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Gradient Starvation: A Learning Proclivity in Neural Networks

Nov 23, 2020
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup, Guillaume Lajoie


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Unsupervised Learning of Dense Visual Representations

Nov 11, 2020
Pedro O. Pinheiro, Amjad Almahairi, Ryan Y. Benmaleck, Florian Golemo, Aaron Courville


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NU-GAN: High resolution neural upsampling with GAN

Oct 22, 2020
Rithesh Kumar, Kundan Kumar, Vicki Anand, Yoshua Bengio, Aaron Courville


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Neural Approximate Sufficient Statistics for Implicit Models

Oct 20, 2020
Yanzhi Chen, Dinghuai Zhang, Michael Gutmann, Aaron Courville, Zhanxing Zhu


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Recursive Top-Down Production for Sentence Generation with Latent Trees

Oct 09, 2020
Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron Courville


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Supervised Seeded Iterated Learning for Interactive Language Learning

Oct 06, 2020
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron Courville


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Integrating Categorical Semantics into Unsupervised Domain Translation

Oct 03, 2020
Samuel Lavoie-Marchildon, Faruk Ahmed, Aaron Courville

* 21 pages. In submission to the International Conference on Learning Representation (ICLR) 2021 

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Data-Efficient Reinforcement Learning with Momentum Predictive Representations

Jul 12, 2020
Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman

* The first two authors contributed equally to this work 

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Generative Graph Perturbations for Scene Graph Prediction

Jul 11, 2020
Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham W. Taylor, Aaron Courville, Eugene Belilovsky

* https://oolworkshop.github.io/program/ool_21.html, ICML Workshop 2020 on "Object-Oriented Learning (OOL): Perception, Representation, and Reasoning" 

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AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation

Jun 09, 2020
Jae Hyun Lim, Aaron Courville, Christopher Pal, Chin-Wei Huang

* accepted in ICML 2020 

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Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

May 17, 2020
Boris Knyazev, Harm de Vries, Cătălina Cangea, Graham W. Taylor, Aaron Courville, Eugene Belilovsky

* 17 pages, the code is available at https://github.com/bknyaz/sgg 

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A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM

May 06, 2020
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung D. Vu, Robert Belfer, Joelle Pineau, Aaron Courville, Laurent Charlin, Yoshua Bengio

* 6 pages, 1 figure, 1 table, accepted for publication in the 21st International Conference on Artificial Intelligence in Education (AIED 2020) 

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Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation

Apr 17, 2020
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vazquez, Derek Nowrouzezahrai, Aaron Courville

* International Journal of Computer Vision, (2020), 1-16 
* This is a pre-print of an article published in International Journal of Computer Vision. The final authenticated version is available online at: https://doi.org/10.1007/s11263-020-01322-1 

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Countering Language Drift with Seeded Iterated Learning

Apr 06, 2020
Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron Courville


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Pix2Shape -- Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation

Mar 23, 2020
Sai Rajeswar, Fahim Mannan, Florian Golemo, Jérôme Parent-Lévesque, David Vazquez, Derek Nowrouzezahrai, Aaron Courville

* International Journal of Computer Vision, (2020), 1-16 
* This is a pre-print of an article published in International Journal of Computer Vision. The final authenticated version is available online at: https://doi.org/10.1007/s11263-020-01322-1 

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Out-of-Distribution Generalization via Risk Extrapolation (REx)

Mar 13, 2020
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Remi Le Priol, Aaron Courville


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Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models

Feb 17, 2020
Chin-Wei Huang, Laurent Dinh, Aaron Courville

* 27 pages, 12 figures 

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CLOSURE: Assessing Systematic Generalization of CLEVR Models

Dec 12, 2019
Dzmitry Bahdanau, Harm de Vries, Timothy J. O'Donnell, Shikhar Murty, Philippe Beaudoin, Yoshua Bengio, Aaron Courville

* Technical report 

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Selective Brain Damage: Measuring the Disparate Impact of Model Pruning

Nov 13, 2019
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome


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Ordered Memory

Nov 03, 2019
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron Courville

* Published in NeurIPS 2019 

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MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Oct 28, 2019
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brebisson, Yoshua Bengio, Aaron Courville


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Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery

Oct 21, 2019
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio, Joseph Paul Cohen

* Under Review 

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Detecting semantic anomalies

Sep 13, 2019
Faruk Ahmed, Aaron Courville


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No Press Diplomacy: Modeling Multi-Agent Gameplay

Sep 04, 2019
Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron Courville

* Accepted at NeurIPS 2019 

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VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering

Aug 14, 2019
Cătălina Cangea, Eugene Belilovsky, Pietro Liò, Aaron Courville

* To appear at BMVC 2019. 15 pages, 5 figures 

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