Tom Griffiths - researchr alias

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Viewing Publication 1 - 65 from 65

2022

Distinguishing rule and exemplar-based generalization in learning systemsIshita Dasgupta, Erin Grant, Tom Griffiths. icml 2022: 4816-4830 [doi]

2021

Modularity in Reinforcement Learning via Algorithmic Independence in Credit AssignmentMichael Chang 0003, Sidhant Kaushik, Sergey Levine, Tom Griffiths. icml 2021: 1452-1462 [doi]

2020

Decentralized Reinforcement Learning: Global Decision-Making via Local Economic TransactionsMichael Chang 0003, Sidhant Kaushik, S. Matthew Weinberg, Tom Griffiths, Sergey Levine. icml 2020: 1437-1447 [doi]

Analogy as Nonparametric Bayesian Inference over Relational SystemsRuairidh M. Battleday, Tom Griffiths. cogsci 2020: [doi]

Optimal nudgingFrederick Callaway, Mathew Hardy, Tom Griffiths. cogsci 2020: [doi]

Resource-rational Task Decomposition to Minimize Planning CostsCarlos G. Correa, Mark K. Ho, Frederick Callaway, Tom Griffiths. cogsci 2020: [doi]

Population-level amplification of perceptual biasMathew Hardy, Bill Thompson, Peter M. Krafft, Tom Griffiths. cogsci 2020: [doi]

Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networksRobert X. D. Hawkins, Noah D. Goodman, Adele E. Goldberg, Tom Griffiths. cogsci 2020: [doi]

Investigating the Behavior of Malicious Actors Through the Game of MafiaSamee Ibraheem, Vael Gates, John DeNero, Tom Griffiths. cogsci 2020: [doi]

A rational model of sequential self-assessmentRachel Jansen, Anna N. Rafferty, Tom Griffiths. cogsci 2020: [doi]

Extracting low-dimensional psychological representations from convolutional neural networksAditi Jha, Joshua C. Peterson, Tom Griffiths. cogsci 2020: [doi]

Downloading Culture.zip: Social learning by program inductionMax Kleiman-Weiner, Felix Sosa, Bill Thompson, Sebastiaan van Opheusden, Tom Griffiths, Samuel Gershman, Fiery Cushman. cogsci 2020: [doi]

Universal linguistic inductive biases via meta-learningRichard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen. cogsci 2020: [doi]

End-to-end Deep Prototype and Exemplar Models for Predicting Human BehaviorPulkit Singh, Joshua C. Peterson, Ruairidh M. Battleday, Tom Griffiths. cogsci 2020: [doi]

Workshop on Scaling Cognitive ScienceJordan W. Suchow, Tom Griffiths, Joshua K. Hartshorne. cogsci 2020: [doi]

Show or Tell? Demonstration is More Robust to Changes in Shared Perception than ExplanationTheodore R. Sumers, Mark K. Ho, Tom Griffiths. cogsci 2020: [doi]

The method of loci is an optimal policy for memory searchQiong Zhang, Kenneth A. Norman, Tom Griffiths. cogsci 2020: [doi]

2019

Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral ReasoningMayank Agrawal, Joshua C. Peterson, Tom Griffiths. cogsci 2019: 1318-1323 [doi]

On the Utility of Learning about Humans for Human-AI CoordinationMicah Carroll, Rohin Shah, Mark K. Ho, Tom Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan. nips 2019: 5175-5186 [doi]

Compositional subgoal representationsCarlos Correa, Frederick Callaway, Mark K. Ho, Tom Griffiths. cogsci 2019: 3255 [doi]

If it's important, then I am curious: A value intervention to induce curiosityRachit Dubey, Tom Griffiths, Tania Lombrozo. cogsci 2019: 282-288 [doi]

Human-level but not human-like: Deep Reinforcement Learning in the darkRachit Dubey, Pulkit Agrawal, Deepak Pathak, Alyosha A. Efros, Tom Griffiths. cogsci 2019: 3265 [doi]

Learning deep taxonomic priors for concept learning from few positive examplesErin Grant, Joshua C. Peterson, Tom Griffiths. cogsci 2019: 1865-1870 [doi]

Demonstrating the Impact of Prior Knowledge in Risky ChoiceMathew Hardy, Tom Griffiths. cogsci 2019: 3278 [doi]

The Computational Structure of Unintentional MeaningMark K. Ho, Joanna Korman, Tom Griffiths. cogsci 2019: 1915-1921 [doi]

Reconciling meta-learning and continual learning with online mixtures of tasksGhassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller. nips 2019: 9119-9130 [doi]

Automated cognitive modeling with Bayesian active model selectionVishal Lall, Jordan W. Suchow, Gustavo Malkomes, Tom Griffiths. cogsci 2019: 3503 [doi]

Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproductionThomas Langlois, Nori Jacoby, Jordan W. Suchow, Tom Griffiths. cogsci 2019: 2078-2083 [doi]

Extending RationalityEmmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah Goodman, Michael Henry Tessler, Tom Griffiths, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin. cogsci 2019: 39-40 [doi]

Modeling students' fraction arithmetic strategies using inverse planningAnna N. Rafferty, Rachel Jansen, Tom Griffiths. cogsci 2019: 3554 [doi]

Inductive Biases Constrain Cumulative Cultural EvolutionBill Thompson, Tom Griffiths. cogsci 2019: 1111-1117 [doi]

2018

Recommendation as Generalization: Evaluating Cognitive Models In the WildDavid Bourgin, Joshua T. Abbott, Tom Griffiths. cogsci 2018: [doi]

A resource-rational analysis of human planningFrederick Callaway, Falk Lieder, Priyam Das, Sayan Gul, Paul M. Krueger, Tom Griffiths. cogsci 2018: [doi]

Investigating Human Priors for Playing Video GamesRachit Dubey, Pulkit Agrawal, Deepak Pathak, Tom Griffiths, Alexei A. Efros. icml 2018: 1348-1356 [doi]

A new similarity measure to reveal individual differences and growth in implicit number conceptionsRachel Jansen, Ruthe Foushee, Tom Griffiths. cogsci 2018: [doi]

Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-AssessmentRachel Jansen, Anna N. Rafferty, Tom Griffiths. cogsci 2018: [doi]

Levels of Analysis in Computational Social SciencePeter Krafft, Tom Griffiths. cogsci 2018: [doi]

Shaping Model-Free Habits with Model-Based GoalsPaul M. Krueger, Tom Griffiths. cogsci 2018: [doi]

Evaluating Theory of Mind in Question AnsweringAida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Tom Griffiths. emnlp 2018: 2392-2400 [doi]

Interpersonal Coordination of Perception and Memory in Real-Time Online Social InteractionAlexandra Paxton, Thomas J. H. Morgan, Jordan W. Suchow, Tom Griffiths. cogsci 2018: [doi]

Capturing human category representations by sampling in deep feature spacesJoshua C. Peterson, Jordan W. Suchow, Krisha Aghi, Alexander Y. Ku, Tom Griffiths. cogsci 2018: [doi]

Capturing Human Category Representations by Sampling in Deep Feature SpacesJoshua C. Peterson, Krisha Aghi, Jordan W. Suchow, Alexander Y. Ku, Tom Griffiths. iclr 2018: [doi]

Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic LabelsJoshua C. Peterson, Paul Soulos, Aida Nematzadeh, Tom Griffiths. cogsci 2018: [doi]

Representational efficiency outweighs action efficiency in human program inductionSophia Sanborn, David Bourgin, Michael Chang 0003, Tom Griffiths. cogsci 2018: [doi]

Learning a face space for experiments on human identityJordan W. Suchow, Joshua C. Peterson, Tom Griffiths. cogsci 2018: [doi]

2017

A graph-theoretic approach to multitaskingNoga Alon, Daniel Reichman 0001, Igor Shinkar, Tal Wagner, Sebastian Musslick, Jonathan D. Cohen, Tom Griffiths, Biswadip Dey, Kayhan Özcimder. nips 2017: 2097-2106 [doi]

Modeling human categorization of natural images using deep feature representationsRuairidh M. Battleday, Joshua C. Peterson, Tom Griffiths. cogsci 2017: [doi]

The Structure of Goal Systems Predicts Human PerformanceDavid Bourgin, Falk Lieder, Daniel Reichman 0001, Nimrod Talmon, Tom Griffiths. cogsci 2017: [doi]

Discovering simple heuristics from mental simulationFrederick Callaway, Jessica B. Hamrick, Tom Griffiths. cogsci 2017: [doi]

Evaluating vector-space models of analogyDawn Chen, Joshua C. Peterson, Tom Griffiths. cogsci 2017: [doi]

A rational analysis of curiosityRachit Dubey, Tom Griffiths. cogsci 2017: [doi]

Exploring inductive bias of visual scenesJessica B. Hamrick, David Bourgin, Thomas Langlois, Tom Griffiths. cogsci 2017: [doi]

Algebra is not like trivia: Evaluating self-assessment in an online math tutorRachel Jansen, Anna N. Rafferty, Tom Griffiths. cogsci 2017: [doi]

Enhancing metacognitive reinforcement learning using reward structures and feedbackPaul M. Krueger, Falk Lieder, Tom Griffiths. cogsci 2017: [doi]

An automatic method for discovering rational heuristics for risky choiceFalk Lieder, Paul M. Krueger, Tom Griffiths. cogsci 2017: [doi]

Inferring Intentional Agents From Violation of RandomnessYuan Meng, Tom Griffiths, Fei Xu. cogsci 2017: [doi]

2016

2007

A fully Bayesian approach to unsupervised part-of-speech taggingSharon Goldwater, Tom Griffiths. acl 2007: [doi]

2005

Interpolating between types and tokens by estimating power-law generatorsSharon Goldwater, Tom Griffiths, Mark Johnson. nips 2005: 459-466 [doi]

Infinite latent feature models and the Indian buffet processTom Griffiths, Zoubin Ghahramani. nips 2005: 475-482 [doi]

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