Who Cited It

Frustratingly Easy Domain Adaptation

2009 · arXiv (Cornell University) · 1,396 citations · 10 from inside this corpus

Hal Daumé

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.

Frustratingly Easy Domain Adaptation (2009)Frustratingly Easy Domain Ada…Analysis of Representations for Domain Adaptation (2007)Analysis of Representations f…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…A Survey on Transfer Learning (2009)A Survey on Transfer LearningA Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…A survey of transfer learning (2016)A survey of transfer learningA theory of learning from different domains (2009)A theory of learning from dif…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Adapting Visual Category Models to New Domains (2010)Adapting Visual Category Mode…Deep Domain Confusion: Maximizing for Domain Invariance (2014)Deep Domain Confusion: Maximi…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …
12 of 12 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Analysis of Representations for Domain Adaptation20072,044
Domain adaptation with structural correspondence learning20061,565

What cites it, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
A Comprehensive Survey on Transfer Learning20206,441
A survey of transfer learning20166,290
A theory of learning from different domains20093,607
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Adapting Visual Category Models to New Domains20102,873
Deep Domain Confusion: Maximizing for Domain Invariance20142,354
On the Opportunities and Risks of Foundation Models20212,265
Geodesic flow kernel for unsupervised domain adaptation20122,219
Return of Frustratingly Easy Domain Adaptation20161,910

Links

DOI · Open access copy · OpenAlex record

Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

Is this record sound?

complete

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

  • supports1 author record(s) attached.
  • supports4 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…