One-shot learning of generative speech concepts
CogSci'14, 2014. [All Versions].
- from
- AGI & CoCoSci
- added
- 2026-10-10
- likes
- 0
similar
-
-
Learning Part-Based Abstractions for Visual Object Concepts cogtoolslab.github.io
CogSci'21, 2021. [All Versions].
-
Learning Task-General Representations with Generative Neuro-Symbolic Modeling arxiv.org
ICLR'21, 2021. [All Versions].
-
Generating new concepts with hybrid neuro-symbolic models. arxiv.org
CogSci'20, 2020. [All Versions].
-
Constructing a hypothesis space from the Web for large-scale Bayesian word learning cocosci.princeton.edu
CogSci'12, 2012. [All Versions].
-
Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension escholarship.org
CogSci'16, 2016. [All Versions]. Models of concept learning and theory acquisition often invoke a stochastic search process, in which learners generate hypotheses through some structured random process and thenevaluate them on some data measuring their quality or value. To be…
AGI & CoCoSci › Papers > Methodologies for Experiments > Human-Machine Comparison: “CogSci'14, 2014. [All Versions].”