Therefore, source domain application with sufficient labeled data cannot be directly utilized for training the target domain classifier. Domain Adaptation (DA) or Transfer learning (TL) provides a way ...

The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples ... In this paper, we propose a new idea of LEArning Decomposition (LEAD), ...

and propose a Deep Unsupervised Progressive Learning (DUPL) method to transfer pretrained deep representations to unseen domains. Specifically, our work performs clustering and fine-tuning of the CNN ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...