| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 775* | 2016 |
| Film: Visual reasoning with a general conditioning layer E Perez, F Strub, H De Vries, V Dumoulin, A Courville Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 487 | 2018 |
| Equilibrated adaptive learning rates for non-convex optimization YN Dauphin, H De Vries, Y Bengio arXiv preprint arXiv:1502.04390, 2015 | 397 | 2015 |
| Guesswhat?! visual object discovery through multi-modal dialogue H De Vries, F Strub, S Chandar, O Pietquin, H Larochelle, A Courville Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 236 | 2017 |
| Modulating early visual processing by language H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, A Courville arXiv preprint arXiv:1707.00683, 2017 | 218 | 2017 |
| End-to-end optimization of goal-driven and visually grounded dialogue systems F Strub, H De Vries, J Mary, B Piot, A Courville, O Pietquin arXiv preprint arXiv:1703.05423, 2017 | 108* | 2017 |
| Learning visual reasoning without strong priors E Perez, H De Vries, F Strub, V Dumoulin, A Courville arXiv preprint arXiv:1707.03017, 2017 | 65* | 2017 |
| Systematic generalization: what is required and can it be learned? D Bahdanau, S Murty, M Noukhovitch, TH Nguyen, H de Vries, A Courville arXiv preprint arXiv:1811.12889, 2018 | 64* | 2018 |
| Talk the walk: Navigating new york city through grounded dialogue H de Vries, K Shuster, D Batra, D Parikh, J Weston, D Kiela arXiv preprint arXiv:1807.03367, 2018 | 59 | 2018 |
| Feature-wise transformations V Dumoulin, E Perez, N Schucher, F Strub, H Vries, A Courville, Y Bengio Distill 3 (7), e11, 2018 | 58* | 2018 |
| Deep Learning Vector Quantization. H De Vries, R Memisevic, AC Courville ESANN, 2016 | 22 | 2016 |
| Visual reasoning with multi-hop feature modulation F Strub, M Seurin, E Perez, H De Vries, J Mary, P Preux, ACO Pietquin Proceedings of the European Conference on Computer Vision (ECCV), 784-800, 2018 | 17* | 2018 |
| RMSProp and equilibrated adaptive learning rates for non-convex optimization (2015) Y Dauphin, H De Vries, J Chung, Y Bengio arXiv preprint arXiv:1502.04390, 0 | 9 | |
| Closure: Assessing systematic generalization of clevr models D Bahdanau, H de Vries, TJ O'Donnell, S Murty, P Beaudoin, Y Bengio, ... arXiv preprint arXiv:1912.05783, 2019 | 8* | 2019 |
| Towards ecologically valid research on language user interfaces H de Vries, D Bahdanau, C Manning arXiv preprint arXiv:2007.14435, 2020 | 6 | 2020 |
| Empirical evaluation of gradient methods for matrix learning vector quantization M LeKander, M Biehl, H de Vries 2017 12th international workshop on self-organizing maps and learning vector …, 2017 | 6 | 2017 |
| Can deep learning help you find the perfect match? H De Vries, J Yosinski arXiv preprint arXiv:1505.00359, 2015 | 3 | 2015 |
| Graph density-aware losses for novel compositions in scene graph generation B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky arXiv preprint arXiv:2005.08230, 2020 | 2 | 2020 |
| Parametric Nonlinear Regression Models for Dike Monitoring Systems H De Vries, G Azzopardi, A Koelewijn, A Knobbe International Symposium on Intelligent Data Analysis, 345-355, 2014 | 2 | 2014 |
| Stationarity and uniqueness of generalized matrix learning vector quantization H de Vries Machine Learning Reports, 16-21, 2013 | 2 | 2013 |
Aaron CourvilleUniversité de MontréalVerified email at umontreal.ca
