Roland Memisevic

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kishore reddy kondaBayesTree IntelligenceVerified email at bayestree.com
Vincent MichalskiPh.D. candidate at Université de MontréalVerified email at umontreal.ca
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Samira Ebrahimi KahouAssociate Professor, École de technologie supérieure/Mila/Canada CIFAR AI ChairVerified email at etsmtl.ca
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairVerified email at polymtl.ca
Sébastien JeanAWS AI LabsVerified email at amazon.com
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARVerified email at iro.umontreal.ca
Xavier BouthillierUniversité de MontréalVerified email at umontreal.ca
Joanna MaterzynskaMITVerified email at mit.edu
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Daniel Jiwoong ImNew York UniversityVerified email at nyu.edu
Raghav GoyalPhD candidate at University of British ColumbiaVerified email at cs.ubc.ca
Zhouhan Lin（林洲汉）Shanghai Jiao Tong University; Mila Lab; Facebook AI ResearchVerified email at umontreal.ca
David J FleetGoogle DeepMind; University of Toronto; Vector InstituteVerified email at cs.toronto.edu
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Christian ThurauN26Verified email at n26.com
Peter N YianilosCEO/CIO Edgestream PartnersVerified email at yianilos.com
Ingo FründCenter for Vision Research, York University, Toronto, ONVerified email at ingofruend.net
Hui JiangProfessor of Electrical Engineering and Computer Science, York UniversityVerified email at cse.yorku.ca

Roland Memisevic

Twenty Billion Neurons, University of Montreal

No verified email - Homepage

Artificial Intelligence Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On Using Very Large Target Vocabulary for Neural Machine Translation S Jean, K Cho, R Memisevic, Y Bengio ACL 2015, 2014	1164	2014
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	1162	2017
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	916	2016
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, 99-111, 2016	473	2016
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	418	2015
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	411	2013
Neural networks with few multiplications Z Lin, M Courbariaux, R Memisevic, Y Bengio arXiv preprint arXiv:1510.03009, 2015	409	2015
Learning to represent spatial transformations with factored higher-order Boltzmann machines R Memisevic, GE Hinton Neural computation 22 (6), 1473-1492, 2010	317	2010
Generating images with recurrent adversarial networks DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 2016	259	2016
Unsupervised learning of image transformations R Memisevic, G Hinton 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	251	2007
The jester dataset: A large-scale video dataset of human gestures J Materzynska, G Berger, I Bax, R Memisevic Proceedings of the IEEE/CVF international conference on computer vision …, 2019	214	2019
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	200	2016
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	198	2017
Learning visual odometry with a convolutional network. KR Konda, R Memisevic VISAPP (1) 2015, 486-490, 2015	192	2015
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, 2016	184	2016
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	177	2015
Gated softmax classification R Memisevic, C Zach, M Pollefeys, GE Hinton Advances in neural information processing systems 23, 2010	140	2010
Learning to relate images R Memisevic IEEE transactions on pattern analysis and machine intelligence 35 (8), 1829-1846, 2013	134	2013
Modeling deep temporal dependencies with recurrent grammar cells"" V Michalski, R Memisevic, K Konda Advances in neural information processing systems 27, 2014	122	2014
Dropout as data augmentation X Bouthillier, K Konda, P Vincent, R Memisevic arXiv preprint arXiv:1506.08700, 2015	119	2015

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