Joshua B. Tenenbaum

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

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Joshua B. Tenenbaum

MIT

Email verificata su mit.edu - Home page

Cognitive science artificial intelligence machine learning computational neuroscience cognitive psychology


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
A global geometric framework for nonlinear dimensionality reduction JB Tenenbaum, V Silva, JC Langford science 290 (5500), 2319-2323, 2000	17225	2000
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3714	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017	3307	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	2350	2016
How to grow a mind: Statistics, structure, and abstraction JB Tenenbaum, C Kemp, TL Griffiths, ND Goodman Science 331 (6022), 1279-1285, 2011	2185	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	1868	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	1665	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	1573	2003
Topics in semantic representation. TL Griffiths, M Steyvers, JB Tenenbaum Psychological review 114 (2), 211, 2007	1468	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	1460	2016
Word learning as Bayesian inference. F Xu, JB Tenenbaum Psychological review 114 (2), 245, 2007	1372	2007
Global versus local methods in nonlinear dimensionality reduction V Silva, J Tenenbaum Advances in neural information processing systems 15, 2002	1276	2002
Action understanding as inverse planning CL Baker, R Saxe, JB Tenenbaum Cognition 113 (3), 329-349, 2009	1199	2009
Causal inference in multisensory perception KP Körding, U Beierholm, WJ Ma, S Quartz, JB Tenenbaum, L Shams PLoS one 2 (9), e943, 2007	1182	2007
Machine behaviour I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ... Nature 568 (7753), 477-486, 2019	1181	2019
Theory-based Bayesian models of inductive learning and reasoning JB Tenenbaum, TL Griffiths, C Kemp Trends in cognitive sciences 10 (7), 309-318, 2006	1175	2006
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	1140	2022
Deep convolutional inverse graphics network TD Kulkarni, WF Whitney, P Kohli, J Tenenbaum Advances in neural information processing systems 28, 2015	1132	2015
Separating style and content with bilinear models JB Tenenbaum, WT Freeman Neural Computation 12 (6), 1247-1283, 2000	1090	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	1071	2011

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