Roland Memisevic

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Vincent MichalskiPh.D. candidate at Université de MontréalVerified email at umontreal.ca
kishore reddy kondaBayesTree IntelligenceVerified email at bayestree.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Samira Ebrahimi KahouAssistant Professor, University of Calgary/Mila/Canada CIFAR AI ChairVerified email at ucalgary.ca
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairVerified email at polymtl.ca
Sébastien JeanAWS AI LabsVerified email at amazon.com
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
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
Raghav GoyalPhD candidate at University of British ColumbiaVerified email at cs.ubc.ca
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Daniel Jiwoong ImNew York UniversityVerified email at nyu.edu
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
David J FleetGoogle DeepMind; University of Toronto; Vector InstituteVerified email at cs.toronto.edu
Caglar GulcehreAI Researcher, Prof at EPFL, Consultant@Google DeepMind, ex-Staff Research Scientist@Google DeepMindVerified email at google.com
Pierre FROUMENTYPolytechnique MontréalVerified email at polymtl.ca
David Warde-FarleyStaff Research Scientist at Google DeepMindVerified email at google.com
Yann N. DauphinGoogle AIVerified email at dauphin.io

Roland Memisevic

Qualcomm AI Research

Verified email at qti.qualcomm.com - Homepage

Artificial Intelligence Deep Learning


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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	1568	2017
On Using Very Large Target Vocabulary for Neural Machine Translation S Jean, K Cho, R Memisevic, Y Bengio ACL 2015, 2014	1234	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	927	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	510	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	473	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	438	2013
Neural networks with few multiplications Z Lin, M Courbariaux, R Memisevic, Y Bengio arXiv preprint arXiv:1510.03009, 2015	429	2015
Learning to represent spatial transformations with factored higher-order Boltzmann machines R Memisevic, GE Hinton Neural computation 22 (6), 1473-1492, 2010	328	2010
Generating images with recurrent adversarial networks DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 2016	284	2016
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	268	2019
Unsupervised learning of image transformations R Memisevic, G Hinton 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007	257	2007
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	236	2017
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	215	2016
Learning visual odometry with a convolutional network K Konda, R Memisevic International Conference on Computer Vision Theory and Applications 2, 486-490, 2015	211	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	193	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	186	2015
Gated softmax classification R Memisevic, C Zach, M Pollefeys, GE Hinton Advances in neural information processing systems 23, 2010	141	2010
Dropout as data augmentation X Bouthillier, K Konda, P Vincent, R Memisevic arXiv preprint arXiv:1506.08700, 2015	140	2015
Learning to relate images R Memisevic IEEE transactions on pattern analysis and machine intelligence 35 (8), 1829-1846, 2013	135	2013
Modeling deep temporal dependencies with recurrent grammar cells"" V Michalski, R Memisevic, K Konda Advances in neural information processing systems 27, 2014	125	2014

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