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Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
As a result, more studies have been focusing on hybrid classical-quantum integration.
Shadow: A Novel Loss Function for Efficient Training in Siamese Networks
Its effectiveness and robustness across balanced, imbalanced, medical, and non-medical image datasets suggests that it is not specific to a particular model or dataset but demonstrates superior performance consistently while using less memory and computation.
Preserving the knowledge of long clinical texts using aggregated ensembles of large language models
The results and analysis of this study is supportive of our method assisting in clinical healthcare systems by enabling clinical decision-making with robust performance overcoming the challenges of long text inputs and varied datasets.
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