Multi-Source Domain Adaptation 多源域适应 最新论文集合 

Multi-Source Domain Adaptation 最新论文集合 

[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]

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原文链接:https://blog.csdn.net/u014546828/article/details/110399996

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