核心概念
LEAD proposes feature decomposition for effective domain adaptation without source data.
統計資料
"LEAD outperforms GLC by 3.5% overall H-score and reduces 75% time to derive pseudo-labeling decision boundaries."
引述
"LEAD outperforms GLC by 3.5% overall H-score and reduces 75% time to derive pseudo-labeling decision boundaries."