Capturing Human Category Representations by Sampling in Deep Feature Spaces

no code implementations • ICLR 2018 • Joshua Peterson, Krishan Aghi, Jordan Suchow, Alexander Ku, Tom Griffiths

In this paper, we introduce a method for estimating the structure of human categories that draws on ideas from both cognitive science and machine learning, blending human-based algorithms with state-of-the-art deep representation learners.

BIG-bench Machine Learning