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Cognitive Science|January 10, 2018
The Emergence of Organizing Structure in Conceptual RepresentationBrenden M Lake, Neil D Lawrence, Joshua B TenenbaumScience (New York, N.Y.)|December 15, 2015
Human-level concept learning through probabilistic program inductionBrenden M Lake, Ruslan Salakhutdinov, Joshua B TenenbaumThe Behavioral and Brain Sciences|November 25, 2016
Building machines that learn and think like peopleBrenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, et al.The Behavioral and Brain Sciences|January 19, 2018
Ingredients of intelligence: From classic debates to an engineering roadmapBrenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, et al.Nature|October 25, 2023
Human-like systematic generalization through a meta-learning neural networkBrenden M Lake, Marco BaroniPsychological Review|July 22, 2021
Word meaning in minds and machinesBrenden M Lake, Gregory L MurphyCognitive Science|April 4, 2022
Cross-Situational Word Learning With Multimodal Neural NetworksWai Keen Vong, Brenden M LakeCognition|January 15, 2024
Compositional diversity in visual concept learningYanli Zhou, Reuben Feinman, Brenden M LakeCognition|February 8, 2024
Spatial relation categorization in infants and deep neural networksGuy Davidson, A Emin Orhan, Brenden M LakeCognitive Science|June 28, 2011
The large-scale structure of semantic networks: statistical analyses and a model of semantic growthMark Steyvers, Joshua B TenenbaumPageof 18