Abstract: Knowledge distillation is an effective method for enhancing the performance of small neural networks. Existing distillation methods mainly involve extracting deep features from intermediate ...
The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Background Drug exposure has been reported in association with Takotsubo syndrome, but the breadth and relative strength of ...
Abstract: This PhD Symposium Paper explores deep-learning based sequential modeling methods for textual data by investigating two applications: network security log analysis and financial forecasting.
Background Layoffs may affect the health of those who lose their jobs as well as those who remain employed. Existing studies ...
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