Who Cited It

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

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.

Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…A Survey on Transfer Learning (2009)A Survey on Transfer LearningImproving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …A 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…A kernel two-sample test (2012)A kernel two-sample testGeodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Analysis of Representations for Domain Adaptation (2007)Analysis of Representations f…Transfer Feature Learning with Joint Distribution Adaptation (2013)Transfer Feature Learning wit…Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (2011)Domain Adaptation for Large-S…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…Adversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…Learning without Forgetting (2017)Learning without ForgettingFederated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Maximum Classifier Discrepancy for Unsupervised Domain Adaptation (2018)Maximum Classifier Discrepanc…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…Deep Hashing Network for Unsupervised Domain Adaptation (2017)Deep Hashing Network for Unsu…Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …Moment Matching for Multi-Source Domain Adaptation (2019)Moment Matching for Multi-Sou…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…
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What this paper cites, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
Improving neural networks by preventing co-adaptation of feature detectors20126,653
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
A kernel two-sample test20122,224
Geodesic flow kernel for unsupervised domain adaptation20122,219
Analysis of Representations for Domain Adaptation20072,044
Transfer Feature Learning with Joint Distribution Adaptation20132,033
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach20111,562

What cites it, inside the corpus

PaperYearCited
A Comprehensive Survey on Transfer Learning20206,441
Adversarial Discriminative Domain Adaptation20175,087
Learning without Forgetting20174,034
Federated Learning in Mobile Edge Networks: A Comprehensive Survey20202,538
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation20182,280
Deep visual domain adaptation: A survey20182,232
Deep Hashing Network for Unsupervised Domain Adaptation20172,081
Return of Frustratingly Easy Domain Adaptation20161,910
Moment Matching for Multi-Source Domain Adaptation20191,643
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
Anomaly Detection Techniques and ApplicationsComputer Science
Generative Adversarial Networks and Image SynthesisComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports35 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 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…