Brenden M. Lake

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Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUDirección de correo verificada de cs.cmu.edu
Marco BaroniICREA Professor (Barcelona)Dirección de correo verificada de upf.edu
Todd GureckisProfessor of Psychology, New York UniversityDirección de correo verificada de nyu.edu
Tomer UllmanAssistant Professor, HarvardDirección de correo verificada de fas.harvard.edu
Samuel GershmanProfessor, Harvard UniversityDirección de correo verificada de fas.harvard.edu
Wai Keen VongNew York UniversityDirección de correo verificada de nyu.edu
Emin OrhanDirección de correo verificada de nyu.edu
Jason GrossGraduate, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Anselm RotheNew York UniversityDirección de correo verificada de nyu.edu
Reuben FeinmanCommon Sense MachinesDirección de correo verificada de csm.ai
Maxwell Nyeadept.aiDirección de correo verificada de alum.mit.edu
Moira R. DillonAssistant Professor, Department of Psychology, New York UniversityDirección de correo verificada de nyu.edu
Kanishk GandhiStanford UniversityDirección de correo verificada de stanford.edu
Wentao WangNew York UniversityDirección de correo verificada de nyu.edu
Laura RuisUniversity College LondonDirección de correo verificada de ucl.ac.uk
Vaibhav GuptaGoogleDirección de correo verificada de google.com
Guy DavidsonNYU Center for Data ScienceDirección de correo verificada de minerva.kgi.edu
Jacob AndreasMITDirección de correo verificada de mit.edu
Gregory L. MurphyDepartment of Psychology, New York UniversityDirección de correo verificada de nyu.edu

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Brenden M. Lake

Associate Professor, New York University

Dirección de correo verificada de nyu.edu - Página principal

cognitive science data science artificial intelligence machine learning cognitive psychology


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3726	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	3323	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	1072	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	921	2018
One-shot learning by inverting a compositional causal process BM Lake, R Salakhutdinov, JB Tenenbaum Advances in Neural Information Processing Systems 26, 2013	334	2013
Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems 32, 2019	222	2019
The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019	179	2019
Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010	176	2010
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
Human-like systematic generalization through a meta-learning neural network BM Lake, M Baroni Nature 623, 115-121, 2023	160	2023
Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018	160	2018
Word meaning in minds and machines BM Lake, GL Murphy Psychological Review 130, 401-431, 2023	146	2023
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	144	2019
Learning Compositional Rules via Neural Program Synthesis MI Nye, A Solar-Lezama, JB Tenenbaum, BM Lake Advances in Neural Information Processing Systems 33, 2020	125	2020
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	118	2021
Self-supervised learning through the eyes of a child AE Orhan, VV Gupta, BM Lake Advances in Neural Information Processing Systems 33, 2020	114	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	107	2015
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	75	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	66	2020
Question asking as program generation A Rothe, BM Lake, TM Gureckis Advances in Neural Information Processing Systems 30, 2017	61	2017

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