Domain Adaptation
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
·1711 words·9 mins·
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AI Generated
Machine Learning
Domain Adaptation
🏢 Sharif University of Technology
This paper introduces DRODA, a novel method guaranteeing bounded error in gradual domain adaptation by leveraging manifold constraints and adaptive Wasserstein radii.
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions
·2633 words·13 mins·
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Machine Learning
Domain Adaptation
🏢 University of Michigan
CONTRAST efficiently adapts multiple source models to dynamic data distributions by optimally weighting models and selectively updating only the most relevant ones, achieving robust performance withou…