Brenden Lake

Gandhi, K., Stojnic, G., Lake, B. M. & Dillon, M. R., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 9963-9976 14 p. (Advances in Neural Information Processing Systems; vol. 12).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

CURI: A Benchmark for Productive Concept Learning under Uncertainty

Vedantam, R., Szlam, A., Nickel, M., Morcos, A. & Lake, B., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 10519-10529 11 p. (Proceedings of Machine Learning Research; vol. 139).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Examining Infant Relation Categorization Through Deep Neural Networks

Davidson, G. & Lake, B. M., 2021, p. 258-264. 7 p.

Research output: Contribution to conference › Paper › peer-review

Fast and flexible: Human program induction in abstract reasoning tasks

Johnson, A., Vong, W. K., Lake, B. M. & Gureckis, T. M., 2021, p. 2471-2477. 7 p.

Research output: Contribution to conference › Paper › peer-review

Flexible Compositional Learning of Structured Visual Concepts

Zhou, Y. & Lake, B. M., 2021, p. 1146-1152. 7 p.

Research output: Contribution to conference › Paper › peer-review

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Nye, M., Tessler, M. H., Tenenbaum, J. B. & Lake, B. M., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25192-25204 13 p. (Advances in Neural Information Processing Systems; vol. 30).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

LEARNING TASK-GENERAL REPRESENTATIONS WITH GENERATIVE NEURO-SYMBOLIC MODELING

Feinman, R. & Lake, B. M., 2021.

Research output: Contribution to conference › Paper › peer-review

Modeling artificial category learning from pixels: Revisiting Shepard, Hovland, and Jenkins (1961) with deep neural networks

Tartaglini, A. R., Vong, W. K. & Lake, B. M., 2021, p. 2464-2470. 7 p.

Research output: Contribution to conference › Paper › peer-review

Modeling Question Asking Using Neural Program Generation

Wang, Z. & Lake, B. M., 2021, p. 2595-2601. 7 p.

Research output: Contribution to conference › Paper › peer-review

Word Meaning in Minds and Machines

Lake, B. M. & Murphy, G. L., Jul 22 2021, In: Psychological Review. 130, 2, p. 401-431 31 p.

Research output: Contribution to journal › Review article › peer-review

Open Access

2020

A benchmark for systematic generalization in grounded language understanding

Ruis, L., Andreas, J., Baroni, M., Bouchacourt, D. & Lake, B. M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Generating new concepts with hybrid neuro-symbolic models

Feinman, R. & Lake, B. M., 2020, p. 2315-2321. 7 p.

Research output: Contribution to conference › Paper › peer-review

Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning

Davidson, G. & Lake, B. M., 2020, p. 2023-2029. 7 p.

Research output: Contribution to conference › Paper › peer-review

Learning compositional rules via neural program synthesis

Nye, M. I., Solar-Lezama, A., Tenenbaum, J. B. & Lake, B. M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

Mutual exclusivity as a challenge for deep neural networks

Gandhi, K. & Lake, B., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

People Infer Recursive Visual Concepts from Just a Few Examples

Lake, B. M. & Piantadosi, S. T., Mar 2020, In: Computational Brain and Behavior. 3, 1, p. 54-65 12 p.

Research output: Contribution to journal › Article › peer-review

Self-supervised learning through the eyes of a child

Emin Orhan, A., Gupta, V. V. & Lake, B. M., 2020, In: Advances in Neural Information Processing Systems. 2020-December

Research output: Contribution to journal › Conference article › peer-review

The role of developmental change and linguistic experience in the mutual exclusivity effect

Lewis, M., Cristiano, V., Lake, B. M., Kwan, T. & Frank, M. C., May 2020, In: Cognition. 198, 104191.

Research output: Contribution to journal › Article › peer-review

Open Access

2019

Asking goal-oriented questions and learning from answers

Rothe, A., Lake, B. M. & Gureckis, T. M., 2019, Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019. The Cognitive Science Society, p. 981-986 6 p. (Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Compositional generalization through meta sequence-to-sequence learning

Lake, B. M., 2019, In: Advances in Neural Information Processing Systems. 32

Research output: Contribution to journal › Conference article › peer-review

Human few-shot learning of compositional instructions

Lake, B. M., Linzen, T. & Baroni, M., 2019, Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019. The Cognitive Science Society, p. 611-617 7 p. (Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Learning a smooth kernel regularizer for convolutional neural networks

Feinman, R. & Lake, B. M., 2019, Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019. The Cognitive Science Society, p. 1710-1716 7 p. (Proceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

The Omniglot challenge: a 3-year progress report

Lake, B. M., Salakhutdinov, R. & Tenenbaum, J. B., Oct 2019, In: Current Opinion in Behavioral Sciences. 29, p. 97-104 8 p.

Research output: Contribution to journal › Review article › peer-review

Open Access

2018

Do People Ask Good Questions?

Rothe, A., Lake, B. M. & Gureckis, T. M., Mar 2018, In: Computational Brain and Behavior. 1, 1, p. 69-89 21 p.

Research output: Contribution to journal › Article › peer-review

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Lake, B. & Baroni, M., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 4487-4499 13 p. (35th International Conference on Machine Learning, ICML 2018; vol. 7).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Learning Inductive Biases with Simple Neural Networks

Feinman, R. & Lake, B. M., 2018, Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018. The Cognitive Science Society, p. 1657-1662 6 p. (Proceedings of the 40th Annual Meeting of the Cognitive Science Society, CogSci 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks

Loula, J., Baroni, M. & Lake, B. M., 2018, EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop. Association for Computational Linguistics (ACL), p. 108-114 7 p. (EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

The Emergence of Organizing Structure in Conceptual Representation

Lake, B. M., Lawrence, N. D. & Tenenbaum, J. B., Jun 2018, In: Cognitive Science. 42, p. 809-832 24 p.

Research output: Contribution to journal › Article › peer-review

Open Access

2017

Building machines that learn and think like people

Lake, B. M., Ullman, T. D., Tenenbaum, J. B. & Gershman, S. J., 2017, In: Behavioral and Brain Sciences. 40, e253.

Research output: Contribution to journal › Article › peer-review

Open Access

Finding solace in defeat by artificial intelligence

Lake, B., Apr 28 2017, MIT's technology review.

Research output: Contribution to specialist publication › Article

Ingredients of intelligence: From classic debates to an engineering roadmap

Lake, B. M., Ullman, T. D., Tenenbaum, J. B. & Gershman, S. J., Jan 1 2017, In: The Behavioral and brain sciences. 40, p. e281

Research output: Contribution to journal › Comment/debate › peer-review

Question asking as program generation

Rothe, A., Lake, B. M. & Gureckis, T. M., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. 1047-1056 10 p.

Research output: Contribution to journal › Conference article › peer-review

2016

Asking and evaluating natural language questions

Rothe, A., Lake, B. M. & Gureckis, T. M., 2016, Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. Papafragou, A., Grodner, D., Mirman, D. & Trueswell, J. C. (eds.). The Cognitive Science Society, p. 2051-2056 6 p. (Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Searching large hypothesis spaces by asking questions

Cohen, A. N. & Lake, B. M., 2016, Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. Papafragou, A., Grodner, D., Mirman, D. & Trueswell, J. C. (eds.). The Cognitive Science Society, p. 644-649 6 p. (Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2015

Deep Neural Networks Predict Category Typicality Ratings for Images

Lake, B. M., Zaremba, W., Fergus, R. & Gureckis, T. M., 2015, Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015. Noelle, D. C., Dale, R., Warlaumont, A., Yoshimi, J., Matlock, T., Jennings, C. D. & Maglio, P. P. (eds.). The Cognitive Science Society, p. 1243-1248 6 p. (Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Human-level concept learning through probabilistic program induction

Lake, B. M., Salakhutdinov, R. & Tenenbaum, J. B., Dec 11 2015, In: Science. 350, 6266, p. 1332-1338 7 p.

Research output: Contribution to journal › Article › peer-review

Brenden Lake

Research output

Search results