About
Discord Stateoftheart AI
GitHub

Publications

980

Cited by

317923

Yoshua Bengio

machine learningdeep learningartificial intelligence
Université de Montréal

Canada

Papers and Citations

1 - 50
Gradient-based learning applied to document recognition
1998
Leon Bottou
Yoshua Bengio
Yann LeCun
+1
Cited by 31512
Generative Adversarial Nets
2014
Aaron Courville
Ian Goodfellow
Jean Pouget-Abadie
+5
Cited by 22697
Neural machine translation by jointly learning to align and translate
2014
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
Cited by 15243
Learning phrase representations using RNN encoder-decoder for statistical machine translation
2014
Kyunghyun Cho
Dzmitry Bahdanau
Fethi bougares
+4
Cited by 14212
Understanding the difficulty of training deep feedforward neural networks
2010
Xavier Glorot
Yoshua Bengio
Cited by 12737
Learning deep architectures for AI
2009
Yoshua Bengio
Cited by 9623
Representation learning: A review and new perspectives
2013
Pascal Vincent
Aaron Courville
Yoshua Bengio
Cited by 9117
Pattern recognition and neural networks
1995
Yann LeCun
Yoshua Bengio
Cited by 8676
Show, attend and tell: Neural image caption generation with visual attention
2015
Yoshua Bengio
Kyunghyun Cho
Kelvin Xu
+5
Cited by 7151
A neural probabilistic language model
2003
Pascal Vincent
Yoshua Bengio
R Ducharme
Cited by 7020
Deep sparse rectifier neural networks
2011
Antoine Bordes
Xavier Glorot
Yoshua Bengio
Cited by 6936
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion.
2010
Pierre-Antoine Manzagol
Isabelle Lajoie
Pascal Vincent
+5
Cited by 6075
Random search for hyper-parameter optimization.
2012
James Bergstra
Yoshua Bengio
Cited by 5892
Learning long-term dependencies with gradient descent is difficult
1994
Patrice Simard
Paolo Frasconi
Yoshua Bengio
Cited by 5890
How transferable are features in deep neural networks?
2014
Jason Yosinski
Jeff Clune
Yoshua Bengio
+1
Cited by 5862
Continuous control with deep reinforcement learning
2009
Jonathan J Hunt
Timothy P. Lillicrap
Tom Erez
+4
Cited by 5855
Extracting and composing robust features with denoising autoencoders
2008
Pierre-Antoine Manzagol
Pascal Vincent
Yoshua Bengio
+2
Cited by 5636
Empirical evaluation of gated recurrent neural networks on sequence modeling
2014
Caglar Gulcehre
Junyoung Chung
Yoshua Bengio
+1
Cited by 5618
Greedy layer-wise training of deep networks
2007
Yoshua Bengio
Pascal Lamblin
Hugo Larochelle
+1
Cited by 5030
Random search for hyper-parameter optimization
2012
James Bergstra
Yoshua Bengio
Cited by 4829
Graph attention networks
2017
Pietro Lio
Petar Veličković
Guillem Cucurull
+4
Cited by 3900
Convolutional networks for images, speech, and time series
1995
Yoshua Bengio
Yann LeCun
Cited by 3767
On the difficulty of training recurrent neural networks
2013
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
Cited by 3482
On the properties of neural machine translation: Encoder-decoder approaches
2014
Yoshua Bengio
Kyunghyun Cho
Bart van Merriënboer
+1
Cited by 3156
Curriculum learning
2009
Jerome Louradour
Yoshua Bengio
Jason Weston
+1
Cited by 2872
Why does unsupervised pre-training help deep learning?
2010
Aaron Courville
Yoshua Bengio
Pascal Vincent
+1
Cited by 2587
Word representations: a simple and general method for semi-supervised learning
2010
Joseph Turian
Yoshua Bengio
L Ratinov
Cited by 2466
Theano: A CPU and GPU math compiler in Python
2010
Razvan Pascanu
Olivier Breuleux
Joseph Turian
+6
Cited by 2434
Theano: a CPU and GPU math expression compiler
2010
Yoshua Bengio
Olivier Breuleux
Frédéric Bastien
+6
Cited by 2434
Maxout networks
2013
Aaron Courville
Yoshua Bengio
Ian Goodfellow
+2
Cited by 2404
Binarized neural networks
2016
Matthieu Courbariaux
Yoshua Bengio
Ran El-Yaniv
+2
Cited by 2312
Algorithms for hyper-parameter optimization
2011
Yoshua Bengio
Rémi Bardenet
James Bergstra
+1
Cited by 2075
Binaryconnect: Training deep neural networks with binary weights during propagations
2015
Matthieu Courbariaux
Yoshua Bengio
Jean Pierre David
Cited by 2059
Brain tumor segmentation with deep neural networks
2017
David Warde-Farley
Chris Pal
Axel Davy
+6
Cited by 1973
Practical recommendations for gradient-based training of deep architectures
2012
Yoshua Bengio
Cited by 1780
Domain adaptation for large-scale sentiment classification: A deep learning approach
2011
Antoine Bordes
Yoshua Bengio
Xavier Glorot
Cited by 1780
Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1
2016
Ran El-Yaniv
Matthieu Courbariaux
Yoshua Bengio
+2
Cited by 1655
Fitnets: Hints for thin deep nets
2014
Antoine Chassang
Adriana Romero
Carlo Gatta
+4
Cited by 1603
Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
2001
Juergen Schmidhuber
Paolo Frasconi
Yoshua Bengio
+1
Cited by 1508
Attention-based models for speech recognition
2015
Jan Chorowski
Kyunghyun Cho
Dmitriy Serdyuk
+2
Cited by 1496
Theano: new features and speed improvements
2012
Yoshua Bengio
Pascal Lamblin
Razvan Pascanu
+6
Cited by 1481
Building end-to-end dialogue systems using generative hierarchical neural network models
2015
Joelle Pineau
Alessandro Sordoni
Aaron Courville
+2
Cited by 1385
Contractive auto-encoders: Explicit invariance during feature extraction
2011
Xavier Glorot
Salah Rifai
Pascal Vincent
+2
Cited by 1377
A structured self-attentive sentence embedding
2017
Mo Yu
Cicero Nogueira dos Santos
Zhouhan Lin（林洲汉）
+7
Cited by 1348
Scaling learning algorithms towards AI
2007
Yoshua Bengio
Yann LeCun
Cited by 1284
Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering
2004
Yoshua Bengio
Pascal Vincent
Olivier Delalleau
+3
Cited by 1202
Deep learning of representations for unsupervised and transfer learning
2012
Yoshua Bengio
Cited by 1167
Hierarchical probabilistic neural network language model.
2005
Yoshua Bengio
F Morin
Cited by 1115
Estimating or propagating gradients through stochastic neurons for conditional computation
2013
Nicholas Léonard
Aaron Courville
Yoshua Bengio
Cited by 1093
Exploring strategies for training deep neural networks.
2009
Pascal Lamblin
Hugo Larochelle
Yoshua Bengio
+1
Cited by 1057