Label Quality Model

What is Label Quality Model? Label Quality Model is a technique used to predict clean labels from noisy labels. This technique relies on the presence of rater features and a subset of training data with both clean and noisy labels, which is known as a paired-subset. In real-life scenarios, it is sometimes difficult to avoid some level of label noise. LQM works as long as the clean label is less noisy than a randomly selected label from the pool. Clean labels can come from expert raters or from