Mila > Team > Aaron Courville

# Aaron Courville

Core Academic Member
courvila@iro.umontreal.ca
(514) 343-6111 #3520
GANs
Generative Models
Multimodal Learning
Natural Language Processing (NLP)
Probabilistic Models
Computer Vision
Deep Learning
Core Academic Member
Associate Professor, Université de Montréal, Canada CIFAR AI Chair

Aaron Courville is an Associate Professor in the Department of Computer Science and Operations Research (DIRO) at the Université de Montréal. He received his PhD from the Robotics Institute, Carnegie Mellon University. He is a founding member of Mila and a fellow of the CIFAR program on Learning in Machines and Brains. Together with Ian Goodfellow and Yoshua Bengio, he co-wrote the seminal textbook on Deep Learning. His current research interests focus on the development of Deep Learning models and methods. He is particularly interested in the study of systematic generalization within neural networks, but he is also interested in deep generative model and multimodal ML with applications such as computer vision and natural language processing. Aaron holds a CIFAR Canadian AI chair and his research has been supported by Microsoft Research, Hitachi, Samsung and a Google Focussed Research Award.

## Publications

### 2021-12

Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Oumar Kaba, Yoshua Bengio, Aaron C. Courville, Doina Precup and Guillaume Lajoie
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R Devon Hjelm, Philip Bachman and Aaron C. Courville
NEURIPS 2021
(2021-12-06)
papers.nips.cc PDF[Also on arXiv preprint arXiv:2106.04799 (2021-06-09)]

### 2021-11

Multi-label Iterated Learning for Image Classification with Label Ambiguity
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez and Aaron C. Courville
arXiv preprint arXiv:2111.12172
(2021-11-23)
dblp.uni-trier.de PDF

### 2021-10

Chunked Autoregressive GAN for Conditional Waveform Synthesis
Max Morrison, Rithesh Kumar, Kundan Kumar, Prem Seetharaman, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:2110.10139
(2021-10-19)
dblp.uni-trier.de PDF
Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond.
Dinghuai Zhang, Jie Fu, Yoshua Bengio and Aaron C. Courville
arXiv preprint arXiv:2110.03372
(2021-10-06)
ui.adsabs.harvard.edu PDF

### 2021-09

Overcoming Label Ambiguity with Multi-label Iterated Learning
sai rajeswar mudumba, Pau Rodriguez, Soumye Singhal, David Vazquez and Aaron Courville
(venue unknown)
(2021-09-29)
openreview.net PDF

### 2021-08

Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron C. Courville and Marc G. Bellemare
NEURIPS 2021
(2021-08-30)
proceedings.neurips.cc[LATEST on arXiv: Learning (2021-08-30)]

### 2021-07

Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang and Aaron Courville
ICML 2021
(2021-07-18)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:2106.02890 (2021-06-05)]
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Hadi Nekoei, Akilesh Badrinaaraayanan, Aaron Courville and Sarath Chandar
ICML 2021
(2021-07-18)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:2103.03216 (2021-03-04)]

### 2021-06

Haptics-based Curiosity for Sparse-reward Tasks
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vazquez, Aaron Courville and Pedro O. Pinheiro
5th Annual Conference on Robot Learning
(2021-06-19)
openreview.net PDF
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang, Jae Hyun Lim and Aaron C. Courville
NEURIPS 2021
(2021-06-05)
papers.nips.cc PDF[Also on arXiv preprint arXiv:2106.02808 (2021-06-05)]
Hierarchical Video Generation for Complex Data.
Lluís Castrejón, Nicolas Ballas and Aaron C. Courville
arXiv preprint arXiv:2106.02719
(2021-06-04)
ui.adsabs.harvard.edu PDF

### 2021-05

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle.
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy and Aaron C. Courville
NAACL 2021
(2021-05-10)
aclanthology.org[Also on arXiv: Computation and Language (2020-10-21)]
Understanding by Understanding Not: Modeling Negation in Language Models.
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni and Aaron C. Courville
NAACL 2021
(2021-05-07)
aclanthology.org[Also on arXiv preprint arXiv:2105.03519 (2021-05-07)]
SSW-GAN: Scalable Stage-wise Training of Video GANs
Lluis Castrejon, Nicolas Ballas and Aaron Courville
(venue unknown)
(2021-05-04)
openreview.net PDF
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler and Aaron Courville
ACL 2021
(2021-05-04)
2021.aclweb.org PDF[Also on arXiv preprint arXiv:2012.00857 (2020-12-01)]
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Dinghuai Zhang, Remi Le Priol and Aaron Courville
ICML 2021
(2021-05-04)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:2003.00688 (2020-03-02)]
Iterated learning for emergent systematicity in VQA
Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane and Aaron Courville
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:2105.01119 (2021-05-03)]
Learning Task Decomposition with Order-Memory Policy Network
Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum and Chuang Gan
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF
Systematic generalisation with group invariant predictions
Faruk Ahmed, Yoshua Bengio, Harm van Seijen and Aaron Courville
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie-Marchildon, Faruk Ahmed and Aaron Courville
ICLR 2021
(2021-05-03)
dblp.uni-trier.de
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang, Ricky T. Q. Chen, Christos Tsirigotis and Aaron Courville
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:2012.05942 (2020-12-10)]
Neural Approximate Sufficient Statistics for Implicit Models
Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron Courville and Zhanxing Zhu
ICLR 2021
(2021-05-03)
dblp.uni-trier.de PDF[Also on arXiv preprint arXiv:2010.10079 (2020-10-20)]
Data-Efficient Reinforcement Learning with Self-Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville and Philip Bachman
ICLR 2021
(2021-05-03)
papyrus.bib.umontreal.ca PDF[Also on arXiv preprint arXiv:2007.05929 (2020-07-12)]

### 2021-04

Touch-based Curiosity for Sparse-Reward Tasks.
Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vázquez, Aaron C. Courville and Pedro O. Pinheiro
arXiv preprint arXiv:2104.00442
(2021-04-01)
ui.adsabs.harvard.edu PDF

### 2021-03

Learning Task Decomposition with Ordered Memory Policy Network.
Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum and Chuang Gan
arXiv preprint arXiv:2103.10972
(2021-03-19)
ui.adsabs.harvard.edu PDF
Pretraining Reward-Free Representations for Data-Efficient Reinforcement Learning
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, R Devon Hjelm, Philip Bachman and Aaron Courville
ICLR 2021
(2021-03-09)
openreview.net PDF

### 2021-01

Generative Compositional Augmentations for Scene Graph Prediction
Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham W. Taylor, Aaron Courville and Eugene Belilovsky
ICCV 2021
(2021-01-01)
openaccess.thecvf.com PDF[Also on arXiv: Computer Vision and Pattern Recognition (2020-07-11)]
Emergent Communication under Competition.
Michael Noukhovitch, Travis LaCroix, Angeliki Lazaridou and Aaron C. Courville
Autonomous Agents and Multi-Agent Systems
(2021-01-01)
dl.acm.org[LATEST on arXiv preprint arXiv:2101.10276 (2021-01-25)]

### 2020-11

Bijective-Contrastive Estimation
Jae Hyun Lim, Chin-Wei Huang, Aaron Courville and Christopher Pal
Third Symposium on Advances in Approximate Bayesian Inference
(2020-11-23)
openreview.net PDF
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup and Guillaume Lajoie
arXiv preprint arXiv:2011.09468
(2020-11-18)
ui.adsabs.harvard.edu PDF
Recursive Top-Down Production for Sentence Generation with Latent Trees
Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville and Timothy J. O'Donnell
EMNLP 2020
(2020-11-01)
aclanthology.org
Supervised Seeded Iterated Learning for Interactive Language Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron C. Courville
EMNLP 2020
(2020-11-01)
aclanthology.org PDF[Also on arXiv preprint arXiv:2010.02975 (2020-10-06)]
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vázquez, Derek Nowrouzezahrai and Aaron C. Courville
International Journal of Computer Vision
(2020-11-01)
link.springer.com[Also on arXiv: Computer Vision and Pattern Recognition (2020-03-23)]

### 2020-10

Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio
Communications of The ACM
(2020-10-22)
dl.acm.org PDF
NU-GAN: High resolution neural upsampling with GAN.
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio and Aaron C. Courville
arXiv preprint arXiv:2010.11362
(2020-10-22)
ui.adsabs.harvard.edu PDF
Explicitly Modeling Syntax in Language Model improves Generalization.
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy and Aaron C. Courville
arXiv preprint arXiv:2011.07960
(2020-10-21)
ui.adsabs.harvard.edu PDF
Recursive Top-Down Production for Sentence Generation with Latent Trees.
Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni and Aaron Courville
arXiv preprint arXiv:2010.04704
(2020-10-09)
ui.adsabs.harvard.edu PDF
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie, Faruk Ahmed and Aaron Courville
arXiv preprint arXiv:2010.01262
(2020-10-03)
ui.adsabs.harvard.edu PDF

### 2020-07

Data-Efficient Reinforcement Learning with Momentum Predictive Representations. (arXiv:2007.05929v2 [cs.LG] UPDATED)
Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville and Philip Bachman
arXiv Computer Science
(2020-07-24)
Data-Efficient Reinforcement Learning with Momentum Predictive Representations
Max Schwarzer, Ankesh Anand, Rishab Goel, R. Devon Hjelm, Aaron C. Courville and Philip Bachman
ICLR 2020
(2020-07-12)
www.microsoft.com PDF
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville and Olivier Pietquin
ICML 2020
(2020-07-12)
proceedings.mlr.press PDF
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim, Aaron Courville, Christopher Pal and Chin-Wei Huang
ICML 2020
(2020-07-12)
proceedings.mlr.press PDF[Also on arXiv: Learning (2020-06-09)]
Generative Graph Perturbations for Scene Graph Prediction.
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville and Eugene Belilovsky
arXiv e-prints
(2020-07-11)
ui.adsabs.harvard.edu
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin and Yoshua Bengio
AIED 2020
(2020-07-06)
ui.adsabs.harvard.edu PDF[Also on arXiv preprint arXiv:2005.06616 (2020-05-06)]

### 2020-05

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville and Eugene Belilovsky
BMVC 2020
(2020-05-17)
dblp.uni-trier.de PDF[LATEST on arXiv preprint arXiv:2005.08230 (2020-05-17)]

### 2020-04

On Bonus Based Exploration Methods In The Arcade Learning Environment
Adrien Ali Taiga, William Fedus, Marlos C. Machado, Aaron Courville and Marc G. Bellemare
ICLR 2020
(2020-04-30)
iclr.cc PDF[LATEST on arXiv preprint arXiv:2109.11052 (2021-09-22)]
Detecting Semantic Anomalies
Faruk Ahmed and Aaron C. Courville
AAAI 2020
(2020-04-03)
aaai.org PDF[Also on arXiv preprint arXiv:1908.04388 (2019-08-13)]

### 2020-03

Countering Language Drift with Seeded Iterated Learning
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin and Aaron Courville
arXiv: Artificial Intelligence
(2020-03-28)
ui.adsabs.harvard.edu PDF

### 2020-02

Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models
Chin-Wei Huang, Laurent Dinh and Aaron Courville
ICLR 2020
(2020-02-26)
openreview.net PDF
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models.
Chin-Wei Huang, Laurent Dinh and Aaron C. Courville
arXiv preprint arXiv:2002.07101
(2020-02-17)
ui.adsabs.harvard.edu PDF

### 2020-01

Unsupervised Learning of Dense Visual Representations
Pedro O. O. Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo and Aaron C. Courville
NEURIPS 2020
(2020-01-01)
papers.nips.cc PDF[LATEST on arXiv preprint arXiv:2011.05499 (2020-11-11)]
What Do Compressed Deep Neural Networks Forget
Sara Hooker, Aaron Courville, Gregory Clark, Yann Dauphin and Andrea Frome
arXiv preprint arXiv:1911.05248
(2020-01-01)
ui.adsabs.harvard.edu PDF

### 2019-12

CLOSURE: Assessing Systematic Generalization of CLEVR Models.
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio and Aaron C. Courville
ViGIL@NeurIPS
(2019-12-12)
ui.adsabs.harvard.edu PDF[Also on arXiv preprint arXiv:1912.05783 (2019-12-12)]

### 2019-11

Selective Brain Damage: Measuring the Disparate Impact of Model Pruning
Sara Hooker, Aaron C. Courville, Yann N. Dauphin and Andrea Frome
(venue unknown)
(2019-11-13)
research.google PDF
Ordered Memory
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni and Aaron C. Courville
NEURIPS 2019
(2019-11-01)
papers.nips.cc PDF[Also on arXiv: Learning (2019-10-29)]
Deep Generative Modeling of LiDAR Data
Lucas Caccia, Herke van Hoof, Aaron Courville and Joelle Pineau
IROS 2019
(2019-11-01)
www.narcis.nl[Also on arXiv preprint arXiv:1812.01180 (2018-12-04)]

### 2019-10

Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio and Joseph Paul Cohen
arXiv preprint arXiv:1910.09570
(2019-10-21)
ui.adsabs.harvard.edu PDF
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
Catalina Cangea, Eugene Belilovsky, Pietro Liò and Aaron C. Courville
BMVC 2019
(2019-10-03)
www.repository.cam.ac.uk[Also on arXiv preprint arXiv:1908.04950 (2019-08-14)]
Improved Conditional VRNNs for Video Prediction
Lluis Castrejon, Nicolas Ballas and Aaron Courville
ICCV 2019
(2019-10-01)
openaccess.thecvf.com PDF[Also on arXiv: Computer Vision and Pattern Recognition (2019-04-27)]
Batch Weight for Domain Adaptation With Mass Shift
Mikolaj Binkowski, Devon Hjelm and Aaron Courville
ICCV 2019
(2019-10-01)
openaccess.thecvf.com PDF[Also on arXiv preprint arXiv:1905.12760 (2019-05-29)]

### 2019-09

Selfish Emergent Communication
Michael Noukhovitch, Travis LaCroix and Aaron Courville
(venue unknown)
(2019-09-25)
openreview.net PDF
{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio and Joseph Paul Cohen
(venue unknown)
(2019-09-25)
openreview.net PDF
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio and Aaron C. Courville
NEURIPS 2019
(2019-09-06)
papers.nips.cc PDF[LATEST on arXiv preprint arXiv:1910.06711 (2019-10-08)]
No Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau and Aaron Courville
arXiv preprint arXiv:1909.02128
(2019-09-04)
ui.adsabs.harvard.edu PDF
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Philip Paquette, Yuchen Lu, Seton Steven Bocco, Max Smith, Satya O.-G., Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh and Aaron C. Courville
NEURIPS 2019
(2019-09-04)
papers.nips.cc PDF

### 2019-08

Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
Adrien Ali Taïga, William Fedus, Marlos C. Machado, Aaron C. Courville and Marc G. Bellemare
arXiv preprint arXiv:1908.02388
(2019-08-06)
ui.adsabs.harvard.edu PDF

### 2019-06

Adversarial Computation of Optimal Transport Maps
Jacob Leygonie, Jennifer She, Amjad Almahairi, Sai Rajeswar and Aaron C. Courville
arXiv: Learning
(2019-06-24)
ui.adsabs.harvard.edu PDF
Investigating Biases in Textual Entailment Datasets.
Shawn Tan, Yikang Shen, Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1906.09635
(2019-06-23)
ui.adsabs.harvard.edu PDF
Note on the bias and variance of variational inference.
Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1906.03708
(2019-06-09)
ui.adsabs.harvard.edu PDF

### 2019-05

On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio and Aaron C. Courville
ICML 2019
(2019-05-24)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1806.08734 (2018-06-22)]
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste and Aaron C. Courville
ICML 2019
(2019-05-13)
proceedings.mlr.press PDF[LATEST on arXiv preprint arXiv:1905.04866 (2019-05-13)]
Representation Mixing for TTS Synthesis
Kyle Kastner, Joao Felipe Santos, Yoshua Bengio and Aaron Courville
ICASSP 2019
(2019-05-12)
ieeexplore.ieee.org PDF[Also on arXiv preprint arXiv:1811.07240 (2018-11-17)]
Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikeng Shen, Shawn Tan, Alessandro Sordoni and Aaron Courville
ICLR 2019
(2019-05-06)
www.microsoft.com
Reproducibility in Machine Learning
Nan Rosemary Ke, Alex Lamb, Anirudh Goyal Alias Parth Goyal, Aaron Courville and Yoshua Bengio
ICLR 2019
(2019-05-06)
iclr.cc

### 2019-03

Counterpoint by Convolution
Cheng-Zhi Anna Huang, Tim Cooijmans, Adam Roberts, Aaron Courville and Douglas Eck
arXiv preprint arXiv:1903.07227
(2019-03-18)
aps.arxiv.org PDF

### 2019-01

Maximum Entropy Generators for Energy-Based Models.
Rithesh Kumar, Anirudh Goyal, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1901.08508
(2019-01-24)
ui.adsabs.harvard.edu PDF
Probability Distillation: A Caveat and Alternatives.
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste and Aaron C. Courville
UAI 2019
(2019-01-01)
proceedings.mlr.press PDF
Stochastic Neural Network with Kronecker Flow.
Chin-Wei Huang, Ahmed Touati, Pascal Vincent, Gintare Karolina Dziugaite, Alexandre Lacoste and Aaron C. Courville
AISTATS 2019
(2019-01-01)
proceedings.mlr.press PDF[LATEST on arXiv preprint arXiv:1906.04282 (2019-06-10)]

### 2018-12

Towards Text Generation with Adversarially Learned Neural Outlines
Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron C. Courville and Chris Pal
NEURIPS 2018
(2018-12-01)
papers.nips.cc PDF

### 2018-11

Planning in Dynamic Environments with Conditional Autoregressive Models.
Johanna Hansen, Kyle Kastner, Aaron C. Courville and Gregory Dudek
arXiv preprint arXiv:1811.10097
(2018-11-25)
ui.adsabs.harvard.edu PDF
Harmonic Recomposition using Conditional Autoregressive Modeling.
Kyle Kastner, Rithesh Kumar, Tim Cooijmans and Aaron C. Courville
arXiv preprint arXiv:1811.07426
(2018-11-18)
dblp.uni-trier.de PDF
Blindfold Baselines for Embodied QA.
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle and Aaron C. Courville
arXiv: Computer Vision and Pattern Recognition
(2018-11-12)
ui.adsabs.harvard.edu PDF

### 2018-10

Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Florian Golemo, Adrien Ali Taïga, Aaron C. Courville and Pierre-Yves Oudeyer
Conference on Robot Learning (CoRL) 2018
(2018-10-23)
proceedings.mlr.press PDF
Deep Learning. Das umfassende Handbuch
Ian Goodfellow, Yoshua Bengio and Aaron Courville
(venue unknown)
(2018-10-10)
content-select.com

### 2018-09

EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models
Rithesh Kumar, Anirudh Goyal, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.net PDF
On Difficulties of Probability Distillation
Chin-Wei Huang, Faruk Ahmed, Kundan Kumar, Alexandre Lacoste and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.net PDF
W2GAN: RECOVERING AN OPTIMAL TRANSPORT MAP WITH A GAN
Leygonie Jacob, Jennifer She, Amjad Almahairi, Sai Rajeswar and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.net PDF
Pix2Scene: Learning Implicit 3D Representations from Images
Sai Rajeswar, Fahim Mannan, Florian Golemo, David Vazquez, Derek Nowrouzezahrai and Aaron Courville
(venue unknown)
(2018-09-27)
openreview.net
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Yikang Shen, Shawn Tan, Alessandro Sordoni and Aaron C. Courville
ICLR 2018
(2018-09-27)
ui.adsabs.harvard.edu PDF[LATEST on arXiv preprint arXiv:1810.09536 (2018-10-22)]
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries and Aaron C. Courville
ICLR 2018
(2018-09-27)
dblp.uni-trier.de PDF[LATEST on arXiv preprint arXiv:1811.12889 (2018-11-30)]
Unsupervised one-to-many image translation
Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikołaj Bińkowski, Aaron Courville, Yoshua Bengio and R Devon Hjelm
(venue unknown)
(2018-09-27)
openreview.net PDF
Convergence Properties of Deep Neural Networks on Separable Data
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron Courville and Yoshua Bengio
(venue unknown)
(2018-09-27)
openreview.net PDF
Manifold Mixup: Learning Better Representations by Interpolating Hidden States
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Aaron Courville, Ioannis Mitliagkas and Yoshua Bengio
arXiv Machine Learning (Statistics)
(2018-09-27)
openreview.net PDF
On the Learning Dynamics of Deep Neural Networks.
Remi Tachet des Combes, Mohammad Pezeshki, Samira Shabanian, Aaron C. Courville and Yoshua Bengio
arXiv preprint arXiv:1809.06848
(2018-09-18)
ui.adsabs.harvard.edu PDF
Visual Reasoning with Multi-hop Feature Modulation
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron C. Courville and Olivier Pietquin
ECCV 2018
(2018-09-08)
doi.org PDF[Also on arXiv preprint arXiv:1808.04446 (2018-08-03)]
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste and Aaron C. Courville
NEURIPS 2018
(2018-09-01)
papers.nips.cc PDF[LATEST on arXiv: Learning (2018-09-06)]

### 2018-08

Approximate Exploration through State Abstraction.
Adrien Ali Taïga, Aaron C. Courville and Marc G. Bellemare
arXiv preprint arXiv:1808.09819
(2018-08-29)
dblp.uni-trier.de PDF

### 2018-07

Feature-wise transformations
Vincent Dumoulin, Ethan Perez, Nathan Schucher, Florian Strub, Harm de Vries, Aaron Courville and Yoshua Bengio
Distill
(2018-07-09)
distill.pub
Neural Autoregressive Flows
Chin-Wei Huang, David Krueger, Alexandre Lacoste and Aaron C. Courville
ICML 2018
(2018-07-03)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1804.00779 (2018-04-03)]
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman and Aaron C. Courville
ICML 2018
(2018-07-03)
proceedings.mlr.press PDF[Also on arXiv preprint arXiv:1802.10151 (2018-02-27)]
Mutual Information Neural Estimation.
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeshwar, Sherjil Ozair, Yoshua Bengio, Aaron Courville and Devon Hjelm
ICML 2018
(2018-07-03)
proceedings.mlr.press PDF

### 2018-06

On the Spectral Bias of Deep Neural Networks
Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio and Aaron C. Courville
(venue unknown)
(2018-06-22)
dblp.uni-trier.de PDF
Learning Distributed Representations from Reviews for Collaborative Filtering
Amjad Almahairi, Kyle Kastner, Kyunghyun Cho and Aaron Courville
arXiv preprint arXiv:1806.06875
(2018-06-18)
ui.adsabs.harvard.edu PDF
Manifold Mixup: Better Representations by Interpolating Hidden States.
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, Aaron Courville, David Lopez-Paz and Yoshua Bengio
arXiv: Machine Learning
(2018-06-13)
arxiv.org PDF
Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.
Vikas Verma, Alex Lamb, Christopher Beckham, Aaron C. Courville, Ioannis Mitliagkas and Yoshua Bengio
(venue unknown)
(2018-06-13)
dblp.uni-trier.de PDF
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville and Yoshua Bengio
ACL 2018
(2018-06-11)
aclanthology.info[Also on arXiv preprint arXiv:1806.04168 (2018-06-11)]
Mine: mutual information neural estimation
Mohamed Ishmael Belghazi, Aristide Baratin, Sai Rajeswar, Sherjil Ozair, Yoshua Bengio, Aaron Courville and Devon Hjelm
ICML 2018
(2018-06-07)
www.microsoft.com

### 2018-03

Generating Contradictory, Neutral, and Entailing Sentences
Yikang Shen, Shawn Tan, Chin-Wei Huang and Aaron C. Courville
arXiv preprint arXiv:1803.02710
(2018-03-07)
ui.adsabs.harvard.edu PDF

### 2018-02

Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic and Aaron Courville
arXiv preprint arXiv:1802.01071
(2018-02-15)
dblp.uni-trier.de PDF
Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste and Aaron Courville
arXiv: Machine Learning
(2018-02-15)
openreview.net PDF
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Yikang Shen, Zhouhan Lin, Chin-Wei Huang and Aaron C. Courville
ICLR 2018
(2018-02-15)
dblp.uni-trier.de PDF
Learning Generative Models with Locally Disentangled Latent Factors
Brady Neal, Alex Lamb, Sherjil Ozair, Devon Hjelm, Aaron Courville, Yoshua Bengio and Ioannis Mitliagkas
(venue unknown)
(2018-02-15)
openreview.net PDF
Inferring Identity Factors for Grouped Examples
Shawn Tan, Christopher J. Pal and Aaron Courville
(venue unknown)
(2018-02-12)
openreview.net PDF
FiLM: Visual Reasoning with a General Conditioning Layer.
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin and Aaron C. Courville
AAAI 2018
(2018-02-02)
hal.archives-ouvertes.fr

### 2018-01

MINE: Mutual Information Neural Estimation.
Ishmael Belghazi, Sai Rajeswar, Aristide Baratin, R. Devon Hjelm and Aaron C. Courville
arXiv preprint arXiv:1801.04062
(2018-01-12)
ui.adsabs.harvard.edu PDF
HoME: a Household Multimodal Environment.
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle and Aaron C. Courville
ICLR 2018
(2018-01-01)
dblp.uni-trier.de PDF

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