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Picture for Jonathan D. Cohen

Jonathan D. Cohen

Department of Neuroscience, Princeton University

A Self-Supervised Framework for Function Learning and Extrapolation


Jun 14, 2021
Simon N. Segert, Jonathan D. Cohen

* 15 pages, 4 figures 

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Control of mental representations in human planning


May 14, 2021
Mark K. Ho, David Abel, Carlos G. Correa, Michael L. Littman, Jonathan D. Cohen, Thomas L. Griffiths


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Emergent Symbols through Binding in External Memory


Dec 29, 2020
Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen


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A Memory-Augmented Neural Network Model of Abstract Rule Learning


Dec 15, 2020
Ishan Sinha, Taylor W. Webb, Jonathan D. Cohen


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Meta-Learning of Compositional Task Distributions in Humans and Machines


Oct 05, 2020
Sreejan Kumar, Ishita Dasgupta, Jonathan D. Cohen, Nathaniel D. Daw, Thomas L. Griffiths


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Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks


Jul 20, 2020
Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen


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Learning Representations that Support Extrapolation


Jul 09, 2020
Taylor W. Webb, Zachary Dulberg, Steven M. Frankland, Alexander A. Petrov, Randall C. O'Reilly, Jonathan D. Cohen

* ICML 2020 

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The Efficiency of Human Cognition Reflects Planned Information Processing


Feb 13, 2020
Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths

* 13 pg (incl. supplemental materials); included in Proceedings of the 34th AAAI Conference on Artificial Intelligence 

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Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora


Nov 04, 2019
Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole Beckage, Jonathan D. Cohen

* 30 pages (main text), 5 figures (main text) 

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Matrix-normal models for fMRI analysis


Nov 10, 2017
Michael Shvartsman, Narayanan Sundaram, Mikio C. Aoi, Adam Charles, Theodore C. Wilke, Jonathan D. Cohen


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