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Beyond Magnitude: How Math Expertise Guides Number Representation.

, , , and . CogSci, cognitivesciencesociety.org, (2015)

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Co-Training as a Human Collaboration Policy., , and . AAAI, page 852-857. AAAI Press, (2011)Human Active Learning., , , , , and . NIPS, page 241-248. Curran Associates, Inc., (2008)Humans Learn Using Manifolds, Reluctantly., , , , and . NIPS, page 730-738. Curran Associates, Inc., (2010)An interactive model accounts for both ultra-rapid superordinate classification and basic-level advantage in object recognition., and . CogSci, cognitivesciencesociety.org, (2016)Disentangling Generativity in Visual Cognition., and . CogSci, cognitivesciencesociety.org, (2020)Semantic feature verification in FLAN-T5., , and . Tiny Papers @ ICLR, OpenReview.net, (2023)Human-machine cooperation for semantic feature listing., , and . Tiny Papers @ ICLR, OpenReview.net, (2023)For Teaching Perceptual Fluency, Machines Beat Human Experts., , , , , , and . CogSci, cognitivesciencesociety.org, (2018)Beyond Magnitude: How Math Expertise Guides Number Representation., , , and . CogSci, cognitivesciencesociety.org, (2015)Connecting learning, memory, and representation in math education., , , , , , , and . CogSci, cognitivesciencesociety.org, (2015)