Meta-Reweighted Regularization for Unsupervised Domain Adaptation

Computer Science

• Regularization 100%
• Unsupervised Domain Adaptation 100%
• Classifier 66%
• Optimization Problem 33%
• Art Performance 33%
• Optimisation Objective 33%
• Classification Error 33%
• Training Model 33%
• Knowledge Transfer 33%
• Negative Effect 33%
• Approximation Technique 33%
• Invariant Domain 33%
• Decision Boundary 33%
• Algorithm Selection 33%
• Validation Set 33%