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Humans decompose tasks by trading off utility and computational cost


Nov 07, 2022
Carlos G. Correa, Mark K. Ho, Frederick Callaway, Nathaniel D. Daw, Thomas L. Griffiths

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On the Informativeness of Supervision Signals


Nov 02, 2022
Ilia Sucholutsky, Raja Marjieh, Nori Jacoby, Thomas L. Griffiths

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Analyzing Diffusion as Serial Reproduction


Sep 29, 2022
Raja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths

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* 10 pages, 4 figures 

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Bias amplification in experimental social networks is reduced by resampling


Aug 15, 2022
Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths

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Gaussian process surrogate models for neural networks


Aug 11, 2022
Michael Y. Li, Erin Grant, Thomas L. Griffiths

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Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation


Jul 02, 2022
Michael Chang, Thomas L. Griffiths, Sergey Levine

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* 15 pages, 10 figures, Oral Presentation at the ICLR 2022 Workshop on Elements of Reasoning: Objects, Structure, and Causality 

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Words are all you need? Capturing human sensory similarity with textual descriptors


Jun 15, 2022
Raja Marjieh, Pol van Rijn, Ilia Sucholutsky, Theodore R. Sumers, Harin Lee, Thomas L. Griffiths, Nori Jacoby

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* Fixed fonts in Figure 1 

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Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines


May 23, 2022
Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths

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Linguistic communication as (inverse) reward design


Apr 11, 2022
Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell

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* 6 pages, 3 figures. Accepted at Learning from Natural Language Supervision workshop (ACL 2022) 

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