3 papers
cs.AI2024
Compositional learning of functions in humans and machines
Yanli Zhou, Brenden M. Lake, Adina Williams
The ability to learn and compose functions is foundational to efficient learning and reasoning in humans, enabling flexible generalizations such as creating new dishes from known c…
cs.AI2024
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
Sreejan Kumar, Raja Marjieh, Byron Zhang +5
Humans extract useful abstractions of the world from noisy sensory data. Serial reproduction allows us to study how people construe the world through a paradigm similar to the game…
cs.CV2023
Compositional diversity in visual concept learning
Yanli Zhou, Reuben Feinman, Brenden M. Lake
Humans leverage compositionality to efficiently learn new concepts, understanding how familiar parts can combine together to form novel objects. In contrast, popular computer visio…