Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"Shortcut Learning"”.
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REPRESENTATION LEARNING FOR VISUAL TASKS: A STUDY OF ATTENTION AND INFORMATION SELECTION
… methods for improving visual representation learning by optimizing attention mechanisms and information selection strategies within deep learning models. Standard approaches often process images independently and compress them into single global descriptors, limiting performance on tasks …
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Investigating the Use of Artificial Intelligence in Chest Radiography: Efficacy, Bias, and Lessons from the COVID-19 Pandemic
… practice due to these issues. One concern is shortcut learning, where AI models rely on spuriously correlated features with the outcome rather than the underlying. Technical factors such as projection and positioning of the patient on chest radiography can introduce such biases. This thesis …
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Natural Language Foundation Models in Medical Artificial Intelligence
… the past decade, the transformative rise of deep learning, particularly large language models (LLMs), has inspired experts across diverse fields, including healthcare, to think deeply about how artificial intelligence (AI) can revolutionize their fields. In this time, general foundation models, …