research
∙
06/14/2023
The Universal Law of Generalization Holds for Naturalistic Stimuli
Shepard's universal law of generalization is a remarkable hypothesis abo...
share
research
∙
07/17/2020
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
Traditional models of category learning in psychology focus on represent...
research
∙
10/16/2019
Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making
Do large datasets provide value to psychologists? Without a systematic m...
research
∙
08/19/2019
Human uncertainty makes classification more robust
The classification performance of deep neural networks has begun to asym...
research
∙
05/22/2019
Cognitive Model Priors for Predicting Human Decisions
Human decision-making underlies all economic behavior. For the past four...
research
∙
04/26/2019
Capturing human categorization of natural images at scale by combining deep networks and cognitive models
Human categorization is one of the most important and successful targets...
research
∙
04/15/2019
Predicting human decisions with behavioral theories and machine learning
Behavioral decision theories aim to explain human behavior. Can they hel...
research
∙
02/18/2019
Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning
Large-scale behavioral datasets enable researchers to use complex machin...
research
∙
05/19/2018
Learning a face space for experiments on human identity
Generative models of human identity and appearance have broad applicabil...
research
∙
05/19/2018
Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels
Modern convolutional neural networks (CNNs) are able to achieve human-le...
research
∙
05/19/2018
Capturing human category representations by sampling in deep feature spaces
Understanding how people represent categories is a core problem in cogni...
research
∙
11/13/2017
Modeling Human Categorization of Natural Images Using Deep Feature Representations
Over the last few decades, psychologists have developed sophisticated fo...
research
∙
06/08/2017
Leveraging deep neural networks to capture psychological representations
Artificial neural networks have seen a recent surge in popularity for th...
research
∙
05/12/2017
Evaluating vector-space models of analogy
Vector-space representations provide geometric tools for reasoning about...
research
∙
05/09/2017
Evidence for the size principle in semantic and perceptual domains
Shepard's Universal Law of Generalization offered a compelling case for ...
research
∙
08/06/2016