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
Emin OrhanNYUVerified email at nyu.edu
Laura RuisNew York UniversityVerified email at nyu.edu
Wai Keen VongNew York UniversityVerified email at nyu.edu
Maxwell Nyeadept.aiVerified email at mit.edu
James L. McClellandStanford UniversityVerified email at stanford.edu
Kanishk GandhiStanford UniversityVerified email at stanford.edu
Wojciech ZarembaCo-Founder of OpenAI. Head of Language and Codegen teams. Driving research on Codex, and GPT-(n+1).Verified email at openai.com
Rob FergusResearch Scientist, DeepMind. Professor of Computer Science, New York UniversityVerified email at cs.nyu.edu
Tal LinzenNew York UniversityVerified email at nyu.edu
Jacob AndreasMITVerified email at mit.edu
Diane BouchacourtFacebook AI ResearchVerified email at fb.com

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	2409	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	1932	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	707	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	441*	2018
One-shot learning by inverting a compositional causal process BM Lake, R Salakhutdinov, JB Tenenbaum Advances in Neural Information Processing Systems 26, 2013	241	2013
Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010	135	2010
Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems 32, 2019	118	2019
Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018	88	2018
The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019	81	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	69	2015
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	63	2019
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	56	2020
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	53	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	42	2020
Question asking as program generation A Rothe, BM Lake, TM Gureckis Advances in Neural Information Processing Systems 30, 2017	42	2017
Word meaning in minds and machines. BM Lake, GL Murphy Psychological review, 2021	33	2021
Self-supervised learning through the eyes of a child AE Orhan, VV Gupta, BM Lake Advances in Neural Information Processing Systems 33, 2020	32	2020
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	32	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	30	2012
Towards more human-like concept learning in machines: Compositionality, causality, and learning-to-learn B Lake Massachusetts Institute of Technology, 2014	28	2014

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