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Found 3 papers, 1 papers with code
Selecting informative conformal prediction sets with false coverage rate control
We consider here the case where such prediction sets come after a selection process.
A statistical framework for efficient out of distribution detection in deep neural networks
Our method achieves comparable or better results than state-of-the-art methods on well-accepted OOD benchmarks, without retraining the network parameters or assuming prior knowledge on the test distribution -- and at a fraction of the computational cost.
Testing for differential abundance in compositional counts data, with application to microbiome studies
The data is typically sparse, with zero counts present either due to biological variance or limited sequencing depth (technical zeros).
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