Brenden M. Lake

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Joshua B. TenenbaumMITAdresse e-mail validée de mit.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUAdresse e-mail validée de cs.cmu.edu
Marco BaroniICREA Professor (Barcelona)Adresse e-mail validée de upf.edu
Todd GureckisProfessor of Psychology, New York UniversityAdresse e-mail validée de nyu.edu
Wai Keen VongMetaAdresse e-mail validée de meta.com
Tomer UllmanAssistant Professor, HarvardAdresse e-mail validée de fas.harvard.edu
Samuel GershmanProfessor, Harvard UniversityAdresse e-mail validée de fas.harvard.edu
Emin OrhanAdresse e-mail validée de nyu.edu
Wentao WangNew York UniversityAdresse e-mail validée de nyu.edu
Jason GrossGraduate, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Anselm RotheNew York UniversityAdresse e-mail validée de nyu.edu
Kanishk GandhiStanford UniversityAdresse e-mail validée de stanford.edu
Reuben FeinmanCommon Sense MachinesAdresse e-mail validée de csm.ai
Moira R. DillonAssistant Professor, Department of Psychology, New York UniversityAdresse e-mail validée de nyu.edu
Maxwell Nyeadept.aiAdresse e-mail validée de alum.mit.edu
Laura RuisUniversity College LondonAdresse e-mail validée de ucl.ac.uk
Tal LinzenNew York UniversityAdresse e-mail validée de nyu.edu
Guy DavidsonNYU Center for Data ScienceAdresse e-mail validée de minerva.kgi.edu
Vaibhav GuptaGoogleAdresse e-mail validée de google.com
Gregory L. MurphyDepartment of Psychology, New York UniversityAdresse e-mail validée de nyu.edu

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Brenden M. Lake

Associate Professor, New York University

Adresse e-mail validée de nyu.edu - Page d'accueil

cognitive science data science artificial intelligence machine learning cognitive psychology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3823	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	3518	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	1102	2011
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks BM Lake, M Baroni International Conference on Machine Learning (ICML), 2018	969	2018
One-shot learning by inverting a compositional causal process BM Lake, R Salakhutdinov, JB Tenenbaum Advances in Neural Information Processing Systems 26, 2013	338	2013
Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems 32, 2019	229	2019
Human-like systematic generalization through a meta-learning neural network BM Lake, M Baroni Nature 623, 115-121, 2023	219	2023
Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010	186	2010
The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019	183	2019
Word meaning in minds and machines BM Lake, GL Murphy Psychological Review 130, 401-431, 2023	170	2023
A Benchmark for Systematic Generalization in Grounded Language Understanding L Ruis, J Andreas, M Baroni, D Bouchacourt, BM Lake Advances in Neural Information Processing Systems 33, 2020	165	2020
Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018	163	2018
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	142	2019
Improving coherence and consistency in neural sequence models with dual-system, neuro-symbolic reasoning M Nye, M Tessler, J Tenenbaum, BM Lake Advances in Neural Information Processing Systems 34, 25192-25204, 2021	129	2021
Learning Compositional Rules via Neural Program Synthesis MI Nye, A Solar-Lezama, JB Tenenbaum, BM Lake Advances in Neural Information Processing Systems 33, 2020	129	2020
Self-supervised learning through the eyes of a child AE Orhan, VV Gupta, BM Lake Advances in Neural Information Processing Systems 33, 2020	119	2020
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	106	2015
Grounded language acquisition through the eyes and ears of a single child WK Vong, W Wang, AE Orhan, BM Lake Science 383 (6682), 504-511, 2024	77	2024
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	76	2014
The role of developmental change and linguistic experience in the mutual exclusivity effect M Lewis, V Cristiano, BM Lake, T Kwan, MC Frank Cognition 198, 104191, 2020	69	2020

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