Awareness of uncertainty in classification using a multivariate model and multi-views

arXiv:2404.10314v1 Announce Type: cross
Abstract: One of the ways to make artificial intelligence more natural is to give it some room for doubt. Two main questions should be resolved in that way. First, how to train a model to estimate uncertainties of its own predictions? And then, what to do with the uncertain predictions if they appear? First, we proposed an uncertainty-aware negative log-likelihood loss for the case of N-dimensional multivariate normal distribution with spherical variance matrix to the solution …

abstract artificial artificial intelligence arxiv classification cs.cv cs.lg intelligence multivariate natural predictions questions room train type uncertainty