[ICCV 2019]
Moment Matching for Multi-Source Domain Adaptation
[paper] [github]
[AAAI 2020]
Multi-source Distilling Domain Adaptation
[paper] [github]
[NeurIPS 2019]
Multi-source Domain Adaptation for Semantic Segmentation
[paper] [github]
[ECCV 2020]
Learning to Combine: Knowledge Aggregationfor Multi-Source Domain Adaptation
[paper]
[AAAI 2020]
Multi-source Domain Adaptation for Visual Sentiment Classification
[paper]
[CVPR 2019]
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
[paper]
[NeurIPS 2019]
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation
[paper]
[NeurIPS 2020]
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
[paper]
[CVPR 2018]
Boosting Domain Adaptation by Discovering Latent Domains
[paper]
[NeurIPS 2018]
Adversarial Multiple Source Domain Adaptation
[paper]
[CVPRW 2020]
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization
[paper]
[2020]
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation
[paper]
[PMLR 2020]
Domain Aggregation Networks forMulti-Source Domain Adaptation
[paper]
[IJCAI 2016]
Multi-Source Iterative Adaptation for Cross-Domain Classification
[paper]
[2020]
Multi-source Domain Adaptation in the Deep Learning Era : A Systematic Survey
[paper]
[AAAI 2015]
Multi-Source Domain Adaptation: A Causal View
[paper]
[2020]
Universal Multi-Source Domain Adaptation
[paper]
[2020]
Multi-Source Attention for Unsupervised Domain Adaptation
[paper]
[2020]
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
[paper]
[2020]
Teacher-Student Consistency For Multi-Source Domain Adaptation
[paper]
[NeurIPS 2011]
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
[paper]