Lake, Brenden M.

Human-level concept learning through probabilistic program induction

Lake, B. M., Salakhutdinov, R., & Tenenbaum, J. B. (2015) · Science

Domain Adaptation and Few-Shot LearningBayesian Modeling and Causal Inference

Cited by 2,817

Building machines that learn and think like people

Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2017) · Behavioral and Brain Sciences

Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning

Cited by 2,550

Building Machines That Learn and Think Like People

Lake, B. M., Ullman, T. D., Tenenbaum, J. B., & Gershman, S. J. (2016) · arXiv

Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning

Cited by 2,550

Human-like systematic generalization through a meta-learning neural network

Lake, B. M., & Baroni, M. (2023) · Nature

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 230

Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks

Loula, J., Baroni, M., & Lake, B. (2018) · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Topic ModelingNatural Language Processing Techniques

Cited by 136

Word meaning in minds and machines.

Lake, B. M., & Murphy, G. L. (2023) · Psychological Review

Categorization, perception, and languageNatural Language Processing Techniques

Cited by 131

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) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 40