Bruno Abrahão

Model Rectification via Unknown Unknowns Extraction from Deployment Samples

2021 · arXiv (Cornell University)

Model deficiency that results from incomplete training data is a form of structural blindness that leads to costly errors, oftentimes with high confidence. During the training of classification tasks, underrepresented class-conditional distributions that a given …