awesome-domain-adaptation
github.com/eric-erki/awesome-domain-adaptation ↗A collection of AWESOME things about domian adaptation
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SurveyTheoryUnsupervised DASemi-supervised DAWeakly-Supervised DAZero-shot DAOne-shot DAFew-shot DAOpen Set DAPartial DAUniversal DAMulti Source DAMulti Target DAMulti Step DAHeterogeneous DATarget-agnostic DAFederated DAModel SelectionOther Transfer Learning ParadigmsApplicationsRelated TopicsBenchmarks
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me adversarial methods resources from awesome-domain-adaptation"
Installation instructions →What's inside
Unsupervised DA
- [10 Dec 2019]Adversarial Methods
- [20 Sep 2019]Optimal Transport
- [21 Nov 2019]Other Methods
- [23 Oct 2019]Adversarial Methods
- [25 Sep 2019]Other Methods
- [25 Sep 2019]Adversarial Methods
Applications
- [11 Nov 2019]Others
- [15 Nov 2019]Object Detection
- [17 Nov 2019]Object Detection
- [23 Oct 2019]Semantic Segmentation
- [24 Sep 2019]Semantic Segmentation
- [27 Nov 2019]Semantic Segmentation
Multi Source DA
Other Transfer Learning Paradigms
- [18 Sep 2019]Domain Generalization
- [24 May 2019]Domain Generalization
- [29 Apr 2019]Domain Generalization
- [8 Dec 2019]Domain Generalization
- [9 Dec 2018]Domain Generalization
- [AAAI2020]Domain Generalization
Semi-supervised DA
- [25 Oct 2019]Adversarial Methods
Federated DA
Showing a sample of 345 resources. View the full list on GitHub →