Linda Wildling

Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion

"Data lies at the core of modern deep learning. The impressive performance of supervised learning is built upon a base of massive accurately labeled data. However, in some real-world applications, accurate labeling might not be viable; instead, multiple noisy labels (instead of one accurate label) a…