Joshua B. Tenenbaum

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerifierad e-postadress på princeton.edu
Jiajun WuStanford UniversityVerifierad e-postadress på cs.stanford.edu
Noah D. GoodmanStanford UniversityVerifierad e-postadress på stanford.edu
Tomer UllmanAssistant Professor, HarvardVerifierad e-postadress på fas.harvard.edu
Charles KempMelbourne School of Psychological SciencesVerifierad e-postadress på unimelb.edu.au
Antonio TorralbaProfessor of Computer Science, MITVerifierad e-postadress på csail.mit.edu
William T. FreemanProfessor of Computer Science, MITVerifierad e-postadress på mit.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerifierad e-postadress på mit.edu
Samuel GershmanProfessor, Harvard UniversityVerifierad e-postadress på fas.harvard.edu
Kevin A SmithDepartment of Brain and Cognitive Sciences, MITVerifierad e-postadress på mit.edu
Chris BakerChief Scientist, ISEE AIVerifierad e-postadress på mit.edu
Brenden M. LakeAssociate Professor, New York UniversityVerifierad e-postadress på nyu.edu
Max Kleiman-WeinerUniversity of WashingtonVerifierad e-postadress på uw.edu
Kelsey AllenResearch Scientist, DeepMindVerifierad e-postadress på deepmind.com
Armando Solar-LezamaMITVerifierad e-postadress på csail.mit.edu
Tobias GerstenbergStanford UniversityVerifierad e-postadress på stanford.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerifierad e-postadress på cs.cmu.edu
Andrew PerforsUniversity of MelbourneVerifierad e-postadress på unimelb.edu.au
Mark SteyversUniversity of California, IrvineVerifierad e-postadress på uci.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu

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Joshua B. Tenenbaum

MIT

Verifierad e-postadress på mit.edu - Startsida

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V Silva, JC Langford science 290 (5500), 2319-2323, 2000	17064	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3601	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017	3195	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	2299	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	1558	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	1416	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	1162	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	1096	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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