New research reveals that infants can use even a few labeled examples to spark the acquisition of object categories. Those labeled examples lead infants to initiate the process of categorization, ...

Labeling content as AI-generated does not make it less persuasive than human-authored or unlabeled content, according to a ...

A positive and unlabeled learning (PUL) problem occurs when a machine learning set of training data has only a few positive labeled items and many unlabeled items. PUL problems often occur with ...

Dr. James McCaffrey of Microsoft Research provides a code-driven tutorial on PUL problems, which often occur with security or medical data in cases like training a machine learning model to predict if ...