Brenden Lake
Brenden Lake
Assistant Professor of Psychology and Data Science, New York University
Verified email at nyu.edu - Homepage
TitleCited byYear
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
11492015
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and Brain Sciences 40, 2017
8052017
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
2822011
One-shot learning by inverting a compositional causal process
BM Lake, RR Salakhutdinov, J Tenenbaum
Advances in neural information processing systems, 2526-2534, 2013
1352013
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
BM Lake, M Baroni
International Conference on Machine Learning (ICML), 2018
104*2018
Discovering structure by learning sparse graphs
B Lake, J Tenenbaum
Proceedings of the 33rd Annual Cognitive Science Conference, 2010
842010
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
402015
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
292014
Rearranging the familiar: Testing compositional generalization in recurrent networks
J Loula, M Baroni, BM Lake
arXiv preprint arXiv:1807.07545, 2018
222018
Modeling unsupervised perceptual category learning
BM Lake, GK Vallabha, JL McClelland
IEEE Transactions on Autonomous Mental Development 1 (1), 35-43, 2009
212009
Towards more human-like concept learning in machines: Compositionality, causality, and learning-to-learn
B Lake
Massachusetts Institute of Technology, 2014
202014
Question asking as program generation
A Rothe, BM Lake, T Gureckis
Advances in neural information processing systems, 1046-1055, 2017
192017
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
192012
Estimating the strength of unlabeled information during semi-supervised learning
B Lake, J McClelland
Proceedings of the Annual Meeting of the Cognitive Science Society 33 (33), 2011
132011
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
112019
Asking and evaluating natural language questions
A Rothe, BM Lake, TM Gureckis
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016
92016
The Omniglot challenge: a 3-year progress report
BM Lake, R Salakhutdinov, JB Tenenbaum
Current Opinion in Behavioral Sciences 29, 97-104, 2019
82019
Softstar: Heuristic-Guided Probabilistic Inference
M Monfort, BM Lake, BD Ziebart, P Lucey, JB Tenenbaum
Advances in Neural Information Processing Systems 29, 2015
82015
Age of acquisition in facial identification: A connectionist approach
BM Lake, GW Cottrell
Proceedings of the 27th Annual Cognitive Science Conference, 1-6, 2005
82005
The emergence of organizing structure in conceptual representation
BM Lake, ND Lawrence, JB Tenenbaum
Cognitive science 42, 809-832, 2018
72018
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Articles 1–20