Boosting for transfer learning
Wenyuan Dai low, Qiang Yang, Gui-Rong Xue low, Yong Yu
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- A Survey on Transfer Learning→Boosting for transfer learningLegacy edge — source detail unavailable
- A Comprehensive 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 theory of learning from different domains→Boosting for transfer learningLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→Boosting for transfer learningLegacy edge — source detail unavailable
- A Survey on Deep Transfer Learning→Boosting for transfer learningLegacy edge — source detail unavailable
- Boosting for transfer learning→Advances in Neural Information Processing Systems 19Legacy edge — source detail unavailable
- Boosting for transfer learning→A training algorithm for optimal margin classifiersLegacy edge — source detail unavailable
- Boosting for transfer learning→Multitask LearningLegacy edge — source detail unavailable
- Boosting for transfer learning→Transductive Inference for Text Classification using Support Vector MachinesLegacy edge — source detail unavailable
- Boosting for transfer learning→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- Boosting for transfer learning→Learning to Classify Text Using Support Vector MachinesLegacy edge — source detail unavailable
- A theory of learning from different domains→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- A Survey on Transfer Learning→Transductive Inference for Text Classification using Support Vector MachinesLegacy edge — source detail unavailable
- A Survey on Transfer Learning→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- A Survey on Transfer Learning→Multitask LearningLegacy edge — source detail unavailable
- A survey of transfer learning→Correcting Sample Selection Bias by Unlabeled DataLegacy edge — source detail unavailable
- A survey of transfer learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→A Survey on Transfer LearningLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→A survey of transfer learningLegacy edge — source detail unavailable
- A Survey on Deep Transfer Learning→A Survey on Transfer LearningLegacy edge — source detail unavailable
- A Survey on Deep Transfer Learning→A survey of transfer learningLegacy edge — source detail unavailable
- A Comprehensive Survey on Transfer Learning→Correcting Sample Selection Bias by Unlabeled DataLegacy 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→A Survey on Deep Transfer LearningLegacy 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 |
| 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 |
| Continual lifelong learning with neural networks: A review | 2019 | 3,145 |
| A Survey on Deep Transfer Learning | 2018 | 2,907 |
Links
Topics
| Domain Adaptation and Few-Shot Learning | Computer Science |
| Machine Learning and Algorithms | Computer Science |
| Machine Learning and Data Classification | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports4 author record(s) attached.
- supports31 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 db1645b78a57e29a…