Bayes classifier
PulseAugur coverage of Bayes classifier — every cluster mentioning Bayes classifier across labs, papers, and developer communities, ranked by signal.
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New research quantifies tradeoff between classifier robustness and accuracy
This paper rigorously demonstrates an optimal quantitative estimate for adversarial classifiers in non-parametric binary classification. It proves that robust classifiers, when controlling geometric accuracy measured by…
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New Theory Explains Saliency Map Sparsity in Adversarial Neural Networks
Researchers have developed a theoretical explanation for the observed sparsity in saliency maps of adversarially-trained neural networks. This phenomenon, particularly in two-layer ReLU networks, is linked to the minimi…
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New metrics proposed for imbalanced classification problems
A new research paper introduces robust modifications to common performance metrics used in imbalanced classification problems. The authors demonstrate that existing metrics like Matthews' correlation coefficient (MCC) a…