Jamie Kiros

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Soavtorji

Richard ZemelProfessor of Computer Science, University of TorontoPreverjeni e-poštni naslov na cs.toronto.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUPreverjeni e-poštni naslov na cs.cmu.edu
Jimmy BaUniversity of TorontoPreverjeni e-poštni naslov na cs.toronto.edu
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoPreverjeni e-poštni naslov na cs.toronto.edu
Sanja FidlerUniversity of Toronto, NVIDIAPreverjeni e-poštni naslov na cs.toronto.edu
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Preverjeni e-poštni naslov na cs.toronto.edu
Antonio TorralbaProfessor of Computer Science, MITPreverjeni e-poštni naslov na csail.mit.edu
Yukun ZhuGooglePreverjeni e-poštni naslov na google.com
Kelvin XuGoogle DeepMindPreverjeni e-poštni naslov na google.com
Kyunghyun ChoNew York University, GenentechPreverjeni e-poštni naslov na nyu.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARPreverjeni e-poštni naslov na umontreal.ca
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairPreverjeni e-poštni naslov na umontreal.ca
William ChanIdeogramPreverjeni e-poštni naslov na ideogram.ai
Kevin SwerskyGoogle BrainPreverjeni e-poštni naslov na cs.toronto.edu
Mengye RenNYUPreverjeni e-poštni naslov na nyu.edu
Mitchell SternUC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Jakob UszkoreitInceptivePreverjeni e-poštni naslov na uszkoreit.net
David J FleetGoogle DeepMind; University of Toronto; Vector InstitutePreverjeni e-poštni naslov na cs.toronto.edu
Fartash FaghriApple ML ResearchPreverjeni e-poštni naslov na cs.toronto.edu
Narayanan SundaramMetaPreverjeni e-poštni naslov na fb.com

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Jamie Kiros

OpenAI

Preverjeni e-poštni naslov na openai.com

Machine Learning Natural Language Processing Computer Vision


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Layer normalization JL Ba, JR Kiros, GE Hinton arXiv preprint arXiv:1607.06450, 2016	14636	2016
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	13289	2015
Gpt-4 technical report J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ... arXiv preprint arXiv:2303.08774, 2023	11305*	2023
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	3422	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems, 3294-3302, 2015	3246	2015
Unifying visual-semantic embeddings with multimodal neural language models R Kiros, R Salakhutdinov, RS Zemel arXiv preprint arXiv:1411.2539, 2014	1747	2014
Vse++: Improved visual-semantic embeddings F Faghri, DJ Fleet, JR Kiros, S Fidler arXiv preprint arXiv:1707.05612 2 (7), 8, 2017	1504*	2017
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	1366	2015
Exploring models and data for image question answering M Ren, R Kiros, R Zemel Advances in neural information processing systems, 2953-2961, 2015	1099*	2015
Multimodal neural language models R Kiros, R Salakhutdinov, R Zemel International Conference on Machine Learning, 595-603, 2014	913	2014
Action recognition using visual attention S Sharma, R Kiros, R Salakhutdinov arXiv preprint arXiv:1511.04119, 2015	862	2015
Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015	649	2015
Insertion Transformer: Flexible Sequence Generation via Insertion Operations M Stern, W Chan, J Kiros, J Uszkoreit arXiv preprint arXiv:1902.03249, 2019	267	2019
Graph normalizing flows J Liu, A Kumar, J Ba, J Kiros, K Swersky Advances in Neural Information Processing Systems, 13556-13566, 2019	216	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	181	2014
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	79	2014
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	61	2018
Training neural networks with stochastic hessian-free optimization R Kiros arXiv preprint arXiv:1301.3641, 2013	54	2013
ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning H Chan, Y Wu, J Kiros, S Fidler, J Ba arXiv preprint arXiv:1902.04546, 2019	44	2019
DOM-Q-NET: Grounded RL on Structured Language S Jia, J Kiros, J Ba arXiv preprint arXiv:1902.07257, 2019	43	2019

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