Explainable Artificial Intelligence (XAI) has emerged as a crucial research area to address
the interpretability challenges posed by complex machine learning models. In this survey …

Domain Adaptation is the process of alleviating distribution gaps between data from different
domains. In this paper, we show that Domain Adaptation methods using pair-wise …

Domain adaptation techniques have contributed to the success of deep learning.
Leveraging knowledge from an auxiliary source domain for learning in labeled data-scarce …

The inherent dependency of deep learning models on labeled data is a well-known problem
and one of the barriers that slows down the integration of such methods into different fields …