Who Cited It

Unsupervised Domain Adaptation by Backpropagation

2014 · arXiv (Cornell University) · 2,608 citations · 7 from inside this corpus

Yaroslav Ganin, Victor Lempitsky

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.

Unsupervised Domain Adaptation by Backpropagation (2014)Unsupervised Domain Adaptatio…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw… (2014)Learning and Transferring Mid…Adapting Visual Category Models to New Domains (2010)Adapting Visual Category Mode…Deep Domain Confusion: Maximizing for Domain Invariance (2014)Deep Domain Confusion: Maximi…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…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…Adversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (2018)Maximum Classifier Discrepanc…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks (2017)Unsupervised Pixel-Level Doma…ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation (2018)ADVENT: Adversarial Entropy M…
14 of 14 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
Dropout: a simple way to prevent neural networks from overfitting201434,236
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…20143,197
Adapting Visual Category Models to New Domains20102,873
Deep Domain Confusion: Maximizing for Domain Invariance20142,354
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach20111,562
Unsupervised Visual Domain Adaptation Using Subspace Alignment20131,400

What cites it, inside the corpus

PaperYearCited
A Comprehensive Survey on Transfer Learning20206,441
Adversarial Discriminative Domain Adaptation20175,087
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation20182,280
Deep visual domain adaptation: A survey20182,232
Return of Frustratingly Easy Domain Adaptation20161,910
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks20171,634
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation20181,444

Links

DOI · Open access copy · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Multimodal Machine Learning ApplicationsComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports31 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 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…