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Found 4 papers, 2 papers with code
Conformalised data synthesis with statistical quality guarantees
With the proliferation of ever more complicated Deep Learning architectures, data synthesis is a highly promising technique to address the demand of data-hungry models.
A novel Deep Learning approach for one-step Conformal Prediction approximation
We carry out a comprehensive empirical evaluation to show our novel loss function's competitiveness for seven binary and multi-class prediction tasks on five benchmark datasets.
Audio feature ranking for sound-based COVID-19 patient detection
Audio classification using breath and cough samples has recently emerged as a low-cost, non-invasive, and accessible COVID-19 screening method.
Deep Learning Application in Security and Privacy -- Theory and Practice: A Position Paper
Finally, we conclude the paper with a discussion on what steps the DL and the security and privacy-preservation community have to take to ensure that DL is not just going to be hype, but an opportunity to build a secure, reliable, and trusted technology infrastructure on which we can rely on for so much in our lives.
