Unsupervised Domain Adaptation by Backpropagation

Yaroslav Ganin; Victor Lempitsky

doi:https://doi.org/10.48550/arxiv.1409.7495

Unsupervised Domain Adaptation by Backpropagation

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

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.

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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Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

A Comprehensive Survey on Transfer Learning→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
Adversarial Discriminative Domain Adaptation→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation→Unsupervised Domain Adaptation by BackpropagationLegacy edge — source detail unavailable
Unsupervised Domain Adaptation by Backpropagation→Dropout: a simple way to prevent neural networks from overfittingLegacy edge — source detail unavailable
Unsupervised Domain Adaptation by Backpropagation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Unsupervised Domain Adaptation by Backpropagation→Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
Unsupervised Domain Adaptation by Backpropagation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Unsupervised Domain Adaptation by Backpropagation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Unsupervised Domain Adaptation by Backpropagation→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
Unsupervised Domain Adaptation by Backpropagation→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
Deep Domain Confusion: Maximizing for Domain Invariance→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Deep Domain Confusion: Maximizing for Domain Invariance→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
Deep Domain Confusion: Maximizing for Domain Invariance→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Unsupervised Visual Domain Adaptation Using Subspace Alignment→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
Adversarial Discriminative Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Adversarial Discriminative Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Adversarial Discriminative Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Adversarial Discriminative Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial NetworksLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Maximum Classifier Discrepancy for Unsupervised Domain AdaptationLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation→Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial NetworksLegacy edge — source detail unavailable
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation→Maximum Classifier Discrepancy for Unsupervised Domain AdaptationLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Unsupervised Visual Domain Adaptation Using Subspace AlignmentLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Deep visual domain adaptation: A surveyLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Dropout: a simple way to prevent neural networks from overfitting	2014	34,236
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition	2013	3,564
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…	2014	3,197
Adapting Visual Category Models to New Domains	2010	2,873
Deep Domain Confusion: Maximizing for Domain Invariance	2014	2,354
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach	2011	1,562
Unsupervised Visual Domain Adaptation Using Subspace Alignment	2013	1,400

What cites it, inside the corpus

Paper	Year	Cited
A Comprehensive Survey on Transfer Learning	2020	6,441
Adversarial Discriminative Domain Adaptation	2017	5,087
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation	2018	2,280
Deep visual domain adaptation: A survey	2018	2,232
Return of Frustratingly Easy Domain Adaptation	2016	1,910
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks	2017	1,634
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation	2018	1,444

Links

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Topics

Domain Adaptation and Few-Shot Learning	Computer Science
Multimodal Machine Learning Applications	Computer Science

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complete

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supports2 author record(s) attached.
supports31 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

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