Who Cited It

Transfer Feature Learning with Joint Distribution Adaptation

2013 · 2,033 citations · 6 from inside this corpus

Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. 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.

Transfer Feature Learning with Joint Distribution Adaptation (2013)Transfer Feature Learning wit…A Survey on Transfer Learning (2009)A Survey on Transfer LearningAdapting Visual Category Models to New Domains (2010)Adapting Visual Category Mode…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…A Kernel Method for the Two-Sample-Problem (2007)A Kernel Method for the Two-S…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…A survey of transfer learning (2016)A survey of transfer learningAdversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Deep Hashing Network for Unsupervised Domain Adaptation (2017)Deep Hashing Network for Unsu…
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What this paper cites, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
Adapting Visual Category Models to New Domains20102,873
Geodesic flow kernel for unsupervised domain adaptation20122,219
A Kernel Method for the Two-Sample-Problem20071,949

What cites it, inside the corpus

PaperYearCited
A Comprehensive Survey on Transfer Learning20206,441
A survey of transfer learning20166,290
Adversarial Discriminative Domain Adaptation20175,087
Learning Transferable Features with Deep Adaptation Networks20152,839
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Deep Hashing Network for Unsupervised Domain Adaptation20172,081

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Machine Learning and ELMComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports40 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…