Jamie Kiros

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Richard ZemelProfessor of Computer Science, University of TorontoAdresse e-mail validée de cs.toronto.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUAdresse e-mail validée de cs.cmu.edu
Jimmy BaUniversity of TorontoAdresse e-mail validée de cs.toronto.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleAdresse e-mail validée de cs.toronto.edu
Sanja FidlerUniversity of Toronto, NVIDIAAdresse e-mail validée de cs.toronto.edu
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Adresse e-mail validée de cs.toronto.edu
Antonio TorralbaProfessor of Computer Science, MITAdresse e-mail validée de csail.mit.edu
Yukun ZhuGoogleAdresse e-mail validée de google.com
Kelvin XuPhD Student at UC BerkeleyAdresse e-mail validée de berkeley.edu
Kyunghyun ChoNew York University, GenentechAdresse e-mail validée de nyu.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARAdresse e-mail validée de umontreal.ca
Aaron CourvilleAssociate Professor, DIRO, Université de Montréal, Mila, Cifar CAI chairAdresse e-mail validée de umontreal.ca
William ChanGoogle BrainAdresse e-mail validée de google.com
Kevin SwerskyGoogle BrainAdresse e-mail validée de cs.toronto.edu
Mengye RenNYU, Google BrainAdresse e-mail validée de nyu.edu
Mitchell SternUC BerkeleyAdresse e-mail validée de berkeley.edu
Jakob UszkoreitInceptiveAdresse e-mail validée de uszkoreit.net
Narayanan SundaramFacebookAdresse e-mail validée de fb.com
Ryan P. AdamsPrinceton UniversityAdresse e-mail validée de princeton.edu
Oren RippelMIT, Harvard UniversityAdresse e-mail validée de mit.edu

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Jamie Kiros

Co-Founder, Startup

Adresse e-mail validée de google.com

Machine Learning Natural Language Processing Computer Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Show, attend and tell: Neural image caption generation with visual attention K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ... International conference on machine learning, 2048-2057, 2015	9343	2015
Layer normalization JL Ba, JR Kiros, GE Hinton arXiv preprint arXiv:1607.06450, 2016	5811	2016
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems, 3294-3302, 2015	2596	2015
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler Proceedings of the IEEE international conference on computer vision, 19-27, 2015	1781	2015
Unifying visual-semantic embeddings with multimodal neural language models R Kiros, R Salakhutdinov, RS Zemel arXiv preprint arXiv:1411.2539, 2014	1314	2014
Scalable bayesian optimization using deep neural networks J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ... International Conference on Machine Learning, 2171-2180, 2015	868	2015
Exploring models and data for image question answering M Ren, R Kiros, R Zemel Advances in neural information processing systems, 2953-2961, 2015	829*	2015
Vse++: Improved visual-semantic embeddings F Faghri, DJ Fleet, JR Kiros, S Fidler arXiv preprint arXiv:1707.05612 2 (7), 8, 2017	751*	2017
Multimodal neural language models R Kiros, R Salakhutdinov, R Zemel International Conference on Machine Learning, 595-603, 2014	747	2014
Action recognition using visual attention S Sharma, R Kiros, R Salakhutdinov arXiv preprint arXiv:1511.04119, 2015	708	2015
Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015	501	2015
Insertion Transformer: Flexible Sequence Generation via Insertion Operations M Stern, W Chan, J Kiros, J Uszkoreit arXiv preprint arXiv:1902.03249, 2019	170	2019
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ... Medical image analysis 18 (7), 1217-1232, 2014	142	2014
Graph normalizing flows J Liu, A Kumar, J Ba, J Kiros, K Swersky Advances in Neural Information Processing Systems, 13556-13566, 2019	91	2019
A multiplicative model for learning distributed text-based attribute representations R Kiros, R Zemel, RR Salakhutdinov Advances in neural information processing systems, 2348-2356, 2014	77	2014
Training neural networks with stochastic hessian-free optimization R Kiros arXiv preprint arXiv:1301.3641, 2013	50	2013
Deep representations and codes for image auto-annotation R Kiros, C Szepesvári Advances in Neural Information Processing Systems, 908-916, 2012	43	2012
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search J Kiros, W Chan, G Hinton Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	37	2018
Stacked multiscale feature learning for domain independent medical image segmentation R Kiros, K Popuri, D Cobzas, M Jagersand International Workshop on Machine Learning in Medical Imaging, 25-32, 2014	29	2014
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data J Kiros, W Chan Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	23	2018

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