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Found 3 papers, 3 papers with code
Patient Dropout Prediction in Virtual Health: A Multimodal Dynamic Knowledge Graph and Text Mining Approach
In virtual health, the information asymmetries inherent in its delivery format, between different stakeholders, and across different healthcare delivery systems hinder the performance of existing predictive methods.
Single Image Super-Resolution via a Holistic Attention Network
Informative features play a crucial role in the single image super-resolution task.
Ranked #2 on
Image Super-Resolution
on Urban100 - 8x upscaling
Input Perturbation: A New Paradigm between Central and Local Differential Privacy
By adding noise to the original training data and training with the `perturbed data', we achieve ($\epsilon$,$\delta$)-differential privacy on the final model, along with some kind of privacy on the original data.
