Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution

ArXi:2512.01152v4 Announce Type: replace-cross As we deploy machine learning systems in the real world, a core challenge is to maintain a model that is performant even as the data shifts. Such shifts can take many forms: new classes may emerge that were absent during