Candidate data points selection system for labeling unlabeled data points

Abstract

A method for candidate data points selection for labeling unlabeled data points is provided. The method may include inputting a first data point to an auditable neural network. The method may include predicting, using the network, a label for the first data point. The method may include deconstructing, based on a simplicial structure, the first data point into a plurality of component parts of the first data point. The method may include reconstructing, the first data point into a reconstructed first data point, based on the simplicial structure, using the plurality of component parts and the label. The method may include generating a reconstruction error value based on a reconstruction error algorithm that compares the first data point to the reconstructed first data point. The method may include quarantining the first data point within the auditable neural network when the reconstruction error value is above a threshold reconstruction error value.