SOTAVerified

Multi-Source Unsupervised Domain Adaptation

Papers

Showing 125 of 46 papers

TitleStatusHype
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesCode2
Multi-source Attention for Unsupervised Domain AdaptationCode1
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object DetectionCode1
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object DetectionCode1
Enhancing Domain Adaptation through Prompt Gradient AlignmentCode1
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge DistillationCode1
Wasserstein Barycenter for Multi-Source Domain AdaptationCode1
Learning to Combine: Knowledge Aggregation for Multi-Source Domain AdaptationCode1
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher LearningCode1
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherCode1
Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode1
STEM: An Approach to Multi-Source Domain Adaptation With GuaranteesCode0
Learning Transferable Features with Deep Adaptation NetworksCode0
FACT: Federated Adversarial Cross TrainingCode0
Multi-Prompt Alignment for Multi-Source Unsupervised Domain AdaptationCode0
Multi-source Distilling Domain AdaptationCode0
Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman ProcessCode0
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein SpaceCode0
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category ShiftCode0
Moment Matching for Multi-Source Domain AdaptationCode0
Distributionally Robust Learning for Multi-source Unsupervised Domain AdaptationCode0
Improving Transferability of Domain Adaptation Networks Through Domain Alignment LayersCode0
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention RecognitionCode0
Secure Domain Adaptation with Multiple SourcesCode0
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation0
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