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Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations.

, , and . IJCAI, page 2662-2670. ijcai.org, (2017)

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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning., , , , , , , , and . AMIA, AMIA, (2018)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). (2019)cite arxiv:1906.05433Comment: For additional resources, please visit the website that accompanies this paper: https://www.climatechange.ai/.Tackling Climate Change with Machine Learning., , , , , , , , , and 12 other author(s). CoRR, (2019)Tackling Climate Change with Machine Learning., , , , , , , , , and 12 other author(s). ACM Comput. Surv., 55 (2): 42:1-42:96 (2023)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning., , , , , , , , and . CoRR, (2019)Ensembles of Locally Independent Prediction Models., , , and . CoRR, (2019)Training Machine Learning Models by Regularizing their Explanations.. CoRR, (2018)GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data., , , , , , , , , and 3 other author(s). J. Open Source Softw., 7 (69): 3947 (2022)Evaluating the Interpretability of Generative Models by Interactive Reconstruction., , , , and . CHI, page 80:1-80:15. ACM, (2021)