Universal Domain Adaptation
25 papers with code • 4 benchmarks • 5 datasets
Libraries
Use these libraries to find Universal Domain Adaptation models and implementationsMost implemented papers
Universal Domain Adaptation from Foundation Models: A Baseline Study
We hope that our investigation and the proposed simple framework can serve as a strong baseline to facilitate future studies in this field.
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
When deploying machine learning systems to the wild, it is highly desirable for them to effectively leverage prior knowledge to the unfamiliar domain while also firing alarms to anomalous inputs.
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
Universal domain adaptation (UniDA) is a practical but challenging problem, in which information about the relation between the source and the target domains is not given for knowledge transfer.
COMET: Contrastive Mean Teacher for Online Source-Free Universal Domain Adaptation
In real-world applications, there is often a domain shift from training to test data.