Who Cited It

Analysis of Representations for Domain Adaptation

2007 · The MIT Press eBooks · 2,044 citations · 16 from inside this corpus

Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira

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.

Analysis of Representations for Domain Adaptation (2007)Analysis of Representations f…Statistical Learning Theory (1999)Statistical Learning TheoryFoundations of statistical natural language processing (1999)Foundations of statistical na…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…A Survey on Transfer Learning (2009)A Survey on Transfer LearningDomain-Adversarial Training of Neural Networks (2017)Domain-Adversarial Training o…A theory of learning from different domains (2009)A theory of learning from dif…Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…Generalizing from a Few Examples (2020)Generalizing from a Few Examp…Deep Domain Confusion: Maximizing for Domain Invariance (2014)Deep Domain Confusion: Maximi…Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (2018)Maximum Classifier Discrepanc…A kernel two-sample test (2012)A kernel two-sample testGeodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi… (2007)Biographies, Bollywood, Boom-…A Kernel Method for the Two-Sample-Problem (2007)A Kernel Method for the Two-S…Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …Moment Matching for Multi-Source Domain Adaptation (2019)Moment Matching for Multi-Sou…Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (2011)Domain Adaptation for Large-S…Unsupervised Visual Domain Adaptation Using Subspace Alignment (2013)Unsupervised Visual Domain Ad…Frustratingly Easy Domain Adaptation (2009)Frustratingly Easy Domain Ada…
19 of 19 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
Statistical Learning Theory199926,957
Foundations of statistical natural language processing19999,997
Domain adaptation with structural correspondence learning20061,565

What cites it, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
Domain-Adversarial Training of Neural Networks20177,702
A theory of learning from different domains20093,607
Learning Transferable Features with Deep Adaptation Networks20152,839
Generalizing from a Few Examples20202,761
Deep Domain Confusion: Maximizing for Domain Invariance20142,354
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation20182,280
A kernel two-sample test20122,224
Geodesic flow kernel for unsupervised domain adaptation20122,219
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi…20072,031
A Kernel Method for the Two-Sample-Problem20071,949
Return of Frustratingly Easy Domain Adaptation20161,910
Moment Matching for Multi-Source Domain Adaptation20191,643
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach20111,562
Unsupervised Visual Domain Adaptation Using Subspace Alignment20131,400
Frustratingly Easy Domain Adaptation20091,396

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Text and Document Classification TechnologiesComputer Science
Imbalanced Data Classification TechniquesComputer Science

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complete

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  • supports4 author record(s) attached.
  • supports14 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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