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Found 3 papers, 2 papers with code
Functional Network: A Novel Framework for Interpretability of Deep Neural Networks
Inspired by the success of functional brain networks, we propose a novel framework for interpretability of deep neural networks, that is, the functional network.
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
In order to verify performance in a real clinical setting, we silently deployed a preliminary version of the deep neural network at New York University Langone Health during the first wave of the pandemic, which produced accurate predictions in real-time.
Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function
Finally, we introduce a combination of data augmentation and our approach, and show that it outperforms existing strategies in all bias evaluation metrics.
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