2 papers
cs.LG2026
UASPL: Uncertainty-Aware Self-Paced Learning with Evidential Neural Networks
Yifan Zhang, Yuxin Hu, Zhuobin Hao +2
Self-paced learning (SPL) is an effective learning paradigm that simulates the human learning process by progressing from easy to difficult samples based on the value of the loss f…
cs.LG2025
Evidential Deep Active Learning for Semi-Supervised Classification
Shenkai Zhao, Xinao Zhang, Lipeng Pan +2
Semi-supervised classification based on active learning has made significant progress, but the existing methods often ignore the uncertainty estimation (or reliability) of the pred…