Brenden Lake

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Joshua B. TenenbaumMITVerified email at mit.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
Marco BaroniICREA Professor (Barcelona)Verified email at upf.edu
Tomer UllmanAssistant Professor, HarvardVerified email at fas.harvard.edu
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Todd GureckisProfessor of Psychology, New York UniversityVerified email at nyu.edu
Jason GrossGraduate, Massachusetts Institute of TechnologyVerified email at mit.edu
Anselm RotheNew York UniversityVerified email at nyu.edu
Reuben FeinmanNew York UniversityVerified email at nyu.edu
Wai Keen VongNew York UniversityVerified email at nyu.edu
Kanishk GandhiStanford UniversityVerified email at stanford.edu
Laura RuisNew York UniversityVerified email at nyu.edu
Maxwell NyeAdept AI LabsVerified email at mit.edu
James L. McClellandStanford UniversityVerified email at stanford.edu
Wojciech ZarembaCo-Founder of OpenAIVerified email at openai.com
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu
Jacob AndreasMITVerified email at mit.edu
Diane BouchacourtFacebook AI ResearchVerified email at fb.com
Tal LinzenNew York UniversityVerified email at nyu.edu
Chia-ying (Jackie) LeeGraduate student of Computer Science, MITVerified email at csail.mit.edu

Brenden Lake

Assistant Professor of Psychology and Data Science, New York University

Verified email at nyu.edu - Homepage

cognitive science data science artificial intelligence machine learning cognitive psychology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	2566	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	2076	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	756	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	488*	2018
One-shot learning by inverting a compositional causal process BM Lake, R Salakhutdinov, JB Tenenbaum Advances in Neural Information Processing Systems 26, 2013	250	2013
Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010	136	2010
Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems 32, 2019	127	2019
Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018	101	2018
The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019	89	2019
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	78	2015
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	71	2020
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	64	2019
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	55	2014
Learning Compositional Rules via Neural Program Synthesis MI Nye, A Solar-Lezama, JB Tenenbaum, BM Lake Advances in Neural Information Processing Systems 33, 2020	51	2020
Question asking as program generation A Rothe, BM Lake, TM Gureckis Advances in Neural Information Processing Systems 30, 2017	42	2017
Self-supervised learning through the eyes of a child AE Orhan, VV Gupta, BM Lake Advances in Neural Information Processing Systems 33, 2020	40	2020
Word meaning in minds and machines. BM Lake, GL Murphy Psychological review, 2021	37	2021
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	31	2020
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	31	2012
Modeling unsupervised perceptual category learning BM Lake, GK Vallabha, JL McClelland IEEE Transactions on Autonomous Mental Development 1 (1), 35-43, 2009	29	2009

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