Learning Transferable Features with Deep Adaptation Networks

Mingsheng Long; Yue Cao; Jianmin Wang; Michael I. Jordan

doi:https://doi.org/10.48550/arxiv.1502.02791

Learning Transferable Features with Deep Adaptation Networks

2015 · arXiv (Cornell University) · 2,839 citations · 11 from inside this corpus

Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan

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22 of 22 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→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Adversarial Discriminative Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Learning without Forgetting→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Deep visual domain adaptation: A survey→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in\n Semantic Segmentation→Learning Transferable Features with Deep Adaptation NetworksLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→A Survey on Transfer LearningLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→A theory of learning from different domainsLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→A kernel two-sample testLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
Learning Transferable Features with Deep Adaptation Networks→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy 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→Analysis of Representations for Domain AdaptationLegacy 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
Transfer Feature Learning with Joint Distribution Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Transfer Feature Learning with Joint Distribution Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
Transfer Feature Learning with Joint Distribution Adaptation→A Survey on Transfer LearningLegacy edge — source detail unavailable
A theory of learning from different domains→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
Geodesic flow kernel for unsupervised domain adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Geodesic flow kernel for unsupervised domain adaptation→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
Geodesic flow kernel for unsupervised domain adaptation→A Survey on Transfer LearningLegacy 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
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
A Survey on Transfer Learning→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
A kernel two-sample test→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
Learning without Forgetting→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Learning without Forgetting→A Survey on Transfer LearningLegacy 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→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks→A kernel two-sample testLegacy 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→Transfer Feature Learning with Joint Distribution AdaptationLegacy 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 Hashing Network for Unsupervised Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→A theory of learning from different domainsLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→A Survey on Transfer LearningLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised Domain Adaptation→Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachLegacy edge — source detail unavailable
Deep Hashing Network for Unsupervised 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→Geodesic flow kernel for unsupervised domain adaptationLegacy 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→A Survey on Transfer LearningLegacy 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→A theory of learning from different domainsLegacy edge — source detail unavailable
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation→Analysis of Representations for Domain AdaptationLegacy 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→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
Return of Frustratingly Easy Domain Adaptation→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Deep Domain Confusion: Maximizing for Domain InvarianceLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Adapting Visual Category Models to New DomainsLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→A theory of learning from different domainsLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Analysis of Representations for Domain AdaptationLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→A Survey on Transfer LearningLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Adversarial Discriminative Domain AdaptationLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Deep Hashing Network for Unsupervised Domain AdaptationLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Maximum Classifier Discrepancy for Unsupervised Domain AdaptationLegacy edge — source detail unavailable
Moment Matching for Multi-Source Domain Adaptation→Return of Frustratingly Easy Domain AdaptationLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→A Survey on Transfer LearningLegacy 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→Transfer Feature Learning with Joint Distribution AdaptationLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Geodesic flow kernel for unsupervised domain adaptationLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→A Survey on Transfer LearningLegacy 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
A Survey on Transfer Learning	2009	23,670
Improving neural networks by preventing co-adaptation of feature detectors	2012	6,653
A theory of learning from different domains	2009	3,607
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition	2013	3,564
Adapting Visual Category Models to New Domains	2010	2,873
Deep Domain Confusion: Maximizing for Domain Invariance	2014	2,354
A kernel two-sample test	2012	2,224
Geodesic flow kernel for unsupervised domain adaptation	2012	2,219
Analysis of Representations for Domain Adaptation	2007	2,044
Transfer Feature Learning with Joint Distribution Adaptation	2013	2,033
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach	2011	1,562

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
Learning without Forgetting	2017	4,034
Federated Learning in Mobile Edge Networks: A Comprehensive Survey	2020	2,538
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation	2018	2,280
Deep visual domain adaptation: A survey	2018	2,232
Deep Hashing Network for Unsupervised Domain Adaptation	2017	2,081
Return of Frustratingly Easy Domain Adaptation	2016	1,910
Moment Matching for Multi-Source Domain Adaptation	2019	1,643
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

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Topics

Domain Adaptation and Few-Shot Learning	Computer Science
Anomaly Detection Techniques and Applications	Computer Science
Generative Adversarial Networks and Image Synthesis	Computer Science

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