dogear

enter for all results · esc to close

People Infer Recursive Visual Concepts from Just a Few Examples

link.springer.comsite

Computational Brain & Behavior, 2020. [All Versions].

from
AGI & CoCoSci
added
2026-10-10
likes
0

similar

  1. Visual Concept-Metaconcept Learning papers.neurips.cc

    NeurIPS'19, 2019. [All Versions].

  2. Disentangling contributions of visual information and interaction history in the formation of graphical conventions cogsci.mindmodeling.org

    CogSci'19, 2019. [All Versions].

  3. Generating new concepts with hybrid neuro-symbolic models. arxiv.org

    CogSci'20, 2020. [All Versions].

  4. 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.

  5. 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…

  6. 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].”