4 papers
Bound by semanticity: universal laws governing the generalization-identification tradeoff
Marco Nurisso, Jesseba Fernando, Raj Deshpande +9
Intelligent systems must deploy internal representations that are simultaneously structured -- to support broad generalization -- and selective -- to preserve input identity. We ex…
Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction
Andrew Jun Lee, Taylor Webb, Trevor Bihl +2
The ability to learn new visual concepts from limited examples is a hallmark of human cognition. While traditional category learning models represent each example as an unstructure…
Evaluating Compositional Scene Understanding in Multimodal Generative Models
Shuhao Fu, Andrew Jun Lee, Anna Wang +4
The visual world is fundamentally compositional. Visual scenes are defined by the composition of objects and their relations. Hence, it is essential for computer vision systems to…
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models
Taylor Webb, Keith J. Holyoak, Hongjing Lu
We recently reported evidence that large language models are capable of solving a wide range of text-based analogy problems in a zero-shot manner, indicating the presence of an eme…