Exploring Text-Guided Synthetic Distribution Shifts for Robust Image Classification
The empirical risk minimization approach of contemporary machine learning leads to potential failures under distribution shifts. While out-of-distribution data can be used to probe for robustness issues, collecting this at scale in the wild can be difficult given its nature. We propose a novel metho...
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Main Authors: | , , |
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Format: | text |
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Archīum Ateneo
2023
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Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/380 https://doi.org/10.1007/978-3-031-41630-9_16 |
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Institution: | Ateneo De Manila University |