topology of Images. NIPS 2007
89		Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua Bengio: Topmoumoute Online Natural Gradient Algorithm. NIPS 2007
88		Nicolas Chapados, Yoshua Bengio: Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. JCP 2(1): 12-19 (2007)
87		Nicolas Le Roux, Yoshua Bengio: Continuous Neural Networks. Journal of Machine Learning Research - Proceedings Track 2: 404-411 (2007)
86		Julie Carreau, Yoshua Bengio: A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data. Journal of Machine Learning Research - Proceedings Track 2: 51-58 (2007)
	2006
85		Nicolas Chapados, Yoshua Bengio: The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. Canadian Conference on AI 2006: 491-502
84		Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle: Greedy Layer-Wise Training of Deep Networks. NIPS 2006: 153-160
83		Dumitru Erhan, Pierre-Jean L'Heureux, Shi Yi Yue, Yoshua Bengio: Collaborative Filtering on a Family of Biological Targets. Journal of Chemical Information and Modeling 46(2): 626-635 (2006)
82		Yoshua Bengio, Martin Monperrus, Hugo Larochelle: Nonlocal Estimation of Manifold Structure. Neural Computation 18(10): 2509-2528 (2006)
	2005
81		Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. CAP 2005: 281-296
80		Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte: Convex Neural Networks. NIPS 2005
79		Yoshua Bengio, Hugo Larochelle, Pascal Vincent: Non-Local Manifold Parzen Windows. NIPS 2005
78		Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux: The Curse of Highly Variable Functions for Local Kernel Machines. NIPS 2005
	2004
77		Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio: Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. ACL 2004: 287-294
76		François Rivest, Yoshua Bengio, John Kalaska: Brain Inspired Reinforcement Learning. NIPS 2004
75		Yoshua Bengio, Martin Monperrus: Non-Local Manifold Tangent Learning. NIPS 2004
74		Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. NIPS 2004
73		Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. Journal of Machine Learning Research 5: 1089-1105 (2004)
72		Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet: Learning Eigenfunctions Links Spectral Embedding and Kernel PCA. Neural Computation 16(10): 2197-2219 (2004)
	2003
71		Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. NIPS 2003
70		Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet: Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering. NIPS 2003
69		Joumana Ghosn, Yoshua Bengio: Bias learning, knowledge sharing. IEEE Transactions on Neural Networks 14(4): 748-765 (2003)
68		Ronan Collobert, Yoshua Bengio, Samy Bengio: Scaling Large Learning Problems with Hard Parallel Mixtures. IJPRAI 17(3): 349-365 (2003)
67		Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Janvin: A Neural Probabilistic Language Model. Journal of Machine Learning Research 3: 1137-1155 (2003)
66		Yoshua Bengio, Nicolas Chapados: Extensions to Metric-Based Model Selection. Journal of Machine Learning Research 3: 1209-1227 (2003)
65		Claude Nadeau, Yoshua Bengio: Inference for the Generalization Error. Machine Learning 52(3): 239-281 (2003)
	2002
64		Pascal Vincent, Yoshua Bengio: Manifold Parzen Windows. NIPS 2002: 825-832
63		Ronan Collobert, Yoshua Bengio, Samy Bengio: Scaling Large Learning Problems with Hard Parallel Mixtures. SVM 2002: 8-23
62		Pascal Vincent, Yoshua Bengio: Kernel Matching Pursuit. Machine Learning 48(1-3): 165-187 (2002)
61		Yoshua Bengio, Dale Schuurmans: Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. Machine Learning 48(1-3): 5-7 (2002)
60		Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio: Model Selection for Small Sample Regression. Machine Learning 48(1-3): 9-23 (2002)
59		Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori: Robust Regression with Asymmetric Heavy-Tail Noise Distributions. Neural Computation 14(10): 2469-2496 (2002)
58		Ronan Collobert, Samy Bengio, Yoshua Bengio: A Parallel Mixture of SVMs for Very Large Scale Problems. Neural Computation 14(5): 1105-1114 (2002)
	2001
57		Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng: Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. NIPS 2001: 1369-1376
56		Ronan Collobert, Samy Bengio, Yoshua Bengio: A Parallel Mixture of SVMs for Very Large Scale Problems. NIPS 2001: 633-640
55		Pascal Vincent, Yoshua Bengio: K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms. NIPS 2001: 985-992
54		Narjès Boufaden, Guy Lapalme, Yoshua Bengio: Topic Segmentation : A First Stage to Dialog-Based Information Extraction. NLPRS 2001: 273-279
53		Yoshua Bengio, Vincent-Philippe Lauzon, Réjean Ducharme: Experiments on the application of IOHMMs to model financial returns series. IEEE Transactions on Neural Networks 12(1): 113-123 (2001)
52		Nicolas Chapados, Yoshua Bengio: Cost functions and model combination for VaR-based asset allocation using neural networks. IEEE Transactions on Neural Networks 12(4): 890-906 (2001)
	2000
51		Yoshua Bengio: Continuous Optimization of Hyper-Parameters. IJCNN (1) 2000: 305-310
50		Joumana Ghosn, Yoshua Bengio: Bias Learning, Knowledge Sharing. IJCNN (1) 2000: 9-14
49		Pascal Vincent, Yoshua Bengio: A Neural Support Vector Network Architecture with Adaptive Kernels. IJCNN (5) 2000: 187-192
48		Yoshua Bengio: Probabilistic Neural Network Models for Sequential Data. IJCNN (5) 2000: 79-84
47		Charles Dugas, Yoshua Bengio, François Bélisle, Claude Nadeau, René Garcia: Incorporating Second-Order Functional Knowledge for Better Option Pricing. NIPS 2000: 472-478
46		Yoshua Bengio, Réjean Ducharme, Pascal Vincent: A Neural Probabilistic Language Model. NIPS 2000: 932-938
45		Samy Bengio, Yoshua Bengio: Taking on the curse of dimensionality in joint distributions using neural networks. IEEE Trans. Neural Netw. Learning Syst. 11(3): 550-557 (2000)
44		Holger Schwenk, Yoshua Bengio: Boosting Neural Networks. Neural Computation 12(8): 1869-1887 (2000)
43		Yoshua Bengio: Gradient-Based Optimization of Hyperparameters. Neural Computation 12(8): 1889-1900 (2000)
	1999
42		Steven Pigeon, Yoshua Bengio: Binary Pseudowavelets and Applications to Bilevel Image Processing. Data Compression Conference 1999: 364-373
41		Claude Nadeau, Yoshua Bengio: Inference for the Generalization Error. NIPS 1999: 307-313
40		Yoshua Bengio, Samy Bengio: Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks. NIPS 1999: 400-406
39		Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio: Object Recognition with Gradient-Based Learning. Shape, Contour and Grouping in Computer Vision 1999: 319-
38		Samy Bengio, Yoshua Bengio, Jacques Robert, Gilles Bélanger: Stochastic Learning of Strategic Equilibria for Auctions. Neural Computation 11(5): 1199-1209 (1999)
	1998
37		Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: Browsing through High Quality Document Images with DjVu. ADL 1998: 309-318
36		Léon Bottou, Paul G. Howard, Yoshua Bengio: The Z-Coder Adaptive Binary Coder. Data Compression Conference 1998: 13-22
35		Steven Pigeon, Yoshua Bengio: A Memory-Efficient Adaptive Huffman Coding Algorthm for Very Large Sets of Symbols. Data Compression Conference 1998: 568
34		Yoshua Bengio, Francois Gingras, Bernard Goulard, Jean-Marc Lina, Keith Scott: Gaussian Mixture Densities for Classification of Nuclear Power Plant Data. Computers and Artificial Intelligence 17(2-3): (1998)
33		Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: High quality document image compression with "DjVu". J. Electronic Imaging 7(3): 410-425 (1998)
	1997
32		Léon Bottou, Yoshua Bengio, Yann LeCun: Global Training of Document Processing Systems Using Graph Transformer Networks. CVPR 1997: 489-494
31		Mazin Rahim, Yoshua Bengio, Yann LeCun: Discriminative feature and model design for automatic speech recognition. EUROSPEECH 1997
30		Holger Schwenk, Yoshua Bengio: AdaBoosting Neural Networks: Application to on-line Character Recognition. ICANN 1997: 967-972
29		Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer: Shared Context Probabilistic Transducers. NIPS 1997
28		Holger Schwenk, Yoshua Bengio: Training Methods for Adaptive Boosting of Neural Networks. NIPS 1997
27		Yoshua Bengio: Using a Financial Training Criterion Rather than a Prediction Criterion. Int. J. Neural Syst. 8(4): 433-443 (1997)
	1996
26		Joumana Ghosn, Yoshua Bengio: Multi-Task Learning for Stock Selection. NIPS 1996: 946-952
	1995
25		Yoshua Bengio, Francois Gingras: Recurrent Neural Networks for Missing or Asynchronous Data. NIPS 1995: 395-401
24		Salah El Hihi, Yoshua Bengio: Hierarchical Recurrent Neural Networks for Long-Term Dependencies. NIPS 1995: 493-499
23		Yoshua Bengio, Paolo Frasconi: Diffusion of Context and Credit Information in Markovian Models. J. Artif. Intell. Res. (JAIR) 3: 249-270 (1995)
22		Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges: LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Computation 7(6): 1289-1303 (1995)
21		Samy Bengio, Yoshua Bengio, Jocelyn Cloutier: On the search for new learning rules for ANNs. Neural Processing Letters 2(4): 26-30 (1995)
	1994
20		Samy Bengio, Yoshua Bengio, Jocelyn Cloutier: Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks. International Conference on Evolutionary Computation 1994: 324-327
19		Yoshua Bengio, Paolo Frasconi: An Input Output HMM Architecture. NIPS 1994: 427-434
18		Yoshua Bengio, Paolo Frasconi: Diffusion of Credit in Markovian Models. NIPS 1994: 553-560
17		Léon Bottou, Yoshua Bengio: Convergence Properties of the K-Means Algorithms. NIPS 1994: 585-592
	1993
16		Yoshua Bengio, Paolo Frasconi: Credit Assignment through Time: Alternatives to Backpropagation. NIPS 1993: 75-82
15		Yoshua Bengio, Yann LeCun, Donnie Henderson: Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models. NIPS 1993: 937-944
14		Yoshua Bengio: A Connectionist Approach to Speech Recognition. IJPRAI 7(4): 647-667 (1993)
	1992
13		Yoshua Bengio, Renato de Mori, Marco Gori: Learning the dynamic nature of speech with back-propagation for sequences. Pattern Recognition Letters 13(5): 375-385 (1992)
12		Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe: Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks. Speech Communication 11(2-3): 261-271 (1992)
	1991
11		Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe: A comparative study on hybrid acoustic phonetic decoders based on artificial neural networks. EUROSPEECH 1991
10		Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe: Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks. EUROSPEECH 1991
9		Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe: Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation. NIPS 1991: 175-182
	1990
8		Yoshua Bengio, Yannick Pouliot: Efficient recognition of immunoglobulin domains from amino acid sequences using a neural network. Computer Applications in the Biosciences 6(4): 319-324 (1990)
7		Piero Cosi, Yoshua Bengio, Renato de Mori: Phonetically-based multi-layered neural networks for vowel classification. Speech Communication 9(1): 15-29 (1990)
	1989
6		Renato de Mori, Yoshua Bengio, Piero Cosi: On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties. IJCAI 1989: 1531-1536
5		Yoshua Bengio, Renato de Mori, Régis Cardin: Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge. NIPS 1989: 218-225
4		Yoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin: A Neural Network to Detect Homologies in Proteins. NIPS 1989: 423-430
3		Yoshua Bengio, Régis Cardin, Renato de Mori, Ettore Merlo: Programmable Execution of Multi-Layered Networks for Automatic Speech Recognition. Commun. ACM 32(2): 195-199 (1989)
	1988
2		Renato de Mori, Yoshua Bengio, Régis Cardin: Data-Driven Execution of Multi-Layered Networks for Automatic Speech Recognition. AAAI 1988: 734-738
1		Yoshua Bengio, Régis Cardin, Renato de Mori, Piero Cosi: Use of Multi-Layered Networks for Coding Speech with Phonetic Features. NIPS 1988: 224-231

Coauthor Index

1	Patrick Agin	[4]
2	Luca Maria Aiello	[125]
3	Rémi Bardenet	[138]
4	Frédéric Bastien	[122] [131]
5	Gilles Bélanger	[38]
6	François Bélisle	[47] [101]
7	Samy Bengio	[4] [20] [21] [29] [38] [40] [45] [56] [58] [63] [68] [100] [117]
8	Arnaud Bergeron	[122] [131]
9	James Bergstra	[92] [105] [109] [127] [130] [132] [138] [145] [152]
10	Indrajit Bhattacharya	[77]
11	Antoine Bordes	[129] [133] [144] [149] [150]
12	Léon Bottou	[17] [32] [33] [36] [37] [39] [111]
13	Narjès Boufaden	[54]
14	Nicolas Boulanger-Lewandowski	[122] [131]
15	Thomas M. Breuel	[122] [131]
16	Olivier Breuleux	[126]
17	Christopher J. C. Burges (Chris Burges)	[22]
18	Régis Cardin	[1] [2] [3] [5]
19	Julie Carreau	[86] [103]
20	Nicolas Chapados	[52] [57] [66] [85] [88] [91]
21	Olivier Chapelle	[60]
22	Youssouf Chherawala	[122] [131]
23	Moustapha Cisse	[122] [131]
24	Jocelyn Cloutier	[20] [21]
25	Ronan Collobert	[56] [58] [63] [68] [107] [149]
26	Piero Cosi	[1] [6] [7]
27	Myriam Côté	[122] [131]
28	Aaron C. Courville	[92] [106] [115] [116] [117] [121] [130] [132] [139] [145] [153] [155]
29	Aron Culotta	[110]
30	Yann Dauphin	[140] [142] [146]
31	Olivier Delalleau	[70] [72] [78] [80] [99] [116] [120] [137] [147] [148]
32	Guillaume Desjardins	[116] [121] [139] [153]
33	Réjean Ducharme	[46] [53] [67]
34	Charles Dugas	[47] [57] [101]
35	Douglas Eck	[106] [123] [125] [141]
36	Dumitru Erhan	[83] [92] [98] [100] [115] [117] [122] [131]
37	Jeremy Eustache	[122] [131]
38	Giovanni Flammia	[9] [10] [11] [12]
39	Paolo Frasconi	[16] [18] [19] [23]
40	René Garcia	[47] [101]
41	Lise Getoor	[77]
42	Joumana Ghosn	[26] [50] [57] [69]
43	Francois Gingras	[25] [34]
44	Xavier Glorot	[114] [122] [129] [131] [133] [134] [135] [142] [143] [144] [146] [150]
45	Ian J. Goodfellow	[155]
46	Marco Gori	[13]
47	Bernard Goulard	[34]
48	Yves Grandvalet	[71] [73] [74] [81]
49	Patrick Haffner	[33] [37] [39]
50	Philippe Hamel	[141]
51	Donnie Henderson	[15]
52	Salah El Hihi	[24]
53	Geoffrey E. Hinton	[108]
54	Paul G. Howard	[33] [36] [37]
55	Jean-Franc Isabelle	[29]
56	Christian Janvin	[67]
57	Marc Joliveau	[90]
58	John Kalaska	[76] [119]
59	Takafumi Kanamori	[59]
60	Balázs Kégl	[90] [138]
61	Daphne Koller	[111]
62	Ralf Kompe	[9] [10] [11] [12]
63	Pierre-Jean L'Heureux	[83]
64	John D. Lafferty	[110]
65	Isabelle Lajoie	[118]
66	Pascal Lamblin	[84] [90] [102]
67	Guy Lapalme	[54]
68	Hugo Larochelle	[79] [82] [84] [92] [96] [97] [98] [102] [112] [118] [136] [151]
69	Vincent-Philippe Lauzon	[53]
70	Yann LeCun	[15] [22] [31] [32] [33] [37] [39] [108]
71	Sylvain Pannetier Lebeuf	[122] [131]
72	Simon Lemieux	[141]
73	Jean-Marc Lina	[34]
74	Jérôme Louradour	[102] [107] [127]
75	Michael I. Mandel	[123] [125] [136] [151]
76	Pierre-Antoine Manzagol	[89] [97] [100] [117] [118]
77	Patrice Marcotte	[80]
78	Filippo Menczer	[125]
79	Linyan Meng	[57]
80	Ettore Merlo	[3]
81	Grégoire Mesnil	[134] [146]
82	Martin Monperrus	[75] [82]
83	Renato de Mori	[1] [2] [3] [5] [6] [7] [9] [10] [11] [12] [13]
84	Xavier Muller	[122] [131] [134] [140] [143] [146]
85	Claude Nadeau	[41] [47] [65] [101]
86	Craig R. Nohl	[22]
87	Marie Ouimet	[70] [72]
88	Jean-François Paiement	[70] [72]
89	Razvan Pascanu	[122] [125] [131] [136] [151]
90	Steven Pigeon	[35] [42]
91	Dan Popovici	[84]
92	Yannick Pouliot	[4] [8]
93	Mazin Rahim	[31]
94	Lev-Arie Ratinov	[124]
95	Salah Rifai	[122] [131] [134] [135] [140] [143] [146]
96	François Rivest	[76] [119]
97	Jacques Robert	[38]
98	Nicolas Le Roux	[70] [72] [78] [80] [87] [89] [90] [94] [113]
99	Ruslan Salakhutdinov	[108]
100	François Savard	[122] [131]
101	Rossano Schifanella	[125]
102	Dale Schuurmans	[61] [110] [111]
103	Holger Schwenk	[28] [30] [44]
104	Keith Scott	[34]
105	Jean-Sébastien Senecal	[95]
106	Guillaume Sicard	[122] [131]
107	Clarence Simard	[120]
108	Patrice Y. Simard (Patrice Simard)	[33] [37]
109	Yoram Singer	[29]
110	Ichiro Takeuchi	[57] [59]
111	Joseph P. Turian	[109] [112] [124]
112	Vladimir Vapnik	[60]
113	Pascal Vincent	[46] [49] [55] [57] [62] [64] [67] [70] [72] [79] [80] [97] [100] [115] [116] [117] [118] [126] [134] [135] [140] [143] [146]
114	Jason Weston	[107] [133] [149] [150]
115	Christopher K. I. Williams	[110]
116	Kay Yu	[108]
117	Shi Yi Yue	[83]

Colors in the list of coauthors

Last update Thu May 24 01:13:30 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page