Joshua C. Peterson

Cogn. Sci., January, 2023

The Universal Law of Generalization Holds for Naturalistic Stimuli.

[BibT_eX]

[DOI]

CoRR, 2023

On the informativeness of supervision signals.

[BibT_eX]

[DOI]

Ilia Sucholutsky

Proceedings of the Uncertainty in Artificial Intelligence, 2023

To each their own theory: Exploring the limits of individual differences in decisions under risk.

[BibT_eX]

[DOI]

Marina Mancoridis

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2021

Combating the climate crisis with cognitive science.

[BibT_eX]

[DOI]

Rachit Dubey

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Fluorescent Nuclei Measurements Macro (FNMM), a tool for automated cell quantification in ImageJ.

[BibT_eX]

[DOI]

Marco C. DeRuiter

Softw. Impacts, 2020

End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior.

[BibT_eX]

[DOI]

Pulkit Singh

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making.

[BibT_eX]

[DOI]

Mayank Agrawal

CoRR, 2019

Capturing human categorization of natural images at scale by combining deep networks and cognitive models.

[BibT_eX]

[DOI]

CoRR, 2019

Predicting human decisions with behavioral theories and machine learning.

[BibT_eX]

[DOI]

CoRR, 2019

Cognitive model priors for predicting human decisions.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Human Uncertainty Makes Classification More Robust.

[BibT_eX]

[DOI]

Olga Russakovsky

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning deep taxonomic priors for concept learning from few positive examples.

[BibT_eX]

[DOI]

Erin Grant

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning.

[BibT_eX]

[DOI]

Mayank Agrawal

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Leveraging deep neural networks to study human cognition.

[BibT_eX]

[DOI]

Joshua Caleb Peterson

PhD thesis, 2018

Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.

[BibT_eX]

[DOI]

Cogn. Sci., 2018

Capturing Human Category Representations by Sampling in Deep Feature Spaces.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning a face space for experiments on human identity.

[BibT_eX]

[DOI]

Jordan W. Suchow

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Leveraging deep neural networks to capture psychological representations.

[BibT_eX]

[DOI]

CoRR, 2017

Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Evidence for the size principle in semantic and perceptual domains.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Evaluating vector-space models of analogy.

[BibT_eX]

[DOI]

Dawn Chen

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Modeling human categorization of natural images using deep feature representations.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Modelling Student Behavior using Granular Large Scale Action Data from a MOOC.

[BibT_eX]

[DOI]

Steven Tang

Zachary A. Pardos

CoRR, 2016

Deep Neural Networks and How They Apply to Sequential Education Data.

[BibT_eX]

[DOI]

Steven Tang

Zachary A. Pardos

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Adapting Deep Network Features to Capture Psychological Representations.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

What Makes an Object Memorable?

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Emotionally mediated crossmodal correspondences affect classification performance.

[BibT_eX]

[DOI]

Stephen E. Palmer

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

The colors and textures of musical sounds.

[BibT_eX]

[DOI]

Thomas Langlois