About
Discord Stateoftheart AI
GitHub

Publications

234

Cited by

84422

Aaron Courville

machine learningartificial intelligence
Université de Montréal

Canada

Papers and Citations

1 - 50
Generative Adversarial Nets
2014
Aaron Courville
Ian Goodfellow
Jean Pouget-Abadie
+5
Cited by 22697
Representation learning: A review and new perspectives
2013
Pascal Vincent
Aaron Courville
Yoshua Bengio
Cited by 9117
Show, attend and tell: Neural image caption generation with visual attention
2015
Yoshua Bengio
Kyunghyun Cho
Kelvin Xu
+5
Cited by 7151
Improved training of wasserstein gans
2017
Vincent Dumoulin
Aaron Courville
Ishaan Gulrajani
+2
Cited by 4840
Why does unsupervised pre-training help deep learning?
2010
Aaron Courville
Yoshua Bengio
Pascal Vincent
+1
Cited by 2587
Maxout networks
2013
Aaron Courville
Yoshua Bengio
Ian Goodfellow
+2
Cited by 2404
Brain tumor segmentation with deep neural networks
2017
David Warde-Farley
Chris Pal
Axel Davy
+6
Cited by 1973
Building end-to-end dialogue systems using generative hierarchical neural network models
2015
Joelle Pineau
Alessandro Sordoni
Aaron Courville
+2
Cited by 1385
Estimating or propagating gradients through stochastic neurons for conditional computation
2013
Nicholas Léonard
Aaron Courville
Yoshua Bengio
Cited by 1093
Adversarially learned inference
2016
Aaron Courville
Vincent Dumoulin
Ben Poole
+4
Cited by 1034
Visualizing higher-layer features of a deep network
2009
Aaron Courville
Dumitru Erhan
Yoshua Bengio
+1
Cited by 1016
An empirical evaluation of deep architectures on problems with many factors of variation
2007
Hugo Larochelle
James Bergstra
Yoshua Bengio
+2
Cited by 948
Describing videos by exploiting temporal structure
2015
Kyunghyun Cho
Li Yao
Aaron Courville
+4
Cited by 812
A hierarchical latent variable encoder-decoder model for generating dialogues
2016
Joelle Pineau
Laurent Charlin
Iulian Vlad Serban
+4
Cited by 790
A recurrent latent variable model for sequential data
2015
Kratarth Goel
Aaron Courville
Junyoung Chung
+3
Cited by 772
Challenges in representation learning: A report on three machine learning contests
2013
Yichuan Charlie Tang
Dimitris Athanasakis
John Shawe-Taylor
+25
Cited by 755
Theano: A Python framework for fast computation of mathematical expressions
2016
Alexandre de Brébisson
Alexander Belopolsky
Jeremiah Lowin
+109
Cited by 735
A closer look at memorization in deep networks
2017
Devansh Arpit
Simon Lacoste-Julien
Maxinder S. Kanwal
+8
Cited by 589
An empirical investigation of catastrophic forgetting in gradient-based neural networks
2013
Da Xiao
Yoshua Bengio
Aaron Courville
+3
Cited by 584
Film: Visual reasoning with a general conditioning layer
2018
Aaron Courville
Florian STRUB
Ethan Perez
+2
Cited by 556
Unsupervised feature learning and deep learning: A review and new perspectives
2012
Aaron Courville
Yoshua Bengio
Pascal Vincent
Cited by 505
An actor-critic algorithm for sequence prediction
2016
Kelvin Xu
Anirudh Goyal
Yoshua Bengio
+5
Cited by 445
Bayesian theories of conditioning in a changing world
2006
Nathaniel D. Daw
Aaron Courville
David Touretzky
Cited by 422
Recurrent batch normalization
2016
Çağlar Gülçehre
Nicolas Ballas
Tim Cooijmans
+3
Cited by 377
Professor forcing: A new algorithm for training recurrent networks
2016
Anirudh Goyal ALIAS PARTH GOYAL
Ying Zhang
Aaron Courville
+4
Cited by 363
Mutual information neural estimation
2018
Sai Rajeswar
Yoshua Bengio
Sherjil Ozair
+4
Cited by 346
Mine: mutual information neural estimation
2018
Yoshua Bengio
Aristide Baratin
Sherjil Ozair
+4
Cited by 344
Delving deeper into convolutional networks for learning video representations
2015
Li Yao
Aaron Courville
Chris Pal
+1
Cited by 340
Char2wav: End-to-end speech synthesis
2017
Soroush Mehri
Jose Sotelo
Kundan Kumar
+6
Cited by 328
SampleRNN: An unconditional end-to-end neural audio generation model
2016
Kundan Kumar
Yoshua Bengio
Ishaan Gulrajani
+5
Cited by 317
Describing multimedia content using attention-based encoder-decoder networks
2015
Yoshua Bengio
Kyunghyun Cho
Aaron Courville
Cited by 305
Towards end-to-end speech recognition with deep convolutional neural networks
2016
Yoshua Bengio
Saizheng Zhang
Philemon Brakel
+4
Cited by 302
Emonets: Multimodal deep learning approaches for emotion recognition in video
2016
Pascal Lamblin
Roland Memisevic
Raul Chandias Ferrari
+15
Cited by 281
Combining modality specific deep neural networks for emotion recognition in video
2013
David Warde-Farley
Yoshua Bengio
Chris Pal
+25
Cited by 265
Augmented cyclegan: Learning many-to-many mappings from unpaired data
2018
Alessandro Sordoni
Amjad Almahairi
Sai Rajeswar
+2
Cited by 249
Pixelvae: A latent variable model for natural images
2016
Francesco Visin
David Vázquez
Kundan Kumar
+4
Cited by 248
Guesswhat?! visual object discovery through multi-modal dialogue
2017
Hugo Larochelle
Olivier Pietquin
Sarath Chandar
+3
Cited by 227
Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus
2016
A García-Durán
Aaron Courville
Yoshua Bengio
+5
Cited by 222
Zoneout: Regularizing rnns by randomly preserving hidden activations
2016
David Scott Krueger
Mohammad Pezeshki
Tegan Maharaj
+7
Cited by 217
Renet: A recurrent neural network based alternative to convolutional networks
2015
Francesco Visin
Aaron Courville
Kyle Kastner
+3
Cited by 214
Disentangling factors of variation for facial expression recognition
2012
Salah Rifai
Yoshua Bengio
Aaron Courville
+2
Cited by 203
Neural autoregressive flows
2018
Aaron Courville
Chin-Wei Huang
David Scott Krueger
+1
Cited by 202
Unsupervised and transfer learning challenge: a deep learning approach
2012
Pascal Vincent
Yoshua Bengio
Xavier Glorot
+9
Cited by 200
Modulating early visual processing by language
2017
Florian STRUB
Hugo Larochelle
Aaron Courville
+3
Cited by 199
Reseg: A recurrent neural network-based model for semantic segmentation
2016
Yoshua Bengio
Marco Ciccone
Matteo Matteucci
+5
Cited by 185
Multiresolution recurrent neural networks: An application to dialogue response generation
2016
Tim Klinger
Bowen Zhou
Gerald Tesauro
+4
Cited by 185
Using descriptive video services to create a large data source for video annotation research
2015
Hugo Larochelle
Chris Pal
Aaron Courville
+1
Cited by 182
Ordered neurons: Integrating tree structures into recurrent neural networks
2019
Aaron Courville
Shawn Tan
Yikang Shen
+1
Cited by 174
Movie description
2017
Atousa Torabi
Marcus Rohrbach
Aaron Courville
+5
Cited by 160
Multi-prediction deep Boltzmann machines
2013
Mehdi Mirza
Yoshua Bengio
Ian Goodfellow
+1
Cited by 157