On the Complexity of Bayesian Generalization
ICML'23, 2023. [All Versions]. [Project]. [Models]. This work examines concept generalization at a large scale in the natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily studied isolated, focusing on confined and…
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Rules and Similarity in Concept Learning proceedings.neurips.cc
NeurIPS'99, 1999. [All Versions]. [Preprint]. This paper argues that two apparently distinct modes of generalizing concepts - abstracting rules and computing similarity to exemplars - should both be seen as special cases of a more general Bayesian learning framework. Bayes…
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How variability shapes learning and generalization pure.mpg.de
Trends in Cognitive Sciences, 2022. [All Versions]. A comprehensive review on the trade-off between variability and generalization ability.
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Generalization, similarity, and Bayesian inference cambridge.org
Behavioral and Brain Sciences, 2001. [All Versions]. [Preprint]. Shepard has argued that a universal law should govern generalization across different domains of perception and cognition, as well as across organisms from different species or even different planets. Starting…
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Modeling rules and similarity in colexification escholarship.org
CogSci'21, 2021. [All Versions]. Rule- and similarity-based generalization in colexification.
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Compositional Generalization via Neural-Symbolic Stack Machines arxiv.org
NeurIPS'20, 2020. [All Versions].
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AGI & CoCoSci › Papers > Complexity & Information Theory > Theory: “ICML'23, 2023. [All Versions]. [Project]. [Models]. This work examines concept generalization at a large scale in the natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily studied isolated, focusing on confined and…”