Brenden M. Lake

Citado por

	Total	Desde 2020
Citas	12781	9916
Índice h	30	29
Índice i10	45	42

2200

1100

550

1650

20142015201620172018201920202021202220232024202532 37 207 445 785 1202 1753 1774 1861 1996 2146 382

Acceso público

Ver todo

22 artículos

1 artículo

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

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
Wai Keen VongMetaDirección de correo verificada de meta.com
Tomer UllmanAssistant Professor, HarvardDirección de correo verificada de fas.harvard.edu
Samuel GershmanProfessor, Harvard UniversityDirección de correo verificada de fas.harvard.edu
Emin OrhanDirección de correo verificada de nyu.edu
Wentao WangNew York UniversityDirección 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
Kanishk GandhiStanford UniversityDirección de correo verificada de stanford.edu
Reuben FeinmanCommon Sense MachinesDirección de correo verificada de csm.ai
Moira R. DillonAssistant Professor, Department of Psychology, New York UniversityDirección de correo verificada de nyu.edu
Maxwell Nyeadept.aiDirección de correo verificada de alum.mit.edu
Laura RuisUniversity College LondonDirección de correo verificada de ucl.ac.uk
Tal LinzenNew York UniversityDirección de correo verificada de nyu.edu
Guy DavidsonNYU Center for Data ScienceDirección de correo verificada de minerva.kgi.edu
Vaibhav GuptaGoogleDirección de correo verificada de google.com
Gregory L. MurphyDepartment of Psychology, New York UniversityDirección de correo verificada de nyu.edu

Seguir

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	3821	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	3513	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	218	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	169	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	76	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

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores