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) and FAIR Research Scientist (Paris)Verified email at fb.com
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
Kanishk GandhiNew York UniversityVerified email at nyu.edu
James L. McClellandStanford UniversityVerified email at stanford.edu
Emin OrhanNYUVerified email at nyu.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
Maxwell NyePh.D. candidate at MITVerified email at mit.edu
Chia-ying (Jackie) LeeGraduate student of Computer Science, MITVerified email at csail.mit.edu
James GlassMIT Computer Science and Artificial Intelligence LaboratoryVerified email at mit.edu
Tal LinzenNew York UniversityVerified email at nyu.edu
Wai Keen VongNew York UniversityVerified email at nyu.edu
Laura RuisNew York UniversityVerified email at nyu.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	2126	2015
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and Brain Sciences 40, 2017	1701	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	596	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	348*	2018
One-shot learning by inverting a compositional causal process BM Lake, R Salakhutdinov, JB Tenenbaum Advances in Neural Information Processing Systems 26, 2013	222	2013
Discovering structure by learning sparse graphs B Lake, J Tenenbaum Proceedings of the 33rd Annual Cognitive Science Conference, 2010	119	2010
Compositional generalization through meta sequence-to-sequence learning BM Lake Advances in Neural Information Processing Systems 32, 2019	92	2019
Rearranging the familiar: Testing compositional generalization in recurrent networks J Loula, M Baroni, BM Lake arXiv preprint arXiv:1807.07545, 2018	75	2018
The Omniglot challenge: a 3-year progress report BM Lake, R Salakhutdinov, JB Tenenbaum Current Opinion in Behavioral Sciences 29, 97-104, 2019	66	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	63	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	49	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	49	2014
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	38	2020
Question asking as program generation A Rothe, BM Lake, TM Gureckis Advances in Neural Information Processing Systems 30, 2017	36	2017
Towards more human-like concept learning in machines: Compositionality, causality, and learning-to-learn B Lake Massachusetts Institute of Technology, 2014	26	2014
Modeling unsupervised perceptual category learning BM Lake, GK Vallabha, JL McClelland IEEE Transactions on Autonomous Mental Development 1 (1), 35-43, 2009	26	2009
Learning Compositional Rules via Neural Program Synthesis MI Nye, A Solar-Lezama, JB Tenenbaum, BM Lake Advances in Neural Information Processing Systems 33, 2020	25	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	25	2012
Self-supervised learning through the eyes of a child AE Orhan, VV Gupta, BM Lake Advances in Neural Information Processing Systems 33, 2020	19	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	18	2020

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