Brenden Lake - Google Scholar

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Citaties	3399	3311
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i10-index	19	18

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Medeauteurs

Joshua B. TenenbaumMITGeverifieerd e-mailadres voor mit.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUGeverifieerd e-mailadres voor cs.cmu.edu
Tomer UllmanAssistant Professor, HarvardGeverifieerd e-mailadres voor fas.harvard.edu
Samuel GershmanAssociate Professor, Harvard UniversityGeverifieerd e-mailadres voor fas.harvard.edu
Marco BaroniICREA Professor (Barcelona) and FAIR Research Scientist (Paris)Geverifieerd e-mailadres voor fb.com
Todd GureckisProfessor of Psychology, New York UniversityGeverifieerd e-mailadres voor nyu.edu
Jason GrossGraduate, Massachusetts Institute of TechnologyGeverifieerd e-mailadres voor mit.edu
Anselm RotheNew York UniversityGeverifieerd e-mailadres voor nyu.edu
James L. McClellandStanford UniversityGeverifieerd e-mailadres voor stanford.edu
Reuben FeinmanNew York UniversityGeverifieerd e-mailadres voor nyu.edu
Wojciech ZarembaCo-Founder of OpenAIGeverifieerd e-mailadres voor openai.com
Rob FergusProfessor of Computer Science, New York UniversityGeverifieerd e-mailadres voor cs.nyu.edu
Chia-ying (Jackie) LeeGraduate student of Computer Science, MITGeverifieerd e-mailadres voor csail.mit.edu
James GlassMIT Computer Science and Artificial Intelligence LaboratoryGeverifieerd e-mailadres voor mit.edu
Tal LinzenJohns Hopkins UniversityGeverifieerd e-mailadres voor jhu.edu
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoGeverifieerd e-mailadres voor uic.edu
Mathew MonfortMassachusetts Institute of Technology (MIT)Geverifieerd e-mailadres voor mit.edu
Gautam VallabhaTechnical Staff, Johns Hopkins University Applied Physics LaboratoryGeverifieerd e-mailadres voor jhuapl.edu
Neil D. LawrenceUniversity of CambridgeGeverifieerd e-mailadres voor cl.cam.ac.uk
Garrison W. CottrellProfessor of Computer Science, University of California, San DiegoGeverifieerd e-mailadres voor ucsd.edu

Brenden Lake

Assistant Professor of Psychology and Data Science, New York University

Geverifieerd e-mailadres voor nyu.edu - Homepage

cognitive science data science artificial intelligence machine learning cognitive psychology


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1349	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	962	2017
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	349	2011
One-shot learning by inverting a compositional causal process BM Lake, RR Salakhutdinov, J Tenenbaum Advances in neural information processing systems, 2526-2534, 2013	155	2013
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks BM Lake, M Baroni International Conference on Machine Learning (ICML), 2018	144*	2018
Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010	91	2010
Deep Neural Networks Predict Category Typicality Ratings for Images BM Lake, W Zaremba, R Fergus, TM Gureckis Proceedings of the 37th Annual Conference of the Cognitive Science Society, 2015	42	2015
Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018	35	2018
One-shot learning of generative speech concepts BM Lake, C Lee, JR Glass, JB Tenenbaum Proceedings of the 36th Annual Meeting of the Cognitive Science Soceity, 803–808, 2014	32	2014
Human few-shot learning of compositional instructions BM Lake, T Linzen, M Baroni Proceedings of the 41st Annual Conference of the Cognitive Science Society, 2019	25	2019
Towards more human-like concept learning in machines: Compositionality, causality, and learning-to-learn B Lake Massachusetts Institute of Technology, 2014	21	2014
Modeling unsupervised perceptual category learning BM Lake, GK Vallabha, JL McClelland IEEE Transactions on Autonomous Mental Development 1 (1), 35-43, 2009	21	2009
The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019	20	2019
Question asking as program generation A Rothe, BM Lake, T Gureckis Advances in neural information processing systems, 1046-1055, 2017	20	2017
Concept learning as motor program induction: A large-scale empirical study B Lake, R Salakhutdinov, J Tenenbaum Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012	19	2012
Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems, 2019	15	2019
Estimating the strength of unlabeled information during semi-supervised learning B Lake, J McClelland Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011	15	2011
Asking and evaluating natural language questions A Rothe, BM Lake, TM Gureckis Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016	12	2016
Learning Inductive Biases with Simple Neural Networks R Feinman, BM Lake Proceedings of the 40th Annual Conference of the Cognitive Science Society, 2018	10	2018
The emergence of organizing structure in conceptual representation BM Lake, ND Lawrence, JB Tenenbaum Cognitive science 42, 809-832, 2018	9	2018

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