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Found 2 papers, 1 papers with code
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds
In this paper, we propose a novel domain-adversarial multi-task framework for integrating shared knowledge from multiple domains.
Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout
The insights attained here could potentially be applied as a general approach for boosting the accuracy of other CNN models with similar nonlinear connections.
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