Entropy Score

Entropy scores are metrics used to quantify the uncertainty or diversity within data, primarily in the context of generative models and machine learning. Current research focuses on developing computationally efficient methods for estimating these scores, particularly for large datasets and complex models, and applying them in various tasks such as active learning and neural architecture search. These scores are proving valuable for improving model performance, enhancing robustness to noisy data, and enabling more efficient model design and training, impacting fields ranging from image generation to remote sensing.