Global ETD Search
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Showing 1 to 3 of 3 for “"Subpopulation Shift"”.
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TOWARDS RELIABLE AI UNDER DISTRIBUTION SHIFTS: A DATA-CENTRIC PERSPECTIVE
… when processing inputs under distribution shifts. This thesis systematically studies the robustness to distribution shifts for ML models from a data-centric perspective. First, we closely examine the effect of low-quality data on model generalization. We theoretically show that when …
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Learning Through the Lens of Robustness
… robustness along a variety of axes, such as subpopulation shift and concept transformations. On the other hand, we explore ways to improve the reliability of our models during deployment. To this end, we study how we can bias the features that a model learns towards features that generalize …
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On the study of various methods for domain generalization and inverse problems
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms