Towards data-efficient deep learning with meta-learning and symmetries
<p>Recent advances in deep learning have been significantly propelled by the increasing availability of data and computational resources. While the abundance of data enables models to perform well in certain domains, there are real-world applications, such as in the medical field, where the da...
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| Format: | Thesis |
| Language: | English |
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2023
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