Search Results - Giallanza, Tyler

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  1. 1
    Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora

    Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora by Iordan, Marius Cătălin, Giallanza, Tyler, Ellis, Cameron T., Beckage, Nicole M., Cohen, Jonathan D.

    Published in Cognitive science
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  2. 2
    Toward the Emergence of Intelligent Control: Episodic Generalization and Optimization

    Toward the Emergence of Intelligent Control: Episodic Generalization and Optimization by Giallanza, Tyler, Campbell, Declan, Cohen, Jonathan D

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  3. 3
    An integrated model of semantics and control

    An integrated model of semantics and control by Giallanza, Tyler, Campbell, Declan, Cohen, Jonathan D, Rogers, Timothy T

    Published in Psychological review
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  4. 4
    The relational bottleneck as an inductive bias for efficient abstraction

    The relational bottleneck as an inductive bias for efficient abstraction by Webb, Taylor W., Frankland, Steven M., Altabaa, Awni, Segert, Simon, Krishnamurthy, Kamesh, Campbell, Declan, Russin, Jacob, Giallanza, Tyler, O’Reilly, Randall, Lafferty, John, Cohen, Jonathan D.

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  5. 5
    Context Matters: Recovering Human Visual and Semantic Knowledge from Machine Learning Analysis of Large-Scale Text Corpora

    Context Matters: Recovering Human Visual and Semantic Knowledge from Machine Learning Analysis of Large-Scale Text Corpora by Iordan, Marius Catalin, Giallanza, Tyler, Ellis, Cameron T., Beckage, Nicole M., Cohen, Jonathan D.

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  6. 6
    Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams

    Task Value Calculus: Multi-Objective Trade off Analysis Using Multiple-Valued Decision Diagrams by Giallanza, Tyler, Gabrielsen, Erik, Taylor, Michael A., Larson, Eric C., Thornton, Mitchell A.

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  7. 7
    Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction

    Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction by Haque, Ayaan, Reddi, Viraaj, Tyler Giallanza

    Published in arXiv.org
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  8. 8
    Human-Like Geometric Abstraction in Large Pre-trained Neural Networks

    Human-Like Geometric Abstraction in Large Pre-trained Neural Networks by Campbell, Declan, Kumar, Sreejan, Tyler Giallanza, Griffiths, Thomas L, Cohen, Jonathan D

    Published in arXiv.org
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  9. 9
    Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem

    Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem by Campbell, Declan, Rane, Sunayana, Tyler Giallanza, De Sabbata, Nicolò, Ghods, Kia, Joshi, Amogh, Ku, Alexander, Frankland, Steven M, Griffiths, Thomas L, Cohen, Jonathan D, Webb, Taylor W

    Published in arXiv.org
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  10. 10
    The Relational Bottleneck as an Inductive Bias for Efficient Abstraction

    The Relational Bottleneck as an Inductive Bias for Efficient Abstraction by Webb, Taylor W, Frankland, Steven M, Altabaa, Awni, Segert, Simon, Krishnamurthy, Kamesh, Campbell, Declan, Russin, Jacob, Tyler Giallanza, Dulberg, Zack, O'Reilly, Randall, Lafferty, John, Cohen, Jonathan D

    Published in arXiv.org
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  11. 11
    Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora

    Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora by Iordan, Marius Cătălin, Tyler Giallanza, Ellis, Cameron T, Beckage, Nicole M, Cohen, Jonathan D

    Published in arXiv.org
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