Brenden Lake
Brenden Lake
Assistant Professor of Psychology and Data Science, New York University
Vahvistettu sähköpostiosoite verkkotunnuksessa nyu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
19972015
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and Brain Sciences 40, 2017
15812017
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
5562011
Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
BM Lake, M Baroni
International Conference on Machine Learning (ICML), 2018
307*2018
One-shot learning by inverting a compositional causal process
BM Lake, R Salakhutdinov, JB Tenenbaum
Advances in Neural Information Processing Systems 26, 2013
2142013
Discovering structure by learning sparse graphs
B Lake, J Tenenbaum
Proceedings of the 33rd Annual Cognitive Science Conference, 2010
1182010
Compositional generalization through meta sequence-to-sequence learning
BM Lake
Advances in Neural Information Processing Systems 32, 2019
762019
Rearranging the familiar: Testing compositional generalization in recurrent networks
J Loula, M Baroni, BM Lake
arXiv preprint arXiv:1807.07545, 2018
662018
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
622015
The Omniglot challenge: a 3-year progress report
BM Lake, R Salakhutdinov, JB Tenenbaum
Current Opinion in Behavioral Sciences 29, 97-104, 2019
562019
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
492014
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
422019
Question asking as program generation
A Rothe, BM Lake, TM Gureckis
Advances in Neural Information Processing Systems 30, 2017
322017
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
272020
Towards more human-like concept learning in machines: Compositionality, causality, and learning-to-learn
B Lake
Massachusetts Institute of Technology, 2014
262014
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
242012
Modeling unsupervised perceptual category learning
BM Lake, GK Vallabha, JL McClelland
IEEE Transactions on Autonomous Mental Development 1 (1), 35-43, 2009
242009
Learning Compositional Rules via Neural Program Synthesis
MI Nye, A Solar-Lezama, JB Tenenbaum, BM Lake
Advances in Neural Information Processing Systems 33, 2020
192020
Asking and evaluating natural language questions
A Rothe, BM Lake, TM Gureckis
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016
172016
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
172011
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Artikkelit 1–20