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Found 4 papers, 2 papers with code
$\textit{greylock}$: A Python Package for Measuring The Composition of Complex Datasets
However, there exists a richer and potentially more useful set of measures, termed diversity measures, that incorporate elements' frequencies and between-element similarities.
Scaling Monte-Carlo-Based Inference on Antibody and TCR Repertoires
We demonstrate that this new method enables the generation of accurate estimates for 27 models using only three expensive estimates, thereby reducing the computational cost by an order of magnitude.
Detection of Doctored Speech: Towards an End-to-End Parametric Learn-able Filter Approach
The fusion model achieved 62% and 17% relative improvement over traditional handcrafted models and our Sincnet baseline when evaluated on the modern spoofing attacks in ASVspoof 2019.
Impact of Channel Variation on One-Class Learning for Spoof Detection
Our experiments aim to tackle this in two ways: first, by investigating the impact of various codec simulations and their corresponding parameters, namely bit-rate, discontinuous transmission (DTX), and loss, on the performance of the one-class classification-based CM system; second, by testing the efficacy of the various settings of margin-based losses for training and evaluating our CM system on codec simulated data.
