Brenden Lake
Brenden Lake
Assistant Professor of Psychology and Data Science, New York University
Dirección de correo verificada de nyu.edu - Página principal
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Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
14762015
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and Brain Sciences 40, 2017
10672017
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
3892011
One-shot learning by inverting a compositional causal process
BM Lake, RR Salakhutdinov, J Tenenbaum
Advances in neural information processing systems, 2526-2534, 2013
1672013
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
BM Lake, M Baroni
International Conference on Machine Learning (ICML), 2018
159*2018
Discovering structure by learning sparse graphs
B Lake, J Tenenbaum
Proceedings of the 33rd Annual Cognitive Science Conference, 2010
1002010
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
472015
Rearranging the familiar: Testing compositional generalization in recurrent networks
J Loula, M Baroni, BM Lake
arXiv preprint arXiv:1807.07545, 2018
422018
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
362014
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
312019
The Omniglot challenge: a 3-year progress report
BM Lake, R Salakhutdinov, JB Tenenbaum
Current Opinion in Behavioral Sciences 29, 97-104, 2019
242019
Compositional generalization through meta sequence-to-sequence learning
BM Lake
Advances in Neural Information Processing Systems, 2019
232019
Question asking as program generation
A Rothe, BM Lake, T Gureckis
Advances in neural information processing systems, 1046-1055, 2017
232017
Modeling unsupervised perceptual category learning
BM Lake, GK Vallabha, JL McClelland
IEEE Transactions on Autonomous Mental Development 1 (1), 35-43, 2009
222009
Towards more human-like concept learning in machines: Compositionality, causality, and learning-to-learn
B Lake
Massachusetts Institute of Technology, 2014
212014
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
202012
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
152011
Asking and evaluating natural language questions
A Rothe, BM Lake, TM Gureckis
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016
122016
Learning Inductive Biases with Simple Neural Networks
R Feinman, BM Lake
Proceedings of the 40th Annual Conference of the Cognitive Science Society, 2018
112018
The emergence of organizing structure in conceptual representation
BM Lake, ND Lawrence, JB Tenenbaum
Cognitive science 42, 809-832, 2018
102018
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