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Deep learning

author

Yann LeCun

Yoshua Bengio

Geoffrey Hinton

published in: Nature

date of publication: 2015-05-28

language: English

main subject: deep learning

Cites articles 33

Date

Title

Authors

2016-04-19

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio, Kyunghyun Cho, Jimmy Ba, Ryan Kiros
2015-02-25

Human-level control through deep reinforcement learning

Demis Hassabis, Koray Kavukcuoglu, Shane Legg, David Silver, Dharshan Kumaran, Volodymyr Mnih, Marc Bellemare, Joel Veness, Andrei A. Rusu, Stig Petersen, Amir Sadik, Ioannis Antonoglou, Alex Graves
2015-02-17

Deep neural nets as a method for quantitative structure-activity relationships
2014

Semi-supervised Learning with Deep Generative Models

Diederik P. Kingma, Max Welling, Shakir Mohamed, Danilo Jimenez Rezende
2014-06-01

Deep learning of the tissue-regulated splicing code
2014-12-18

RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease

Yoseph Barash, Babak Alipanahi, Hamed S. Najafabadi, Stephen W. Scherer, Quaid D Morris, Adrian Robert Krainer, Benjamin J. Blencowe, Daniele Merico, Ryan Yuen, Brendan J. Frey
2014-12-18

Deep neural networks rival the representation of primate IT cortex for core visual object recognition.

James J. DiCarlo
2013-04-10

From Machine Learning to Machine Reasoning

Léon Bottou
2013-06-05

Deep Generative Stochastic Networks Trainable by Backprop

Yoshua Bengio
2013-08-01

Representation learning: a review and new perspectives

Yoshua Bengio, Aaron C. Courville, Pascal Vincent
2013-09

Modeling Natural Images Using Gated MRFs

Geoffrey Hinton, Volodymyr Mnih
2013-08-01

Connectomic reconstruction of the inner plexiform layer in the mouse retina

Winfried Denk, Viren Jain
2013-08-01

Learning hierarchical features for scene labeling

Laurent Najman, Yann LeCun
2012-02-14

Multi-column deep neural network for traffic sign classification

Jürgen Schmidhuber, Dan Claudiu Cireșan, Ueli Meier
2012-11

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

Geoffrey Hinton, Tara Sainath, Andrew W Senior
2012-01

Acoustic Modeling Using Deep Belief Networks

Geoffrey Hinton
2010-02-01

Convolutional networks can learn to generate affinity graphs for image segmentation.

Winfried Denk, Viren Jain
2008-11

Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey Hinton
2006-07-01

Reducing the dimensionality of data with neural networks

Geoffrey Hinton, Ruslan Salakhutdinov
2006-07-01

A fast learning algorithm for deep belief nets

Geoffrey Hinton, Simon Osindero, Yee Whye Teh
2005-09-01

Toward automatic phenotyping of developing embryos from videos.

Yann LeCun, Léon Bottou
2004-11-01

Convolutional face finder: a neural architecture for fast and robust face detection.
1998

Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio
1997-11-15

Long Short-Term Memory

Jürgen Schmidhuber, Sepp Hochreiter
1997

Face recognition: a convolutional neural-network approach

C. Lee Giles
1995-05-01

The "wake-sleep" algorithm for unsupervised neural networks.

Geoffrey Hinton, Peter Dayan
1994-01-01

Learning long-term dependencies with gradient descent is difficult.

Yoshua Bengio
1991-01-01

Preface: Cerebral Cortex Has Come of Age
1991

Distributed hierarchical processing in the primate cerebral cortex
1989-03

Phoneme recognition using time-delay neural networks

Alexander Waibel, Geoffrey Hinton
1986-10-09

Learning representations by back-propagating errors

Yuanfang Guan
1962-01

Receptive fields, binocular interaction and functional architecture in the cat's visual cortex

Article - wd:Q28018765

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