Search Results - Gilpin, Leilani H.

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  1. 1
    The anticipatory paradigm

    The anticipatory paradigm by Amos‐Binks, Adam, Dannenhauer, Dustin, Gilpin, Leilani H.

    Published in The AI magazine
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  2. 2
    Reports of the AAAI 2019 Spring Symposium Series

    Reports of the AAAI 2019 Spring Symposium Series by Baldini, Ioana, Barrett, Clark, Chella, Antonio, Cinelli, Carlos, Gamez, David, Gilpin, Leilani H., Hinkelmann, Knut, Holmes, Dylan, Kido, Takashi, Kocaoglu, Murat, Lawless, William F., Lomuscio, Alessio, Macbeth, Jamie C., Martin, Andreas, Mittu, Ranjeev, Patterson, Evan, Sofge, Donald, Tadepalli, Prasad, Takadama, Keiki, Wilson, Shomir

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  3. 3
    Accountability Layers: Explaining Complex System Failures by Parts

    Accountability Layers: Explaining Complex System Failures by Parts by Gilpin, Leilani H.

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  4. 4
    Reasonableness Monitors

    Reasonableness Monitors by Gilpin, Leilani

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  5. 5
    Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification

    Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and Classification by Subramanian, Sharan, Gilpin, Leilani H

    Published in arXiv.org
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  6. 6
    Towards a fuller understanding of neurons with Clustered Compositional Explanations

    Towards a fuller understanding of neurons with Clustered Compositional Explanations by Biagio La Rosa, Gilpin, Leilani H, Capobianco, Roberto

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  7. 7
    Anticipatory Thinking Challenges in Open Worlds: Risk Management

    Anticipatory Thinking Challenges in Open Worlds: Risk Management by Amos-Binks, Adam, Dannenhauer, Dustin, Gilpin, Leilani H

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  8. 8
    Slug Mobile: Test-Bench for RL Testing

    Slug Mobile: Test-Bench for RL Testing by Jonathan Wellington Morris, Shah, Vishrut, Besanceney, Alex, Shah, Daksh, Gilpin, Leilani H

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  9. 9
    Right this way: Can VLMs Guide Us to See More to Answer Questions?

    Right this way: Can VLMs Guide Us to See More to Answer Questions? by Liu, Li, Yang, Diji, Zhong, Sijia, Kalyana Suma Sree Tholeti, Ding, Lei, Zhang, Yi, Gilpin, Leilani H

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  10. 10
    Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

    Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations by Huang, Shiyuan, Mamidanna, Siddarth, Jangam, Shreedhar, Zhou, Yilun, Gilpin, Leilani H

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  11. 11
    "Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI

    "Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI by Gilpin, Leilani H, Paley, Andrew R, Alam, Mohammed A, Spurlock, Sarah, Hammond, Kristian J

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  12. 12
    Explaining Explanations to Society

    Explaining Explanations to Society by Gilpin, Leilani H, Testart, Cecilia, Fruchter, Nathaniel, Adebayo, Julius

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  13. 13
    Explaining Explanations: An Overview of Interpretability of Machine Learning

    Explaining Explanations: An Overview of Interpretability of Machine Learning by Gilpin, Leilani H, Bau, David, Yuan, Ben Z, Bajwa, Ayesha, Specter, Michael, Kagal, Lalana

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