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Jul, 2023
深度学习架构中特征归因的协调:增强可解释性和一致性
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency
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Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag
TL;DR
本研究旨在检验特征归因法在不同深度学习架构模型间的泛化能力,以及探索归一化的特征解释方法在提高机器学习应用的可解释性和信任度方面的潜力。
Abstract
Ensuring the
trustworthiness
and
interpretability
of
machine learning
models is critical to their deployment in real-world applications. <
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