Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations von Plumb, Gregory, Clark, Lindsay, Johnson, Sterling C., Singh, Vikas

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Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms von Johnson, Nari, Cabrera, Ángel Alexander, Plumb, Gregory, Talwalkar, Ameet

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A scale for comparing the visual magnitude of waterfalls von Plumb, Gregory A.

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Finding and Fixing Spurious Patterns with Explanations von Plumb, Gregory, Ribeiro, Marco Tulio, Talwalkar, Ameet

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Sanity Simulations for Saliency Methods von Kim, Joon Sik, Plumb, Gregory, Talwalkar, Ameet

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Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models von Plumb, Gregory, Johnson, Nari, Cabrera, Ángel Alexander, Talwalkar, Ameet

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Use-Case-Grounded Simulations for Explanation Evaluation von Chen, Valerie, Johnson, Nari, Topin, Nicholay, Plumb, Gregory, Talwalkar, Ameet

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Knowledge-based digital mapping of vegetation types in Big Bend National park, Texas von Plumb, Gregory A.

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Compression of continuous spatial data in the raster digital format von Plumb, Gregory A

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A Learning Theoretic Perspective on Local Explainability von Li, Jeffrey, Nagarajan, Vaishnavh, Plumb, Gregory, Talwalkar, Ameet

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Finding and Fixing Spurious Patterns with Explanations von Plumb, Gregory, Ribeiro, Marco Tulio, Talwalkar, Ameet

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Model Agnostic Supervised Local Explanations von Plumb, Gregory, Molitor, Denali, Talwalkar, Ameet

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Explaining Groups of Points in Low-Dimensional Representations von Plumb, Gregory, Terhorst, Jonathan, Sankararaman, Sriram, Talwalkar, Ameet

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Sanity Simulations for Saliency Methods von Kim, Joon Sik, Plumb, Gregory, Talwalkar, Ameet

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Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models von Plumb, Gregory, Johnson, Nari, Cabrera, Ángel Alexander, Talwalkar, Ameet

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Interpretable Machine Learning: Moving From Mythos to Diagnostics von Chen, Valerie, Li, Jeffrey, Kim, Joon Sik, Plumb, Gregory, Talwalkar, Ameet

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Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version) von Plumb, Gregory, Al-Shedivat, Maruan, Xing, Eric, Talwalkar, Ameet

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Use-Case-Grounded Simulations for Explanation Evaluation von Chen, Valerie, Johnson, Nari, Topin, Nicholay, Plumb, Gregory, Talwalkar, Ameet

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Regularizing Black-box Models for Improved Interpretability von Plumb, Gregory, Al-Shedivat, Maruan, Cabrera, Angel Alexander, Perer, Adam, Xing, Eric, Talwalkar, Ameet

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A Learning Theoretic Perspective on Local Explainability von Li, Jeffrey, Nagarajan, Vaishnavh, Plumb, Gregory, Talwalkar, Ameet

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