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Yoshua Bengio: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Renato de Mori, Yoshua Bengio, Régis Cardin
    Data-Driven Execution of Multi-Layered Networks for Automatic Speech Recognition. [Citation Graph (0, 0)][DBLP]
    AAAI, 1988, pp:734-738 [Conf]
  2. Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
    Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    ACL, 2004, pp:287-294 [Conf]
  3. Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun
    Browsing through High Quality Document Images with DjVu. [Citation Graph (0, 0)][DBLP]
    ADL, 1998, pp:309-318 [Conf]
  4. Nicolas Chapados, Yoshua Bengio
    The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2006, pp:491-502 [Conf]
  5. Yves Grandvalet, Yoshua Bengio
    Semi-supervised Learning by Entropy Minimization. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:281-296 [Conf]
  6. Léon Bottou, Yoshua Bengio, Yann LeCun
    Global Training of Document Processing Systems Using Graph Transformer Networks. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:489-494 [Conf]
  7. Léon Bottou, Paul G. Howard, Yoshua Bengio
    The Z-Coder Adaptive Binary Coder. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1998, pp:13-22 [Conf]
  8. Steven Pigeon, Yoshua Bengio
    A Memory-Efficient Adaptive Huffman Coding Algorthm for Very Large Sets of Symbols. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1998, pp:568- [Conf]
  9. Steven Pigeon, Yoshua Bengio
    Binary Pseudowavelets and Applications to Bilevel Image Processing. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1999, pp:364-373 [Conf]
  10. Holger Schwenk, Yoshua Bengio
    AdaBoosting Neural Networks: Application to on-line Character Recognition. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:967-972 [Conf]
  11. Samy Bengio, Yoshua Bengio, Jocelyn Cloutier
    Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:324-327 [Conf]
  12. Renato de Mori, Yoshua Bengio, Piero Cosi
    On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:1531-1536 [Conf]
  13. Yoshua Bengio
    Continuous Optimization of Hyper-Parameters. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:305-310 [Conf]
  14. Yoshua Bengio
    Probabilistic Neural Network Models for Sequential Data. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:79-84 [Conf]
  15. Joumana Ghosn, Yoshua Bengio
    Bias Learning, Knowledge Sharing. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:9-14 [Conf]
  16. Pascal Vincent, Yoshua Bengio
    A Neural Support Vector Network Architecture with Adaptive Kernels. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:187-192 [Conf]
  17. Yoshua Bengio, Hugo Larochelle, Pascal Vincent
    Non-Local Manifold Parzen Windows. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  18. Yoshua Bengio, Martin Monperrus
    Non-Local Manifold Tangent Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  19. Yoshua Bengio, Renato de Mori, Régis Cardin
    Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:218-225 [Conf]
  20. Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe
    Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:175-182 [Conf]
  21. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  22. Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte
    Convex Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  23. Yoshua Bengio, Paolo Frasconi
    Diffusion of Credit in Markovian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:553-560 [Conf]
  24. Yoshua Bengio, Yves Grandvalet
    No Unbiased Estimator of the Variance of K-Fold Cross-Validation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  25. Yoshua Bengio, Francois Gingras
    Recurrent Neural Networks for Missing or Asynchronous Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:395-401 [Conf]
  26. Yoshua Bengio, Samy Bengio
    Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:400-406 [Conf]
  27. Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer
    Shared Context Probabilistic Transducers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  28. Yoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin
    A Neural Network to Detect Homologies in Proteins. [Citation Graph (0, 0)][DBLP]
    NIPS, 1989, pp:423-430 [Conf]
  29. Yoshua Bengio, Yann LeCun, Donnie Henderson
    Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:937-944 [Conf]
  30. Yoshua Bengio, Régis Cardin, Renato de Mori, Piero Cosi
    Use of Multi-Layered Networks for Coding Speech with Phonetic Features. [Citation Graph (0, 0)][DBLP]
    NIPS, 1988, pp:224-231 [Conf]
  31. Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux
    The Curse of Highly Variable Functions for Local Kernel Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  32. Yoshua Bengio, Réjean Ducharme, Pascal Vincent
    A Neural Probabilistic Language Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:932-938 [Conf]
  33. Yoshua Bengio, Paolo Frasconi
    Credit Assignment through Time: Alternatives to Backpropagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:75-82 [Conf]
  34. Yoshua Bengio, Paolo Frasconi
    An Input Output HMM Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:427-434 [Conf]
  35. Léon Bottou, Yoshua Bengio
    Convergence Properties of the K-Means Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:585-592 [Conf]
  36. 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. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1369-1376 [Conf]
  37. Ronan Collobert, Samy Bengio, Yoshua Bengio
    A Parallel Mixture of SVMs for Very Large Scale Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:633-640 [Conf]
  38. Charles Dugas, Yoshua Bengio, François Bélisle, Claude Nadeau, René Garcia
    Incorporating Second-Order Functional Knowledge for Better Option Pricing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:472-478 [Conf]
  39. Joumana Ghosn, Yoshua Bengio
    Multi-Task Learning for Stock Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:946-952 [Conf]
  40. Yves Grandvalet, Yoshua Bengio
    Semi-supervised Learning by Entropy Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  41. Salah El Hihi, Yoshua Bengio
    Hierarchical Recurrent Neural Networks for Long-Term Dependencies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:493-499 [Conf]
  42. Claude Nadeau, Yoshua Bengio
    Inference for the Generalization Error. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:307-313 [Conf]
  43. François Rivest, Yoshua Bengio, John Kalaska
    Brain Inspired Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  44. Holger Schwenk, Yoshua Bengio
    Training Methods for Adaptive Boosting of Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  45. Pascal Vincent, Yoshua Bengio
    K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:985-992 [Conf]
  46. Pascal Vincent, Yoshua Bengio
    Manifold Parzen Windows. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:825-832 [Conf]
  47. Narjès Boufaden, Guy Lapalme, Yoshua Bengio
    Topic Segmentation : A First Stage to Dialog-Based Information Extraction. [Citation Graph (0, 0)][DBLP]
    NLPRS, 2001, pp:273-279 [Conf]
  48. Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio
    Object Recognition with Gradient-Based Learning. [Citation Graph (0, 0)][DBLP]
    Shape, Contour and Grouping in Computer Vision, 1999, pp:319-0 [Conf]
  49. Ronan Collobert, Yoshua Bengio, Samy Bengio
    Scaling Large Learning Problems with Hard Parallel Mixtures. [Citation Graph (0, 0)][DBLP]
    SVM, 2002, pp:8-23 [Conf]
  50. Yoshua Bengio, Yannick Pouliot
    Efficient recognition of immunoglobulin domains from amino acid sequences using a neural network. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1990, v:6, n:4, pp:319-324 [Journal]
  51. Yoshua Bengio, Régis Cardin, Renato de Mori, Ettore Merlo
    Programmable Execution of Multi-Layered Networks for Automatic Speech Recognition. [Citation Graph (0, 0)][DBLP]
    Commun. ACM, 1989, v:32, n:2, pp:195-199 [Journal]
  52. Yoshua Bengio, Francois Gingras, Bernard Goulard, Jean-Marc Lina, Keith Scott
    Gaussian Mixture Densities for Classification of Nuclear Power Plant Data. [Citation Graph (0, 0)][DBLP]
    Computers and Artificial Intelligence, 1998, v:17, n:2-3, pp:- [Journal]
  53. Yoshua Bengio
    Using a Financial Training Criterion Rather than a Prediction Criterion. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:4, pp:433-443 [Journal]
  54. Yoshua Bengio
    A Connectionist Approach to Speech Recognition. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1993, v:7, n:4, pp:647-667 [Journal]
  55. Ronan Collobert, Yoshua Bengio, Samy Bengio
    Scaling Large Learning Problems with Hard Parallel Mixtures. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2003, v:17, n:3, pp:349-365 [Journal]
  56. Yoshua Bengio, Paolo Frasconi
    Diffusion of Context and Credit Information in Markovian Models. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:249-270 [Journal]
  57. Dumitru Erhan, Pierre-Jean L'Heureux, Shi Yi Yue, Yoshua Bengio
    Collaborative Filtering on a Family of Biological Targets. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2006, v:46, n:2, pp:626-635 [Journal]
  58. Yoshua Bengio, Nicolas Chapados
    Extensions to Metric-Based Model Selection. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1209-1227 [Journal]
  59. Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Janvin
    A Neural Probabilistic Language Model. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1137-1155 [Journal]
  60. Yoshua Bengio, Yves Grandvalet
    No Unbiased Estimator of the Variance of K-Fold Cross-Validation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1089-1105 [Journal]
  61. Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
    Model Selection for Small Sample Regression. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:9-23 [Journal]
  62. Yoshua Bengio, Dale Schuurmans
    Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:5-7 [Journal]
  63. Claude Nadeau, Yoshua Bengio
    Inference for the Generalization Error. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2003, v:52, n:3, pp:239-281 [Journal]
  64. Pascal Vincent, Yoshua Bengio
    Kernel Matching Pursuit. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:165-187 [Journal]
  65. Yoshua Bengio
    Gradient-Based Optimization of Hyperparameters. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:8, pp:1889-1900 [Journal]
  66. Samy Bengio, Yoshua Bengio, Jacques Robert, Gilles Bélanger
    Stochastic Learning of Strategic Equilibria for Auctions. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:5, pp:1199-1209 [Journal]
  67. Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet
    Learning Eigenfunctions Links Spectral Embedding and Kernel PCA. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:10, pp:2197-2219 [Journal]
  68. Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges
    LeRec: a NN/HMM hybrid for on-line handwriting recognition. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:6, pp:1289-1303 [Journal]
  69. Yoshua Bengio, Martin Monperrus, Hugo Larochelle
    Nonlocal Estimation of Manifold Structure. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:10, pp:2509-2528 [Journal]
  70. Ronan Collobert, Samy Bengio, Yoshua Bengio
    A Parallel Mixture of SVMs for Very Large Scale Problems. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:5, pp:1105-1114 [Journal]
  71. Holger Schwenk, Yoshua Bengio
    Boosting Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:8, pp:1869-1887 [Journal]
  72. Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
    Robust Regression with Asymmetric Heavy-Tail Noise Distributions. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:10, pp:2469-2496 [Journal]
  73. Yoshua Bengio, Renato de Mori, Marco Gori
    Learning the dynamic nature of speech with back-propagation for sequences. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1992, v:13, n:5, pp:375-385 [Journal]
  74. Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio
    An empirical evaluation of deep architectures on problems with many factors of variation. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:473-480 [Conf]
  75. Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle
    Greedy Layer-Wise Training of Deep Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:153-160 [Conf]

  76. Zero-data Learning of New Tasks. [Citation Graph (, )][DBLP]


  77. Classification using discriminative restricted Boltzmann machines. [Citation Graph (, )][DBLP]


  78. Extracting and composing robust features with denoising autoencoders. [Citation Graph (, )][DBLP]


  79. Curriculum learning. [Citation Graph (, )][DBLP]


  80. Workshop summary: Workshop on learning feature hierarchies. [Citation Graph (, )][DBLP]


  81. Quadratic Features and Deep Architectures for Chunking. [Citation Graph (, )][DBLP]


  82. Topmoumoute Online Natural Gradient Algorithm. [Citation Graph (, )][DBLP]


  83. Learning the 2-D Topology of Images. [Citation Graph (, )][DBLP]


  84. Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. [Citation Graph (, )][DBLP]


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