2025
Unsupervised Domain Adaptation Via Data Pruning
ICASSP 2025accepted
The removal of carefully-selected examples from training data has recently emerged as an effective way of improving the robustness of machine learning models. However, the best way to select these examples remains an open question. In this paper, we consider the problem from the perspective of unsup…