Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 1 of 1 for “"Interpretable machine learning, explainable machine learning, and faithfulness"”.

  1. Efficient and Faithful Algorithms for Interpretable Machine Learning

    As deep learning models continue to grow in complexity and scale, the demand for interpretable machine learning (ML) methods becomes increasingly critical across a wide range of applications. This thesis addresses the challenges of interpreting deep neural networks (DNNs) by designing efficient and

    rice Repository record for Efficient and Faithful Algorithms for Interpretable Machine Learning (opens in a new tab)