Joshua B. Tenenbaum

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityEmail confirmado em princeton.edu
Jiajun WuStanford UniversityEmail confirmado em cs.stanford.edu
Noah D. GoodmanStanford UniversityEmail confirmado em stanford.edu
Tomer UllmanAssistant Professor, HarvardEmail confirmado em fas.harvard.edu
Charles KempMelbourne School of Psychological SciencesEmail confirmado em unimelb.edu.au
Antonio TorralbaProfessor of Computer Science, MITEmail confirmado em csail.mit.edu
William T. FreemanProfessor of Computer Science, MITEmail confirmado em mit.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectEmail confirmado em mit.edu
Samuel GershmanProfessor, Harvard UniversityEmail confirmado em fas.harvard.edu
Kevin A SmithDepartment of Brain and Cognitive Sciences, MITEmail confirmado em mit.edu
Chris BakerChief Scientist, ISEE AIEmail confirmado em mit.edu
Brenden M. LakeAssociate Professor, New York UniversityEmail confirmado em nyu.edu
Max Kleiman-WeinerUniversity of WashingtonEmail confirmado em uw.edu
Kelsey AllenResearch Scientist, DeepMindEmail confirmado em deepmind.com
Armando Solar-LezamaMITEmail confirmado em csail.mit.edu
Tobias GerstenbergStanford UniversityEmail confirmado em stanford.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUEmail confirmado em cs.cmu.edu
Andrew PerforsUniversity of MelbourneEmail confirmado em unimelb.edu.au
Mark SteyversUniversity of California, IrvineEmail confirmado em uci.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyEmail confirmado em mit.edu

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Joshua B. Tenenbaum

MIT

Email confirmado em mit.edu - Página inicial

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V Silva, JC Langford science 290 (5500), 2319-2323, 2000	17063	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3604	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017	3197	2017
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling J Wu, C Zhang, T Xue, B Freeman, J Tenenbaum Advances in neural information processing systems 29, 2016	2300	2016
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	2141	2011
The large‐scale structure of semantic networks: Statistical analyses and a model of semantic growth M Steyvers, JB Tenenbaum Cognitive science 29 (1), 41-78, 2005	1846	2005
Meta-learning for semi-supervised few-shot classification M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ... arXiv preprint arXiv:1803.00676, 2018	1594	2018
Hierarchical topic models and the nested Chinese restaurant process T Griffiths, M Jordan, J Tenenbaum, D Blei Advances in neural information processing systems 16, 2003	1559	2003
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1455	2007
Hierarchical deep reinforcement learning: Integrating temporal abstraction and intrinsic motivation TD Kulkarni, K Narasimhan, A Saeedi, J Tenenbaum Advances in neural information processing systems 29, 2016	1418	2016
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1350	2007
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 2002	1269	2002
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	1176	2009
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	1163	2007
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	1158	2006
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	1124	2015
Machine behaviour I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ... Nature 568 (7753), 477-486, 2019	1097	2019
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	1086	2000
One shot learning of simple visual concepts B Lake, R Salakhutdinov, J Gross, J Tenenbaum Proceedings of the annual meeting of the cognitive science society 33 (33), 2011	1047	2011
Rethinking few-shot image classification: a good embedding is all you need? Y Tian, Y Wang, D Krishnan, JB Tenenbaum, P Isola Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	1017	2020

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