An Analysis of Neural Rationale Models andInfluence Functions for Interpretable MachineLearning
In recent years, increasingly powerful machine learning models have shown remarkable performance on a wide variety of tasks and thus their use is becoming more and more prevalent, including deployment in high stakes settings such as for medical and legal applications. Because these models are comple...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151413 |