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cs.LG2024
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Thai-Hoang Pham, Yuanlong Wang, Changchang Yin +2
Domain adaptation (DA) tackles the issue of distribution shift by learning a model from a source domain that generalizes to a target domain. However, most existing DA methods are d…
cs.LG2024
Non-stationary Domain Generalization: Theory and Algorithm
Thai-Hoang Pham, Xueru Zhang, Ping Zhang
Although recent advances in machine learning have shown its success to learn from independent and identically distributed (IID) data, it is vulnerable to out-of-distribution (OOD)…