Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten Borgwardt, Bernhard Schölkopf low
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Citation edge evidence
- A Survey on Transfer Learning→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- A survey of transfer learning→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- A theory of learning from different domains→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- Geodesic flow kernel for unsupervised domain adaptation→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- Boosting for transfer learning→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- Correcting Sample Selection Bias by Unlabeled Data→Estimating the Support of a High-Dimensional DistributionLegacy edge — source detail unavailable
- Correcting Sample Selection Bias by Unlabeled Data→Large Margin Methods for Structured and Interdependent Output VariablesLegacy edge — source detail unavailable
- Correcting Sample Selection Bias by Unlabeled Data→A Kernel Method for the Two-Sample-ProblemLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→A theory of learning from different domainsLegacy edge — source detail unavailable
- Domain-Adversarial Training of Neural Networks→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- A theory of learning from different domains→Boosting for transfer learningLegacy edge — source detail unavailable
- A Kernel Method for the Two-Sample-Problem→Estimating the Support of a High-Dimensional DistributionLegacy edge — source detail unavailable
- Geodesic flow kernel for unsupervised domain adaptation→A Survey on Transfer LearningLegacy edge — source detail unavailable
- A Survey on Transfer Learning→Boosting for transfer learningLegacy edge — source detail unavailable
- A survey of transfer learning→Boosting for transfer learningLegacy edge — source detail unavailable
- A survey of transfer learning→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- A survey of transfer learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
- Return of Frustratingly Easy Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- Deep CORAL: Correlation Alignment for Deep Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Domain-Adversarial Training of Neural NetworksLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Boosting for transfer learningLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→A survey of transfer learningLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Deep CORAL: Correlation Alignment for Deep Domain AdaptationLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| A Survey on Transfer Learning | 2009 | 23,670 |
| Domain-Adversarial Training of Neural Networks | 2017 | 7,702 |
| A Comprehensive Survey on Transfer Learning | 2020 | 6,441 |
| A survey of transfer learning | 2016 | 6,290 |
| A theory of learning from different domains | 2009 | 3,607 |
| Deep CORAL: Correlation Alignment for Deep Domain Adaptation | 2016 | 3,286 |
| Geodesic flow kernel for unsupervised domain adaptation | 2012 | 2,219 |
| Return of Frustratingly Easy Domain Adaptation | 2016 | 1,910 |
| Boosting for transfer learning | 2007 | 1,748 |
Links
Topics
| Machine Learning and Data Classification | Computer Science |
| Machine Learning and Algorithms | Computer Science |
| Gaussian Processes and Bayesian Inference | Computer Science |
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