12 citations · 22 across the 3 of their papers we have counts for
4 papers · 1 filter
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday +1
Traditional models of category learning in psychology focus on representation at the category level as opposed to the stimulus level, even though the two are likely to interact. Th…
Human uncertainty makes classification more robust
Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths +1
The classification performance of deep neural networks has begun to asymptote at near-perfect levels. However, their ability to generalize outside the training set and their robust…
Capturing human categorization of natural images at scale by combining deep networks and cognitive models
Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths
Human categorization is one of the most important and successful targets of cognitive modeling in psychology, yet decades of development and assessment of competing models have bee…
Modeling Human Categorization of Natural Images Using Deep Feature Representations
Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths
Over the last few decades, psychologists have developed sophisticated formal models of human categorization using simple artificial stimuli. In this paper, we use modern machine le…