RANDOL: Robust (Adversarial perturbation, Noisy label, Domain shift, Open set) Learning
Summary
Advances open-set domain generalization using Evidential Bi-Level Hardness Domain Scheduler. Proposes EBL-HADS to dynamically adjust order of domain presentation during meta-training and testing. Also addresses noisy label setting with RFM-Meta method and adversarial defense through robustness integration.
Themes
Keywords
domain generalization, adversarial defense, noisy labels, open set, robust learning