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Joshua C. Peterson
Joshua C. Peterson
Verified email at princeton.edu
Title
Cited by
Cited by
Year
Human uncertainty makes classification more robust
JC Peterson, RM Battleday, TL Griffiths, O Russakovsky
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1362019
What makes an object memorable?
R Dubey, J Peterson, A Khosla, MH Yang, B Ghanem
Proceedings of the ieee international conference on computer vision, 1089-1097, 2015
1022015
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations
JC Peterson, JT Abbott, TL Griffiths
Cognitive Science 42 (8), 2648-2669, 2018
932018
Adapting deep network features to capture psychological representations
JC Peterson, JT Abbott, TL Griffiths
arXiv preprint arXiv:1608.02164, 2016
76*2016
Cognitive model priors for predicting human decisions
J Peterson, D Bourgin, D Reichman, S Russell, T Griffiths
International Conference on Machine Learning, 5133-5141, 2019
70*2019
Evaluating vector-space models of analogy
D Chen, JC Peterson, TL Griffiths
arXiv preprint arXiv:1705.04416, 2017
672017
Using large-scale experiments and machine learning to discover theories of human decision-making
JC Peterson, DD Bourgin, M Agrawal, D Reichman, TL Griffiths
Science 372 (6547), 1209-1214, 2021
662021
Deep neural networks and how they apply to sequential education data
S Tang, JC Peterson, ZA Pardos
Proceedings of the third (2016) acm conference on learning@ scale, 321-324, 2016
522016
Predicting human decisions with behavioral theories and machine learning
O Plonsky, R Apel, E Ert, M Tennenholtz, D Bourgin, JC Peterson, ...
arXiv preprint arXiv:1904.06866, 2019
512019
Capturing human categorization of natural images by combining deep networks and cognitive models
RM Battleday, JC Peterson, TL Griffiths
Nature communications 11 (1), 1-14, 2020
342020
Modelling student behavior using granular large scale action data from a MOOC
S Tang, JC Peterson, ZA Pardos
arXiv preprint arXiv:1608.04789, 2016
252016
Scaling up psychology via scientific regret minimization
M Agrawal, JC Peterson, TL Griffiths
Proceedings of the National Academy of Sciences 117 (16), 8825-8835, 2020
232020
Parallelograms revisited: Exploring the limitations of vector space models for simple analogies
JC Peterson, D Chen, TL Griffiths
Cognition 205, 104440, 2020
202020
Modeling human categorization of natural images using deep feature representations
RM Battleday, JC Peterson, TL Griffiths
arXiv preprint arXiv:1711.04855, 2017
172017
Understanding Student Success in Chemistry using Gaze Tracking & Pupillometry
J Peterson, Z Pardos, M Rau, A Swigart, C Gerber, J McKinsey
Artificial Intelligence in Education, 2015
162015
Psychological and musical factors underlying engagement with unfamiliar music
P Janata, J Peterson, C Ngan, B Keum, H Whiteside, S Ran
Music Perception: An Interdisciplinary Journal 36 (2), 175-200, 2018
152018
Learning hierarchical visual representations in deep neural networks using hierarchical linguistic labels
JC Peterson, P Soulos, A Nematzadeh, TL Griffiths
arXiv preprint arXiv:1805.07647, 2018
132018
Predictive modelling of student behaviour using granular large-scale action data
S Tang, J Peterson, Z Pardos
The Handbook of Learning Analytics, 223-233, 2017
132017
End-to-end deep prototype and exemplar models for predicting human behavior
P Singh, JC Peterson, RM Battleday, TL Griffiths
arXiv preprint arXiv:2007.08723, 2020
112020
Capturing human categorization of natural images at scale by combining deep networks and cognitive models
RM Battleday, JC Peterson, TL Griffiths
arXiv preprint arXiv:1904.12690, 2019
112019
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