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Thomas L. Griffiths

Extending rational models of communication from beliefs to actions


May 25, 2021
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths

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* 7 pages, 4 figures. Proceedings for the 43rd Annual Meeting of the Cognitive Science Society 
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Are Convolutional Neural Networks or Transformers more like human vision?


May 15, 2021
Shikhar Tuli, Ishita Dasgupta, Erin Grant, Thomas L. Griffiths

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* Accepted at CogSci 2021 
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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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Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task


May 13, 2021
Sonia K. Murthy, Robert D. Hawkins, Thomas L. Griffiths

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* under review 
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From partners to populations: A hierarchical Bayesian account of coordination and convention


Apr 12, 2021
Robert D. Hawkins, Michael Franke, Michael C. Frank, Kenny Smith, Thomas L. Griffiths, Noah D. Goodman

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* Draft version, 4/12/2021. This paper has not been peer reviewed. Please do not copy or cite without author's permission 
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Evaluating Models of Robust Word Recognition with Serial Reproduction


Jan 24, 2021
Stephan C. Meylan, Sathvik Nair, Thomas L. Griffiths

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* Cognition Volume 210, May 2021, 104553 
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Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation


Dec 16, 2020
Theodore R. Sumers, Mark K. Ho, Thomas L. Griffiths

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* 7 pages, 4 figures. Proceedings for the 42nd Annual Meeting of the Cognitive Science Society 
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Competition in Cross-situational Word Learning: A Computational Study


Dec 06, 2020
Aida Nematzadeh, Zahra Shekarchi, Thomas L. Griffiths, Suzanne Stevenson

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* 38 pages, 4 figures, 2 tables 
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Investigating representations of verb bias in neural language models


Oct 15, 2020
Robert D. Hawkins, Takateru Yamakoshi, Thomas L. Griffiths, Adele E. Goldberg

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* Accepted to EMNLP 
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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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Learning Rewards from Linguistic Feedback


Sep 30, 2020
Theodore R. Sumers, Mark K. Ho, Robert D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths

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* 9 pages, 4 figures 
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Understanding Human Intelligence through Human Limitations


Sep 29, 2020
Thomas L. Griffiths

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* In press at Trends in Cognitive Sciences 
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Resource-rational Task Decomposition to Minimize Planning Costs


Jul 27, 2020
Carlos G. Correa, Mark K. Ho, Fred Callaway, Thomas L. Griffiths

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* The first two authors contributed equally. To appear in Proceedings of the 42nd Annual Conference of the Cognitive Science Society (CogSci 2020) 
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End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior


Jul 17, 2020
Pulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths

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* 7 pages, 4 figures, 2 tables. Accepted as a paper to the 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020) 
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Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions


Jul 05, 2020
Michael Chang, Sidhant Kaushik, S. Matthew Weinberg, Thomas L. Griffiths, Sergey Levine

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* 17 pages, 12 figures, accepted to the International Conference on Machine Learning (ICML) 2020 
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Universal linguistic inductive biases via meta-learning


Jun 29, 2020
R. Thomas McCoy, Erin Grant, Paul Smolensky, Thomas L. Griffiths, Tal Linzen

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* To appear in the Proceedings of the 42nd Annual Conference of the Cognitive Science Society 
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Analogy as Nonparametric Bayesian Inference over Relational Systems


Jun 07, 2020
Ruairidh M. Battleday, Thomas L. Griffiths

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* In Proceedings for the Annual Meeting of the Cognitive Science Society 2020 (CogSci 2020) 
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Extracting low-dimensional psychological representations from convolutional neural networks


May 29, 2020
Aditi Jha, Joshua Peterson, Thomas L. Griffiths

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* Accepted to CogSci 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

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* 13 pg (incl. supplemental materials); included in Proceedings of the 34th AAAI Conference on Artificial Intelligence 
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Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks


Feb 04, 2020
Robert D. Hawkins, Noah D. Goodman, Adele E. Goldberg, Thomas L. Griffiths

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


Oct 16, 2019
Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths

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On the Utility of Learning about Humans for Human-AI Coordination


Oct 13, 2019
Micah Carroll, Rohin Shah, Mark K. Ho, Thomas L. Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca Dragan

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* Published at NeurIPS 2019 
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Human uncertainty makes classification more robust


Aug 19, 2019
Joshua C. Peterson, Ruairidh M. Battleday, Thomas L. Griffiths, Olga Russakovsky

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* In Proceedings of the 2019 IEEE International Conference on Computer Vision (ICCV) 
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The Computational Structure of Unintentional Meaning


Jun 03, 2019
Mark K. Ho, Joanna Korman, Thomas L. Griffiths

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* 7 pages 
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Cognitive Model Priors for Predicting Human Decisions


May 22, 2019
David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell

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* ICML 2019 
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Capturing human categorization of natural images at scale by combining deep networks and cognitive models


Apr 26, 2019
Ruairidh M. Battleday, Joshua C. Peterson, Thomas L. Griffiths

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* 29 pages; 4 figures. arXiv admin note: text overlap with arXiv:1711.04855 
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Predicting human decisions with behavioral theories and machine learning


Apr 15, 2019
Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell, Evan C. Carter, James F. Cavanagh, Ido Erev

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


Feb 25, 2019
Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths

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* Fixed missing reference 
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