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Representation Learning: A Review and New Perspectives

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1798-1828

2013

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IEEE_Xplore

Gradient-based learning applied to document recognition

Proceedings of the IEEE, 1998-11, Vol.86 (11), p.2278-2324

1998

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IEEE_Xplore

Boosting Neural Networks

Neural computation, 2000-08, Vol.12 (8), p.1869-1887

2000

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Justifying and Generalizing Contrastive Divergence

Neural computation, 2009-06, Vol.21 (6), p.1601-1621

2009

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Inference for the Generalization Error

Machine learning, 2003-09, Vol.52 (3), p.239-281

2003

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A neural probabilistic language model

Journal of machine learning research, 2003-08, Vol.3 (6), p.1137-1155

2003

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Gradient-Based Optimization of Hyperparameters

Neural computation, 2000-08, Vol.12 (8), p.1889-1900

Bengio, Yoshua

2000

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A Parallel Mixture of SVMs for Very Large Scale Problems

Neural computation, 2002-05, Vol.14 (5), p.1105-1114

2002

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Kernel Matching Pursuit

Machine learning, 2002-07, Vol.48 (1-3), p.165-187

2002

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Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1902-1914

2013

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IEEE_Xplore

Using a financial training criterion rather than a prediction criterion

International journal of neural systems, 1997-08, Vol.8 (4), p.433

Bengio, Y

1997

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Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

IEEE transactions on neural networks, 2008-04, Vol.19 (4), p.713-722

2008

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IEEE_Xplore

Learning Eigenfunctions Links Spectral Embedding and Kernel PCA

Neural computation, 2004-10, Vol.16 (10), p.2197-2219

2004

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LeRec: a NN/HMM hybrid for on-line handwriting recognition

Neural computation, 1995-11, Vol.7 (6), p.1289

1995

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Deep learning

2016

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Collaborative Filtering on a Family of Biological Targets

Journal of chemical information and modeling, 2006-03, Vol.46 (2), p.626-635

2006

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Object Recognition with Gradient-Based Learning

Shape, Contour and Grouping in Computer Vision, p.319-345

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A108 AUTOMATED DETECTION OF ILEOCECAL VALVE, APPENDICEAL ORIFICE, AND POLYP DURING COLONOSCOPY USING A DEEP LEARNING MODEL

Journal of the Canadian Association of Gastroenterology, 2023-03, Vol.6 (Supplement_1), p.58-59

2023

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Locally linear embedding for dimensionality reduction in QSAR

Journal of computer-aided molecular design, 2004-07, Vol.18 (7-9), p.475-482

2004

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Model Selection for Small Sample Regression

Machine learning, 2002-07, Vol.48 (1-3), p.9-23

2002

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Taking on the curse of dimensionality in joint distributions using neural networks

IEEE transactions on neural networks, 2000-05, Vol.11 (3), p.550-557

2000

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IEEE_Xplore

Diffusion of Context and Credit Information in Markovian Models

The Journal of artificial intelligence research, 1995-01, Vol.3, p.249-270

1995

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Learning long-term dependencies with gradient descent is difficult

IEEE transactions on neural networks, 1994-03, Vol.5 (2), p.157-166

1994

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IEEE_Xplore

Global training of document processing systems using graph transformer networks

Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, p.489-494

1997

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IEEE_Xplore

A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions

IEEE transactions on neural networks, 2009-07, Vol.20 (7), p.1087-1101

2009

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IEEE_Xplore

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Representation Learning: A Review and New Perspectives

Gradient-based learning applied to document recognition

Boosting Neural Networks

Justifying and Generalizing Contrastive Divergence

Inference for the Generalization Error

A neural probabilistic language model

Gradient-Based Optimization of Hyperparameters

A Parallel Mixture of SVMs for Very Large Scale Problems

Kernel Matching Pursuit

Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning

Using a financial training criterion rather than a prediction criterion

Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

Learning Eigenfunctions Links Spectral Embedding and Kernel PCA

LeRec: a NN/HMM hybrid for on-line handwriting recognition

Deep learning

Collaborative Filtering on a Family of Biological Targets

Object Recognition with Gradient-Based Learning

A108 AUTOMATED DETECTION OF ILEOCECAL VALVE, APPENDICEAL ORIFICE, AND POLYP DURING COLONOSCOPY USING A DEEP LEARNING MODEL

Locally linear embedding for dimensionality reduction in QSAR

Model Selection for Small Sample Regression

Taking on the curse of dimensionality in joint distributions using neural networks

Diffusion of Context and Credit Information in Markovian Models

Learning long-term dependencies with gradient descent is difficult

Global training of document processing systems using graph transformer networks

A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions

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