Differential privacy techniques can help prevent overfitting and improve generalization in deep neural networks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Two-phase ML model on P2P loans achieves 77.4% recall for acceptance prediction and 72% recall for defaults, claiming up to 70% default risk reduction.
citing papers explorer
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Preventing overfitting in deep learning using differential privacy
Differential privacy techniques can help prevent overfitting and improve generalization in deep neural networks.
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P2P Loan acceptance and default prediction with Artificial Intelligence
Two-phase ML model on P2P loans achieves 77.4% recall for acceptance prediction and 72% recall for defaults, claiming up to 70% default risk reduction.