Machine Learning Beyond Accuracy: A Features Perspective On Model Generalization
Prompted by its performance on a variety of benchmark tasks, machine learning (ML) is now being applied to tackle real-world problems. Yet, there is growing evidence that benchmark performance does not convey the full picture. Existing ML models turn out to be remarkably brittle: a striking example...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139920 |