2026
On the Calibration of Image Semi-Supervised Learning Models
AAAI 2026technical
Semi-supervised learning (SSL) has demonstrated high performance in image classification tasks by effectively utilizing both labeled and unlabeled data. However, existing SSL methods often suffer from poor calibration, with models yielding overconfident predictions that misrepresent actual predictio