A Data-Based Perspective on Model Reliability
Neural networks can fail to generalize to real world data — particularly on subpopulations that might have been mislabelled, corrupted, or underrepresented during training. In such settings, the set of features that a model relies on, or its feature prior, often determines the model’s ultimate relia...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/153886 |