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DuoRAT: Towards Simpler Text-to-SQL Models

Oct 21, 2020
Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal

* Code is available at https://github.com/ElementAI/duorat 

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Towards Ecologically Valid Research on Language User Interfaces

Jul 28, 2020
Harm de Vries, Dzmitry Bahdanau, Christopher Manning


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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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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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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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Systematic Generalization: What Is Required and Can It Be Learned?

Nov 30, 2018
Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, Thien Huu Nguyen, Harm de Vries, Aaron Courville

* Preprint. Work in progress 

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Visual Reasoning with Multi-hop Feature Modulation

Oct 12, 2018
Florian Strub, Mathieu Seurin, Ethan Perez, Harm de Vries, Jérémie Mary, Philippe Preux, Aaron Courville, Olivier Pietquin

* In Proc of ECCV 2018 

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Talk the Walk: Navigating New York City through Grounded Dialogue

Jul 13, 2018
Harm de Vries, Kurt Shuster, Dhruv Batra, Devi Parikh, Jason Weston, Douwe Kiela


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Learning Visual Reasoning Without Strong Priors

Dec 18, 2017
Ethan Perez, Harm de Vries, Florian Strub, Vincent Dumoulin, Aaron Courville

* Full AAAI 2018 paper is at arXiv:1709.07871. Presented at ICML 2017's Machine Learning in Speech and Language Processing Workshop. Code is at http://github.com/ethanjperez/film 

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FiLM: Visual Reasoning with a General Conditioning Layer

Dec 18, 2017
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, Aaron Courville

* AAAI 2018. Code available at http://github.com/ethanjperez/film . Extends arXiv:1707.03017 

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Modulating early visual processing by language

Dec 18, 2017
Harm de Vries, Florian Strub, Jérémie Mary, Hugo Larochelle, Olivier Pietquin, Aaron Courville

* Advances in Neural Information Processing Systems 30 (NIPS 2017) 

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End-to-end optimization of goal-driven and visually grounded dialogue systems

Mar 15, 2017
Florian Strub, Harm de Vries, Jeremie Mary, Bilal Piot, Aaron Courville, Olivier Pietquin


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GuessWhat?! Visual object discovery through multi-modal dialogue

Feb 06, 2017
Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, Aaron Courville

* 23 pages; CVPR 2017 submission; see https://guesswhat.ai 

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Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

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Equilibrated adaptive learning rates for non-convex optimization

Aug 29, 2015
Yann N. Dauphin, Harm de Vries, Yoshua Bengio


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Can deep learning help you find the perfect match?

Jun 20, 2015
Harm de Vries, Jason Yosinski


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