People Infer Recursive Visual Concepts from Just a Few Examples
Computational Brain & Behavior, 2020. [All Versions].
- from
- AGI & CoCoSci
- added
- 2026-10-10
- likes
- 0
similar
-
-
Disentangling contributions of visual information and interaction history in the formation of graphical conventions cogsci.mindmodeling.org
CogSci'19, 2019. [All Versions].
-
Generating new concepts with hybrid neuro-symbolic models. arxiv.org
CogSci'20, 2020. [All Versions].
-
Pragmatic Inference and Visual Abstraction Enable Contextual Flexibility During Visual Communication link.springer.com
Computational Brain & Behavior, 2020. [All Versions]. A computational account on the rational behavior in graphical language games.
-
Bayesian modeling of human concept learning proceedings.neurips.cc
NeurIPS'98, 1998. [All Versions]. [Preprint]. This work considers the problem of learning concepts from small numbers of positive examples, a feat which humans perform routinely but which computers are rarely capable of. Bridging machine learning and cognitive science…
-
Learning Part-Based Abstractions for Visual Object Concepts cogtoolslab.github.io
CogSci'21, 2021. [All Versions].
AGI & CoCoSci › Papers > Methodologies for Experiments > Human-Machine Comparison: “Computational Brain & Behavior, 2020. [All Versions].”