Results for "labels"

4 results

Self-Supervised Learning Intermediate

Learning from data by constructing “pseudo-labels” (e.g., next-token prediction, masked modeling) without manual annotation.

Machine Learning
Bias Intermediate

Systematic differences in model outcomes across groups; arises from data, labels, and deployment context.

Foundations & Theory
Segmentation Intermediate

Assigning labels per pixel (semantic) or per instance (instance segmentation) to map object boundaries.

Computer Vision
Image Classification Intermediate

Assigning category labels to images.

Computer Vision