IEEE

Imbalanced Data Robust Online Continual Learning Based on Evolving Class Aware Memory Selection and Built-In Contrastive Representation Learning

Abstract: We introduce Memory Selection with Contrastive Learning (MSCL), an advanced Continual Learning (CL) approach, addressing challenges in dynamic and imbalanced environments. MSCL combines ...
IEEE

A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...