27 citations · 68 across the 15 of their papers we have counts for
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cs.LG2020
Generating new concepts with hybrid neuro-symbolic models
Reuben Feinman, Brenden M. Lake
Human conceptual knowledge supports the ability to generate novel yet highly structured concepts, and the form of this conceptual knowledge is of great interest to cognitive scient…
cs.LG2020
Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
Guy Davidson, Brenden M. Lake
We explore the benefits of augmenting state-of-the-art model-free deep reinforcement algorithms with simple object representations. Following the Frostbite challenge posited by Lak…
cs.LG2019
People infer recursive visual concepts from just a few examples
Brenden M. Lake, Steven T. Piantadosi
Machine learning has made major advances in categorizing objects in images, yet the best algorithms miss important aspects of how people learn and think about categories. People ca…