Harm de Vries
Harm de Vries
Element AI
Zweryfikowany adres z elementai.com
Cytowane przez
Cytowane przez
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv, arXiv: 1605.02688, 2016
Film: Visual reasoning with a general conditioning layer
E Perez, F Strub, H De Vries, V Dumoulin, A Courville
arXiv preprint arXiv:1709.07871, 2017
Equilibrated adaptive learning rates for non-convex optimization
Y Dauphin, H De Vries, Y Bengio
Advances in neural information processing systems, 1504-1512, 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
Modulating early visual processing by language
H De Vries, F Strub, J Mary, H Larochelle, O Pietquin, AC Courville
Advances in Neural Information Processing Systems, 6594-6604, 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
Learning visual reasoning without strong priors
E Perez, H De Vries, F Strub, V Dumoulin, A Courville
arXiv preprint arXiv:1707.03017, 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
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
Feature-wise transformations
V Dumoulin, E Perez, N Schucher, F Strub, H Vries, A Courville, Y Bengio
Distill 3 (7), e11, 2018
Deep Learning Vector Quantization.
H De Vries, R Memisevic, AC Courville
ESANN, 2016
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
Visual reasoning with multi-hop feature modulation
F Strub, M Seurin, E Perez, H De Vries, J Mary, P Preux, ...
Proceedings of the European Conference on Computer Vision (ECCV), 784-800, 2018
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
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
Can deep learning help you find the perfect match?
H De Vries, J Yosinski
arXiv preprint arXiv:1505.00359, 2015
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
Stationarity and uniqueness of generalized matrix learning vector quantization
H de Vries
Machine Learning Reports, 16-21, 2013
Towards Ecologically Valid Research on Language User Interfaces
H de Vries, D Bahdanau, C Manning
arXiv preprint arXiv:2007.14435, 2020
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
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