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Yoshua Bengio

2010 – today

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2013
[j69]
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Héctor Perez Martínez, Yoshua Bengio, Georgios N. Yannakakis: Learning Deep Physiological Models of Affect. IEEE Comp. Int. Mag. 8(2): 20-33 (2013)
[i33]
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  - journals/corr/abs-1301-3485
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Xavier Glorot, Antoine Bordes, Jason Weston, Yoshua Bengio: A Semantic Matching Energy Function for Learning with Multi-relational Data. CoRR abs/1301.3485 (2013)
[i32]
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  - journals/corr/abs-1301-3545
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Guillaume Desjardins, Razvan Pascanu, Aaron C. Courville, Yoshua Bengio: Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines. CoRR abs/1301.3545 (2013)
[i31]
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  - journals/corr/abs-1301-3568
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Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio: Joint Training Deep Boltzmann Machines for Classification. CoRR abs/1301.3568 (2013)
[i30]
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  - journals/corr/abs-1301-3583
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Yann Dauphin, Yoshua Bengio: Big Neural Networks Waste Capacity. CoRR abs/1301.3583 (2013)
[i29]
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  - journals/corr/abs-1301-3584
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Razvan Pascanu, Yoshua Bengio: Natural Gradient Revisited. CoRR abs/1301.3584 (2013)
[i28]
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  - journals/corr/abs-1301-4083
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Çaglar Gülçehre, Yoshua Bengio: Knowledge Matters: Importance of Prior Information for Optimization. CoRR abs/1301.4083 (2013)
[i27]
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  - journals/corr/abs-1302-4389
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Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron C. Courville, Yoshua Bengio: Maxout Networks. CoRR abs/1302.4389 (2013)
[i26]
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  - journals/corr/abs-1305-0445
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Yoshua Bengio: Deep Learning of Representations: Looking Forward. CoRR abs/1305.0445 (2013)
[i25]
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  - journals/corr/abs-1305-2982
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Yoshua Bengio: Estimating or Propagating Gradients Through Stochastic Neurons. CoRR abs/1305.2982 (2013)
[i24]
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  - journals/corr/abs-1305-6663
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Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent: Generalized Denoising Auto-Encoders as Generative Models. CoRR abs/1305.6663 (2013)
2012
[j68]
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  - journals/ci/BengioCDLSHL12
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Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon, Jérôme Louradour: Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine. Computational Intelligence 28(2): 261-288 (2012)
[j67]
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  - journals/jmlr/BergstraB12
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James Bergstra, Yoshua Bengio: Random Search for Hyper-Parameter Optimization. Journal of Machine Learning Research 13: 281-305 (2012)
[j66]
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  - journals/jmlr/LarochelleMPB12
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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)
[j65]
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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)
[j64]
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Yoshua Bengio: Deep Learning of Representations for Unsupervised and Transfer Learning. Journal of Machine Learning Research - Proceedings Track 27: 17-36 (2012)
[j63]
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  - journals/jmlr/MesnilDGRBGLMDWVCB12
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Grégoire Mesnil, Yann Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian J. Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, Pascal Vincent, Aaron C. Courville, James Bergstra: Unsupervised and Transfer Learning Challenge: a Deep Learning Approach. Journal of Machine Learning Research - Proceedings Track 27: 97-110 (2012)
[j62]
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  - journals/tciaig/DelalleauCTFBZ12
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Olivier Delalleau, Emile Contal, Eric Thibodeau-Laufer, Raul Chandias Ferrari, Yoshua Bengio, Frank Zhang: Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online. IEEE Trans. Comput. Intellig. and AI in Games 4(3): 167-177 (2012)
[c87]
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  - conf/acl/SocherBM12
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Richard Socher, Yoshua Bengio, Christopher D. Manning: Deep Learning for NLP (without Magic). ACL (Tutorial Abstracts) 2012: 5
[c86]
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  - conf/eccv/RifaiBCVM12
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Salah Rifai, Yoshua Bengio, Aaron C. Courville, Pascal Vincent, Mehdi Mirza: Disentangling Factors of Variation for Facial Expression Recognition. ECCV (6) 2012: 808-822
[c85]
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  - conf/icml/Boulanger-LewandowskiBV12
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Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent: Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription. ICML 2012
[c84]
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  - conf/icml/GoodfellowCB12
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Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio: Large-Scale Feature Learning With Spike-and-Slab Sparse Coding. ICML 2012
[c83]
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  - conf/icml/RifaiDVB12
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Salah Rifai, Yann Dauphin, Pascal Vincent, Yoshua Bengio: A Generative Process for Contractive Auto-Encoders. ICML 2012
[c82]
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  - conf/ismir/Boulanger-LewandowskiBV12
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Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent: Discriminative Non-negative Matrix Factorization for Multiple Pitch Estimation. ISMIR 2012: 205-210
[c81]
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Philippe Hamel, Yoshua Bengio, Douglas Eck: Building Musically-relevant Audio Features through Multiple Timescale Representations. ISMIR 2012: 553-558
[i23]
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  - journals/corr/abs-1201-3382
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Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio: Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery. CoRR abs/1201.3382 (2012)
[i22]
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  - journals/corr/abs-1203-2990
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Yoshua Bengio: Evolving Culture vs Local Minima. CoRR abs/1203.2990 (2012)
[i21]
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  - journals/corr/abs-1203-4416
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Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: On Training Deep Boltzmann Machines. CoRR abs/1203.4416 (2012)
[i20]
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  - journals/corr/abs-1206-5533
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Yoshua Bengio: Practical recommendations for gradient-based training of deep architectures. CoRR abs/1206.5533 (2012)
[i19]
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  - journals/corr/abs-1206-5538
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Yoshua Bengio, Aaron C. Courville, Pascal Vincent: Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives. CoRR abs/1206.5538 (2012)
[i18]
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  - journals/corr/abs-1207-0057
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Yoshua Bengio, Guillaume Alain, Salah Rifai: Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders. CoRR abs/1207.0057 (2012)
[i17]
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  - journals/corr/abs-1207-4404
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Yoshua Bengio, Grégoire Mesnil, Yann Dauphin, Salah Rifai: Better Mixing via Deep Representations. CoRR abs/1207.4404 (2012)
[i16]
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  - journals/corr/abs-1209-0521
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Olivier Delalleau, Aaron C. Courville, Yoshua Bengio: Efficient EM Training of Gaussian Mixtures with Missing Data. CoRR abs/1209.0521 (2012)
[i15]
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  - journals/corr/abs-1210-5474
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Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: Disentangling Factors of Variation via Generative Entangling. CoRR abs/1210.5474 (2012)
[i14]
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  - journals/corr/abs-1211-4246
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Guillaume Alain, Yoshua Bengio, Salah Rifai: Regularized Auto-Encoders Estimate Local Statistics. CoRR abs/1211.4246 (2012)
[i13]
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  - journals/corr/abs-1211-5063
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Razvan Pascanu, Tomas Mikolov, Yoshua Bengio: Understanding the exploding gradient problem. CoRR abs/1211.5063 (2012)
[i12]
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  - journals/corr/abs-1211-5590
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Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian J. Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, Yoshua Bengio: Theano: new features and speed improvements. CoRR abs/1211.5590 (2012)
[i11]
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  - journals/corr/abs-1211-5687
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Heng Luo, Pierre Luc Carrier, Aaron C. Courville, Yoshua Bengio: Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions. CoRR abs/1211.5687 (2012)
[i10]
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  - journals/corr/abs-1212-0901
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Yoshua Bengio, Nicolas Boulanger-Lewandowski, Razvan Pascanu: Advances in Optimizing Recurrent Networks. CoRR abs/1212.0901 (2012)
[i9]
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  - journals/corr/abs-1212-1936
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Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent: High-dimensional sequence transduction. CoRR abs/1212.1936 (2012)
[i8]
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  - journals/corr/abs-1212-2686
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Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio: Joint Training of Deep Boltzmann Machines. CoRR abs/1212.2686 (2012)
2011
[j61]
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  - journals/jmlr/Bengio11
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Yoshua Bengio: Discussion of "The Neural Autoregressive Distribution Estimator". Journal of Machine Learning Research - Proceedings Track 15: 38-39 (2011)
[j60]
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  - journals/jmlr/BengioBBBBCCCEEGMLPRSS11
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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)
[j59]
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  - journals/jmlr/CourvilleBB11
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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)
[j58]
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  - journals/jmlr/GlorotBB11
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Xavier Glorot, Antoine Bordes, Yoshua Bengio: Deep Sparse Rectifier Neural Networks. Journal of Machine Learning Research - Proceedings Track 15: 315-323 (2011)
[j57]
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  - journals/neco/BergstraBL11
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James Bergstra, Yoshua Bengio, Jérôme Louradour: Suitability of V1 Energy Models for Object Classification. Neural Computation 23(3): 774-790 (2011)
[j56]
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  - journals/neco/BreuleuxBV11
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Olivier Breuleux, Yoshua Bengio, Pascal Vincent: Quickly Generating Representative Samples from an RBM-Derived Process. Neural Computation 23(8): 2058-2073 (2011)
[j55]
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  - journals/tomccap/MandelPEBASM11
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Michael I. Mandel, Razvan Pascanu, Douglas Eck, Yoshua Bengio, Luca Maria Aiello, Rossano Schifanella, Filippo Menczer: Contextual tag inference. TOMCCAP 7(Supplement): 32 (2011)
[c80]
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  - conf/aaai/BordesWCB11
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Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio: Learning Structured Embeddings of Knowledge Bases. AAAI 2011
[c79]
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  - conf/alt/BengioD11
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Yoshua Bengio, Olivier Delalleau: On the Expressive Power of Deep Architectures. ALT 2011: 18-36
[c78]
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  - conf/dis/BengioD11
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Yoshua Bengio, Olivier Delalleau: On the Expressive Power of Deep Architectures. Discovery Science 2011: 1
[c77]
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  - conf/icml/GlorotBB11
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Xavier Glorot, Antoine Bordes, Yoshua Bengio: Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. ICML 2011: 513-520
[c76]
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  - conf/icml/RifaiVMGB11
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Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio: Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. ICML 2011: 833-840
[c75]
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  - conf/icml/DauphinGB11
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Yann Dauphin, Xavier Glorot, Yoshua Bengio: Large-Scale Learning of Embeddings with Reconstruction Sampling. ICML 2011: 945-952
[c74]
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  - conf/icml/CourvilleBB11
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Aaron C. Courville, James Bergstra, Yoshua Bengio: Unsupervised Models of Images by Spikeand-Slab RBMs. ICML 2011: 1145-1152
[c73]
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  - conf/ismir/HamelLBE11
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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
[c72]
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  - conf/nips/DelalleauB11
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Olivier Delalleau, Yoshua Bengio: Shallow vs. Deep Sum-Product Networks. NIPS 2011: 666-674
[c71]
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  - conf/nips/RifaiDVBM11
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Salah Rifai, Yann Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller: The Manifold Tangent Classifier. NIPS 2011: 2294-2302
[c70]
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  - conf/nips/DesjardinsCB11
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Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: On Tracking The Partition Function. NIPS 2011: 2501-2509
[c69]
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  - conf/nips/BergstraBBK11
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James Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl: Algorithms for Hyper-Parameter Optimization. NIPS 2011: 2546-2554
[c68]
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  - conf/pkdd/RifaiMVMBDG11
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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
[i7]
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  - journals/corr/abs-1103-2832
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Michael I. Mandel, Razvan Pascanu, Hugo Larochelle, Yoshua Bengio: Autotagging music with conditional restricted Boltzmann machines. CoRR abs/1103.2832 (2011)
[i6]
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  - journals/corr/abs-1104-3250
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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)
[i5]
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  - journals/corr/abs-1104-4153
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Salah Rifai, Xavier Muller, Xavier Glorot, Grégoire Mesnil, Yoshua Bengio, Pascal Vincent: Learning invariant features through local space contraction. CoRR abs/1104.4153 (2011)
[i4]
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  - journals/corr/abs-1107-3663
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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)
[i3]
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  - journals/corr/abs-1109-6638
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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)
2010
[j54]
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  - journals/ci/BengioDS10
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Yoshua Bengio, Olivier Delalleau, Clarence Simard: Decision trees do not generalize to new variations. Computational Intelligence 26(4): 449-467 (2010)
[j53]
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  - journals/jcns/RivestKB10
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François Rivest, John Kalaska, Yoshua Bengio: Alternative time representation in dopamine models. Journal of Computational Neuroscience 28(1): 107-130 (2010)
[j52]
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  - journals/jmlr/DesjardinsCBVD10
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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)
[j51]
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  - journals/jmlr/ErhanCBV10
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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)
[j50]
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  - journals/jmlr/GlorotB10
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Xavier Glorot, Yoshua Bengio: Understanding the difficulty of training deep feedforward neural networks. Journal of Machine Learning Research - Proceedings Track 9: 249-256 (2010)
[j49]
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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)
[j48]
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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)
[j47]
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Nicolas Le Roux, Yoshua Bengio: Deep Belief Networks Are Compact Universal Approximators. Neural Computation 22(8): 2192-2207 (2010)
[j46]
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Hugo Larochelle, Yoshua Bengio, Joseph P. Turian: Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest. Neural Computation 22(9): 2285-2307 (2010)
[c67]
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  - conf/acl/TurianRB10
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Joseph P. Turian, Lev-Arie Ratinov, Yoshua Bengio: Word Representations: A Simple and General Method for Semi-Supervised Learning. ACL 2010: 384-394
[c66]
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Michael I. Mandel, Douglas Eck, Yoshua Bengio: Learning Tags that Vary Within a Song. ISMIR 2010: 399-404
[i2]
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  - journals/corr/abs-1009-3589
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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)
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  - journals/corr/abs-1012-3476
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Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio: Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs. CoRR abs/1012.3476 (2010)

2000 – 2009

see FAQ

What is the meaning of the colors in the publication list?

2009
[j45]
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Yoshua Bengio: Learning Deep Architectures for AI. Foundations and Trends in Machine Learning 2(1): 1-127 (2009)
[j44]
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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)
[j43]
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Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin: Exploring Strategies for Training Deep Neural Networks. Journal of Machine Learning Research 10: 1-40 (2009)
[j42]
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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)
[j41]
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Yoshua Bengio, Olivier Delalleau: Justifying and Generalizing Contrastive Divergence. Neural Computation 21(6): 1601-1621 (2009)
[j40]
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Julie Carreau, Yoshua Bengio: A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions. IEEE Transactions on Neural Networks 20(7): 1087-1101 (2009)
[c65]
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  - conf/icml/BengioLCW09
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Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston: Curriculum learning. ICML 2009: 6
[c64]
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  - conf/icml/YuSLHB09
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Kay Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio: Workshop summary: Workshop on learning feature hierarchies. ICML 2009: 165
[c63]
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  - conf/naacl/TurianBB09
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Joseph P. Turian, James Bergstra, Yoshua Bengio: Quadratic Features and Deep Architectures for Chunking. HLT-NAACL (Short Papers) 2009: 245-248
[c62]
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James Bergstra, Yoshua Bengio: Slow, Decorrelated Features for Pretraining Complex Cell-like Networks. NIPS 2009: 99-107
[c61]
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  - conf/nips/CourvilleEB09
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Aaron C. Courville, Douglas Eck, Yoshua Bengio: An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. NIPS 2009: 405-413
[e2]
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  - conf/nips/2008
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Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou (Eds.): 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
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Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta (Eds.): 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, ISBN 9781615679119
2008
[j39]
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  - journals/neco/RouxB08
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Nicolas Le Roux, Yoshua Bengio: Representational Power of Restricted Boltzmann Machines and Deep Belief Networks. Neural Computation 20(6): 1631-1649 (2008)
[j38]
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Yoshua Bengio: Neural net language models. Scholarpedia 3(1): 3881 (2008)
[j37]
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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)
[c60]
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Hugo Larochelle, Dumitru Erhan, Yoshua Bengio: Zero-data Learning of New Tasks. AAAI 2008: 646-651
[c59]
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  - conf/icml/LarochelleB08
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Hugo Larochelle, Yoshua Bengio: Classification using discriminative restricted Boltzmann machines. ICML 2008: 536-543
[c58]
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  - conf/icml/VincentLBM08
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Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol: Extracting and composing robust features with denoising autoencoders. ICML 2008: 1096-1103
2007
[j36]
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Nicolas Chapados, Yoshua Bengio: Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. JCP 2(1): 12-19 (2007)
[j35]
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  - journals/jmlr/CarreauB07
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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)
[j34]
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  - journals/jmlr/RouxB07
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Nicolas Le Roux, Yoshua Bengio: Continuous Neural Networks. Journal of Machine Learning Research - Proceedings Track 2: 404-411 (2007)
[c57]
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  - conf/icml/LarochelleECBB07
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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
[c56]
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Nicolas Chapados, Yoshua Bengio: Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. NIPS 2007
[c55]
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  - conf/nips/RouxBLJK07
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Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl: Learning the 2-D Topology of Images. NIPS 2007
[c54]
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Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua Bengio: Topmoumoute Online Natural Gradient Algorithm. NIPS 2007
2006
[j33]
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  - journals/jcisd/ErhanLYB06
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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)
[j32]
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Yoshua Bengio, Martin Monperrus, Hugo Larochelle: Nonlocal Estimation of Manifold Structure. Neural Computation 18(10): 2509-2528 (2006)
[c53]
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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
[c52]
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Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle: Greedy Layer-Wise Training of Deep Networks. NIPS 2006: 153-160
2005
[c51]
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Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. CAP 2005: 281-296
[c50]
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  - conf/nips/BengioDR05
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Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux: The Curse of Highly Variable Functions for Local Kernel Machines. NIPS 2005
[c49]
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Yoshua Bengio, Hugo Larochelle, Pascal Vincent: Non-Local Manifold Parzen Windows. NIPS 2005
[c48]
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  - conf/nips/BengioRVDM05
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Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte: Convex Neural Networks. NIPS 2005
2004
[j31]
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Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. Journal of Machine Learning Research 5: 1089-1105 (2004)
[j30]
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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)
[c47]
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  - conf/acl/BhattacharyaGB04
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Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio: Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. ACL 2004: 287-294
[c46]
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Yoshua Bengio, Martin Monperrus: Non-Local Manifold Tangent Learning. NIPS 2004
[c45]
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Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. NIPS 2004
[c44]
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  - conf/nips/RivestBK04
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François Rivest, Yoshua Bengio, John Kalaska: Brain Inspired Reinforcement Learning. NIPS 2004
2003
[j29]
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  - journals/ijprai/CollobertB03
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Ronan Collobert, Yoshua Bengio, Samy Bengio: Scaling Large Learning Problems with Hard Parallel Mixtures. IJPRAI 17(3): 349-365 (2003)
[j28]
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  - journals/jmlr/BengioDVJ03
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Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Janvin: A Neural Probabilistic Language Model. Journal of Machine Learning Research 3: 1137-1155 (2003)
[j27]
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Yoshua Bengio, Nicolas Chapados: Extensions to Metric-Based Model Selection. Journal of Machine Learning Research 3: 1209-1227 (2003)
[j26]
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  - journals/ml/NadeauB03
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Claude Nadeau, Yoshua Bengio: Inference for the Generalization Error. Machine Learning 52(3): 239-281 (2003)
[j25]
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  - journals/tnn/GhosnB03
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Joumana Ghosn, Yoshua Bengio: Bias learning, knowledge sharing. IEEE Transactions on Neural Networks 14(4): 748-765 (2003)
[c43]
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Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. NIPS 2003
[c42]
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  - conf/nips/BengioPVDRO03
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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
2002
[j24]
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  - journals/ml/BengioS02
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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)
[j23]
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Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio: Model Selection for Small Sample Regression. Machine Learning 48(1-3): 9-23 (2002)
[j22]
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  - journals/ml/VincentB02
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Pascal Vincent, Yoshua Bengio: Kernel Matching Pursuit. Machine Learning 48(1-3): 165-187 (2002)
[j21]
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  - journals/neco/CollobertBB02
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Ronan Collobert, Samy Bengio, Yoshua Bengio: A Parallel Mixture of SVMs for Very Large Scale Problems. Neural Computation 14(5): 1105-1114 (2002)
[j20]
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Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori: Robust Regression with Asymmetric Heavy-Tail Noise Distributions. Neural Computation 14(10): 2469-2496 (2002)
[c41]
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Pascal Vincent, Yoshua Bengio: Manifold Parzen Windows. NIPS 2002: 825-832
[c40]
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  - conf/svm/CollobertBB02
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Ronan Collobert, Yoshua Bengio, Samy Bengio: Scaling Large Learning Problems with Hard Parallel Mixtures. SVM 2002: 8-23
2001
[j19]
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  - journals/tnn/BengioLD01
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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)
[j18]
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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)
[c39]
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Ronan Collobert, Samy Bengio, Yoshua Bengio: A Parallel Mixture of SVMs for Very Large Scale Problems. NIPS 2001: 633-640
[c38]
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Pascal Vincent, Yoshua Bengio: K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms. NIPS 2001: 985-992
[c37]
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  - conf/nips/ChapadosBVGDTM01
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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
[c36]
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  - conf/nlprs/BoufadenLB01
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Narjès Boufaden, Guy Lapalme, Yoshua Bengio: Topic Segmentation : A First Stage to Dialog-Based Information Extraction. NLPRS 2001: 273-279
2000
[j17]
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  - journals/neco/SchwenkB00
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Holger Schwenk, Yoshua Bengio: Boosting Neural Networks. Neural Computation 12(8): 1869-1887 (2000)
[j16]
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Yoshua Bengio: Gradient-Based Optimization of Hyperparameters. Neural Computation 12(8): 1889-1900 (2000)
[j15]
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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)
[c35]
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  - conf/ijcnn/GhosnB00
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Joumana Ghosn, Yoshua Bengio: Bias Learning, Knowledge Sharing. IJCNN (1) 2000: 9-14
[c34]
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  - conf/ijcnn/Bengio00a
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Yoshua Bengio: Probabilistic Neural Network Models for Sequential Data. IJCNN (5) 2000: 79-84
[c33]
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  - conf/ijcnn/VincentB00
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Pascal Vincent, Yoshua Bengio: A Neural Support Vector Network Architecture with Adaptive Kernels. IJCNN (5) 2000: 187-192
[c32]
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Yoshua Bengio: Continuous Optimization of Hyper-Parameters. IJCNN (1) 2000: 305-310
[c31]
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  - conf/nips/DugasBBNG00
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Charles Dugas, Yoshua Bengio, François Bélisle, Claude Nadeau, René Garcia: Incorporating Second-Order Functional Knowledge for Better Option Pricing. NIPS 2000: 472-478
[c30]
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  - conf/nips/BengioDV00
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Yoshua Bengio, Réjean Ducharme, Pascal Vincent: A Neural Probabilistic Language Model. NIPS 2000: 932-938

1990 – 1999

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1999
[j14]
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Samy Bengio, Yoshua Bengio, Jacques Robert, Gilles Bélanger: Stochastic Learning of Strategic Equilibria for Auctions. Neural Computation 11(5): 1199-1209 (1999)
[c29]
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Steven Pigeon, Yoshua Bengio: Binary Pseudowavelets and Applications to Bilevel Image Processing. Data Compression Conference 1999: 364-373
[c28]
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Claude Nadeau, Yoshua Bengio: Inference for the Generalization Error. NIPS 1999: 307-313
[c27]
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Yoshua Bengio, Samy Bengio: Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks. NIPS 1999: 400-406
[c26]
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  dblp key:
  - conf/shape/CunHBB99
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Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio: Object Recognition with Gradient-Based Learning. Shape, Contour and Grouping in Computer Vision 1999: 319-
1998
[j13]
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  - journals/cai/BengioGGLS98
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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)
[j12]
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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)
[c25]
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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
[c24]
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Léon Bottou, Paul G. Howard, Yoshua Bengio: The Z-Coder Adaptive Binary Coder. Data Compression Conference 1998: 13-22
[c23]
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Steven Pigeon, Yoshua Bengio: A Memory-Efficient Adaptive Huffman Coding Algorthm for Very Large Sets of Symbols. Data Compression Conference 1998: 568
1997
[j11]
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  - journals/ijns/Bengio97
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Yoshua Bengio: Using a Financial Training Criterion Rather than a Prediction Criterion. Int. J. Neural Syst. 8(4): 433-443 (1997)
[c22]
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  - conf/cvpr/BottouBL97
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Léon Bottou, Yoshua Bengio, Yann LeCun: Global Training of Document Processing Systems Using Graph Transformer Networks. CVPR 1997: 489-494
[c21]
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  - conf/icann/SchwenkB97
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Holger Schwenk, Yoshua Bengio: AdaBoosting Neural Networks: Application to on-line Character Recognition. ICANN 1997: 967-972
[c20]
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  - conf/interspeech/RahimBL97
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Mazin Rahim, Yoshua Bengio, Yann LeCun: Discriminative feature and model design for automatic speech recognition. EUROSPEECH 1997
[c19]
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  - conf/nips/BengioBIS97
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Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer: Shared Context Probabilistic Transducers. NIPS 1997
[c18]
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Holger Schwenk, Yoshua Bengio: Training Methods for Adaptive Boosting of Neural Networks. NIPS 1997
1996
[j10]
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  - journals/tnn/BengioF96
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Yoshua Bengio, Paolo Frasconi: Input-output HMMs for sequence processing. IEEE Trans. Neural Netw. Learning Syst. 7(5): 1231-1249 (1996)
[c17]
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  - conf/nips/GhosnB96
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Joumana Ghosn, Yoshua Bengio: Multi-Task Learning for Stock Selection. NIPS 1996: 946-952
1995
[j9]
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  - journals/jair/BengioF95
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Yoshua Bengio, Paolo Frasconi: Diffusion of Context and Credit Information in Markovian Models. J. Artif. Intell. Res. (JAIR) 3: 249-270 (1995)
[j8]
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  - journals/neco/BengioLNB95
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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)
[j7]
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  - journals/npl/BengioBC95
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Samy Bengio, Yoshua Bengio, Jocelyn Cloutier: On the search for new learning rules for ANNs. Neural Processing Letters 2(4): 26-30 (1995)
[c16]
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  - conf/nips/BengioG95
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Yoshua Bengio, Francois Gingras: Recurrent Neural Networks for Missing or Asynchronous Data. NIPS 1995: 395-401
[c15]
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  - conf/nips/HihiB95
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Salah El Hihi, Yoshua Bengio: Hierarchical Recurrent Neural Networks for Long-Term Dependencies. NIPS 1995: 493-499
1994
[c14]
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  - conf/icec/BengioBC94
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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
[c13]
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Yoshua Bengio, Paolo Frasconi: An Input Output HMM Architecture. NIPS 1994: 427-434
[c12]
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  - conf/nips/BengioF94a
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Yoshua Bengio, Paolo Frasconi: Diffusion of Credit in Markovian Models. NIPS 1994: 553-560
[c11]
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Léon Bottou, Yoshua Bengio: Convergence Properties of the K-Means Algorithms. NIPS 1994: 585-592
1993
[j6]
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  - journals/ijprai/Bengio93
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Yoshua Bengio: A Connectionist Approach to Speech Recognition. IJPRAI 7(4): 647-667 (1993)
[c10]
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Yoshua Bengio, Paolo Frasconi: Credit Assignment through Time: Alternatives to Backpropagation. NIPS 1993: 75-82
[c9]
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  - conf/nips/BengioCH93
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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
1992
[j5]
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  - journals/prl/BengioMG92
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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)
[j4]
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  dblp key:
  - journals/speech/BengioMFK92
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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
[c8]
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Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe: Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks. EUROSPEECH 1991
[c7]
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Yoshua Bengio, Renato de Mori, Giovanni Flammia, Ralf Kompe: A comparative study on hybrid acoustic phonetic decoders based on artificial neural networks. EUROSPEECH 1991
[c6]
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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
[j3]
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  - journals/bioinformatics/BengioP90
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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)
[j2]
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  - journals/speech/CosiBM90
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Piero Cosi, Yoshua Bengio, Renato de Mori: Phonetically-based multi-layered neural networks for vowel classification. Speech Communication 9(1): 15-29 (1990)

1980 – 1989

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1989
[j1]
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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)
[c5]
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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
[c4]
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Yoshua Bengio, Renato de Mori, Régis Cardin: Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge. NIPS 1989: 218-225
[c3]
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Yoshua Bengio, Samy Bengio, Yannick Pouliot, Patrick Agin: A Neural Network to Detect Homologies in Proteins. NIPS 1989: 423-430
1988
[c2]
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Renato de Mori, Yoshua Bengio, Régis Cardin: Data-Driven Execution of Multi-Layered Networks for Automatic Speech Recognition. AAAI 1988: 734-738
[c1]
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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

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