Joshua B. Tenenbaum

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Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
Noah D. GoodmanStanford UniversityVerified email at stanford.edu
Tomer UllmanAssistant Professor, HarvardVerified email at fas.harvard.edu
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Charles KempMelbourne School of Psychological SciencesVerified email at unimelb.edu.au
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerified email at mit.edu
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Kevin A SmithDepartment of Brain and Cognitive Sciences, MITVerified email at mit.edu
Chris BakerChief Scientist, ISEE AIVerified email at mit.edu
Brenden M. LakeAssociate Professor, New York UniversityVerified email at nyu.edu
Max Kleiman-WeinerUniversity of WashingtonVerified email at uw.edu
Armando Solar-LezamaMITVerified email at csail.mit.edu
Kelsey AllenResearch Scientist, DeepMindVerified email at deepmind.com
Tobias GerstenbergStanford UniversityVerified email at stanford.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Andrew PerforsUniversity of MelbourneVerified email at unimelb.edu.au
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Tejas KulkarniDeepMind, Massachusetts Institute of TechnologyVerified email at mit.edu

Joshua B. Tenenbaum

MIT

Verified email at mit.edu - Homepage

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V Silva, JC Langford science 290 (5500), 2319-2323, 2000	17339	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3776	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017	3392	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	2391	2016
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	2216	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	1887	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	1703	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	1589	2003
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	1486	2016
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1475	2007
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1379	2007
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 2002	1283	2002
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	1253	2022
Machine behaviour I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ... Nature 568 (7753), 477-486, 2019	1239	2019
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	1212	2009
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	1195	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	1180	2006
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	1141	2015
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	1105	2020
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	1096	2000

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