Roland Memisevic
Roland Memisevic
Twenty Billion Neurons, University of Montreal
Vahvistettu sähköpostiosoite verkkotunnuksessa twentybn.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
On Using Very Large Target Vocabulary for Neural Machine Translation
S Jean, K Cho, R Memisevic, Y Bengio
ACL 2015, 2014
9412014
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
6682016
The" something something" video database for learning and evaluating visual common sense
R Goyal, S Ebrahimi Kahou, V Michalski, J Materzynska, S Westphal, ...
Proceedings of the IEEE international conference on computer vision, 5842-5850, 2017
4352017
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10 (2), 99-111, 2016
3682016
Combining modality specific deep neural networks for emotion recognition in video
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
3202013
Neural networks with few multiplications
Z Lin, M Courbariaux, R Memisevic, Y Bengio
arXiv preprint arXiv:1510.03009, 2015
3172015
Learning to represent spatial transformations with factored higher-order Boltzmann machines
R Memisevic, GE Hinton
Neural computation 22 (6), 1473-1492, 2010
2932010
Recurrent neural networks for emotion recognition in video
S Ebrahimi Kahou, V Michalski, K Konda, R Memisevic, C Pal
Proceedings of the 2015 ACM on international conference on multimodal …, 2015
2902015
Unsupervised learning of image transformations
R Memisevic, G Hinton
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
2452007
Generating images with recurrent adversarial networks
DJ Im, CD Kim, H Jiang, R Memisevic
arXiv preprint arXiv:1602.05110, 2016
2062016
Theano: A Python framework for fast computation of mathematical expressions
TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
1712016
Architectural complexity measures of recurrent neural networks
S Zhang, Y Wu, T Che, Z Lin, R Memisevic, RR Salakhutdinov, Y Bengio
Advances in neural information processing systems 29, 1822-1830, 2016
1492016
Montreal neural machine translation systems for WMT’15
S Jean, O Firat, K Cho, R Memisevic, Y Bengio
Proceedings of the Tenth Workshop on Statistical Machine Translation, 134-140, 2015
1492015
Learning visual odometry with a convolutional network.
KR Konda, R Memisevic
VISAPP (1), 486-490, 2015
1422015
Learning to relate images
R Memisevic
IEEE transactions on pattern analysis and machine intelligence 35 (8), 1829-1846, 2013
1252013
Denoising criterion for variational auto-encoding framework
D Im Im, S Ahn, R Memisevic, Y Bengio
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1182017
Learning to solve QBF
H Samulowitz, R Memisevic
AAAI 7, 255-260, 2007
1132007
Modeling deep temporal dependencies with recurrent grammar cells""
V Michalski, R Memisevic, K Konda
Advances in neural information processing systems 27, 1925-1933, 2014
1062014
Gated softmax classification
R Memisevic, C Zach, M Pollefeys, GE Hinton
Advances in neural information processing systems 23, 1603-1611, 2010
1042010
Gradient-based learning of higher-order image features
R Memisevic
2011 International Conference on Computer Vision, 1591-1598, 2011
832011
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Artikkelit 1–20