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Multi-Source Unsupervised Domain Adaptation

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Showing 1–25 of 46 papers

TitleStatusHype
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesCode2
Enhancing Domain Adaptation through Prompt Gradient AlignmentCode1
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherCode1
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
Wasserstein Barycenter for Multi-Source Domain AdaptationCode1
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher LearningCode1
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge DistillationCode1
Learning to Combine: Knowledge Aggregation for Multi-Source Domain AdaptationCode1
Multi-source Attention for Unsupervised Domain AdaptationCode1
Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode1
Robust Indoor Localization in Dynamic Environments: A Multi-source Unsupervised Domain Adaptation Framework—0
Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation—0
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation—0
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis—0
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling—0
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention RecognitionCode0
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation—0
Distributionally Robust Learning for Multi-source Unsupervised Domain AdaptationCode0
Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman ProcessCode0
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein SpaceCode0
Dynamic Domain Discrepancy Adjustment for Active Multi-Domain Adaptation—0
FACT: Federated Adversarial Cross TrainingCode0
Multi-Prompt Alignment for Multi-Source Unsupervised Domain AdaptationCode0
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation—0
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