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Martin N Hebart

2 accepted papers

2022

VICE: Variational Interpretable Concept Embeddings

NeurIPS 2022accept

A central goal in the cognitive sciences is the development of numerical models for mental representations of object concepts. This paper introduces Variational Interpretable Concept Embeddings (VICE), an approximate Bayesian method for embedding object concepts in a vector space using data collecte…

2019

Revealing interpretable object representations from human behavior

ICLR 2019poster

To study how mental object representations are related to behavior, we estimated sparse, non-negative representations of objects using human behavioral judgments on images representative of 1,854 object categories. These representations predicted a latent similarity structure between objects, which…

Cited by 42SourcePDFScholar