Aug 2026
Intrinsic logit-based debiasing for class-imbalanced semi-supervised learning.
Intrinsic Logit-Based Debiasing (ILBD), a robust post-hoc framework that estimates bias directly from task-relevant data without external dependencies and class priors, and effectively rectifies the classifier's bias directly from the inherent statistical patterns of the training data.
Qianying Tang, Yue Cheng, Xiaoyu Guo et al.
· Neural Networks · 0 citations