Nature

Comparative analysis of supervised and self-supervised learning with small and imbalanced medical imaging datasets

Self-supervised learning (SSL) in computer vision has shown its potential to reduce reliance on labeled data. However, most studies focused on balanced, large, broad-domain datasets like ImageNet, ...
Nature

Uncertainty-weighted semi-supervised learning with dynamic entropy masking and Bhattacharyya-regularized loss

Semi-supervised learning (SSL) leverages labeled and unlabeled data for modern classification tasks. However, existing SSL approaches often underutilize moderately uncertain samples and may propagate ...