Brenden M. Lake

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Joshua B. TenenbaumMITVerifierad e-postadress på mit.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerifierad e-postadress på cs.cmu.edu
Marco BaroniICREA Professor (Barcelona)Verifierad e-postadress på upf.edu
Todd GureckisProfessor of Psychology, New York UniversityVerifierad e-postadress på nyu.edu
Tomer UllmanAssistant Professor, HarvardVerifierad e-postadress på fas.harvard.edu
Samuel GershmanProfessor, Harvard UniversityVerifierad e-postadress på fas.harvard.edu
Wai Keen VongNew York UniversityVerifierad e-postadress på nyu.edu
Emin OrhanVerifierad e-postadress på nyu.edu
Jason GrossGraduate, Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
Anselm RotheNew York UniversityVerifierad e-postadress på nyu.edu
Reuben FeinmanCommon Sense MachinesVerifierad e-postadress på csm.ai
Maxwell Nyeadept.aiVerifierad e-postadress på alum.mit.edu
Moira R. DillonAssistant Professor, Department of Psychology, New York UniversityVerifierad e-postadress på nyu.edu
Kanishk GandhiStanford UniversityVerifierad e-postadress på stanford.edu
Laura RuisUniversity College LondonVerifierad e-postadress på ucl.ac.uk
Wentao WangNew York UniversityVerifierad e-postadress på nyu.edu
Vaibhav GuptaGoogleVerifierad e-postadress på google.com
Guy DavidsonNYU Center for Data ScienceVerifierad e-postadress på minerva.kgi.edu
Jacob AndreasMITVerifierad e-postadress på mit.edu
Gregory L. MurphyDepartment of Psychology, New York UniversityVerifierad e-postadress på nyu.edu

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Brenden M. Lake

Associate Professor, New York University

Verifierad e-postadress på nyu.edu - Startsida

cognitive science data science artificial intelligence machine learning cognitive psychology


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3638	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	3221	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	1056	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	872	2018
One-shot learning by inverting a compositional causal process BM Lake, R Salakhutdinov, JB Tenenbaum Advances in Neural Information Processing Systems 26, 2013	329	2013
Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems 32, 2019	218	2019
The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019	174	2019
Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010	171	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	159	2020
Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018	155	2018
Word meaning in minds and machines BM Lake, GL Murphy Psychological Review 130, 401-431, 2023	141	2023
Human-like systematic generalization through a meta-learning neural network BM Lake, M Baroni Nature 623, 115-121, 2023	135	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	134	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	116	2020
Self-supervised learning through the eyes of a child AE Orhan, VV Gupta, BM Lake Advances in Neural Information Processing Systems 33, 2020	106	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	105	2021
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	105	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	74	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	62	2020
Question asking as program generation A Rothe, BM Lake, TM Gureckis Advances in Neural Information Processing Systems 30, 2017	60	2017

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