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. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified 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
Ingo BaxQualcomm A.I. ResearchVerified email at qti.qualcomm.com
Daniel Jiwoong ImNew York UniversityVerified email at nyu.edu
Xavier BouthillierUniversité de MontréalVerified email at umontreal.ca
Kyunghyun ChoNew York University, GenentechVerified email at nyu.edu
Zhouhan Lin（林洲汉）Shanghai Jiao Tong University; Mila Lab; Facebook AI ResearchVerified email at umontreal.ca
Aaron CourvilleAssociate Professor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Joanna MaterzynskaMITVerified email at mit.edu
Raghav GoyalPhD student at University of British ColumbiaVerified email at cs.ubc.ca
Hui JiangProfessor of Electrical Engineering and Computer Science, York UniversityVerified email at cse.yorku.ca
Caglar GulcehreResearch Scientist at Deepmind and PhD from MILAVerified email at iro.umontreal.ca
Pierre FROUMENTYPolytechnique MontréalVerified email at polymtl.ca
David Warde-FarleySenior Research Scientist, DeepMindVerified email at google.com

Roland Memisevic

Twenty Billion Neurons, University of Montreal

Verified email at twentybn.com - 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	1023	2014
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	792	2016
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	653	2017
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	417	2016
Neural networks with few multiplications Z Lin, M Courbariaux, R Memisevic, Y Bengio arXiv preprint arXiv:1510.03009, 2015	360	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	354	2013
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	352	2015
Learning to represent spatial transformations with factored higher-order Boltzmann machines R Memisevic, GE Hinton Neural computation 22 (6), 1473-1492, 2010	302	2010
Unsupervised learning of image transformations R Memisevic, G Hinton 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	246	2007
Generating images with recurrent adversarial networks DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 2016	226	2016
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	205	2016
Learning visual odometry with a convolutional network. KR Konda, R Memisevic VISAPP (1), 486-490, 2015	163	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	158	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	154	2015
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	147	2017
Learning to relate images R Memisevic IEEE transactions on pattern analysis and machine intelligence 35 (8), 1829-1846, 2013	125	2013
Gated softmax classification R Memisevic, C Zach, M Pollefeys, GE Hinton Advances in neural information processing systems 23, 2010	120	2010
Learning to solve QBF H Samulowitz, R Memisevic AAAI 7, 255-260, 2007	118	2007
Modeling deep temporal dependencies with recurrent grammar cells"" V Michalski, R Memisevic, K Konda Advances in neural information processing systems 27, 2014	114	2014
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	113	2019

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