There has been increasing interest in developing multi-label classification methods for E-MLC [17,19,18,13,7,28,15,4,24].

We aim for source-free domain adaptation, where the task is to deploy a model pre-trained on source domains to target domains. The challenges stem from the distribution shift from the source to the target domain, coupled with the unavailability of any source data and labeled target data for optimization.