multi-source domain adaptation

A Theory of Multiple-Source Adaptation with Limited Target Labeled Data AISTATS 2021 Confident Anchor-Induced Multi-Source Free Domain Adaptation NeurIPS 2021 Dynamic Transfer for Multi-Source Domain Adaptation CVPR 2021 Information-Theoretic Regularization for Multi-Source Domain Adaptation ICCV 2021 KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation ICML 2021 mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets ICCV 2021 Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021 Multi-Source Domain Adaptation for Object Detection ICCV 2021 Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation CVPR 2021 Partial Feature Selection and Alignment for Multi-Source Domain Adaptation CVPR 2021 STEM: An Approach to Multi-Source Domain Adaptation With Guarantees ICCV 2021 T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation ICCV 2021 Unsupervised Multi-Source Domain Adaptation for Person Re-Identification CVPR 2021 Unsupervised Multi-Source Domain Adaptation Without Access to Source Data CVPR 2021 Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020 GradMix: Multi-source Transfer across Domains and Tasks WACV 2020 Multi-Source Distilling Domain Adaptation AAAI 2020 Multi-Source Domain Adaptation for Visual Sentiment Classification AAAI 2020 Transformer Based Multi-Source Domain Adaptation EMNLP 2020 Your Classifier can Secretly Suffice Multi-Source Domain Adaptation NeurIPS 2020 Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources AAAI 2019 Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019 Moment Matching for Multi-Source Domain Adaptation ICCV 2019 Multi-source Domain Adaptation for Semantic Segmentation NeurIPS 2019