Kai Jiang

REAF: Remembering Enhancement and Entropy-Based Asymptotic Forgetting for Filter Pruning

2023 · IEEE Transactions on Image Processing

Neurologically, filter pruning is a procedure of forgetting and remembering recovering. Prevailing methods directly forget less important information from an unrobust baseline at first and expect to minimize the performance sacrifice. However, unsaturated base remembering …

Fairness across domains: a unified fairness-aware framework for domain generalization and unsupervised adaptation

2026 · Frontiers in Big Data

Fairness in machine learning remains a critical challenge, particularly in the presence of domain shift. We propose a unified fairness-aware framework for both domain generalization (DG) and unsupervised domain adaptation (UDA), which jointly addresses domain …