Who Cited It

Domain-Adversarial Training of Neural Networks

2017 · Advances in computer vision and pattern recognition · 7,702 citations · 11 from inside this corpus

Yaroslav Ganin, Evgeniya Ustinova low, Hana Ajakan low, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, Victor Lempitsky

No abstract in the source record.

Domain-Adversarial Training of Neural Networks (2017)Domain-Adversarial Training o…Dropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…ADADELTA: An Adaptive Learning Rate Method (2012)ADADELTA: An Adaptive Learnin…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…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…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Analysis of Representations for Domain Adaptation (2007)Analysis of Representations f…Correcting Sample Selection Bias by Unlabeled Data (2007)Correcting Sample Selection B…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…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)Stop explaining black box machine learning models for high stakes decisions and use inter… (2019)Stop explaining black box mac…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…Adversarial Discriminative Domain Adaptation (2017)Adversarial Discriminative Do…Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…Methods for interpreting and understanding deep neural networks (2017)Methods for interpreting and …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…Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks (2017)Unsupervised Pixel-Level Doma…A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training (2018)Unsupervised Domain Adaptatio…
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What this paper cites, inside the corpus

PaperYearCited
Dropout: a simple way to prevent neural networks from overfitting201434,236
ADADELTA: An Adaptive Learning Rate Method20125,532
A theory of learning from different domains20093,607
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
Geodesic flow kernel for unsupervised domain adaptation20122,219
Analysis of Representations for Domain Adaptation20072,044
Correcting Sample Selection Bias by Unlabeled Data20071,566
Domain adaptation with structural correspondence learning20061,565
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
Stop explaining black box machine learning models for high stakes decisions and use inter…20199,924
A Comprehensive Survey on Transfer Learning20206,441
Adversarial Discriminative Domain Adaptation20175,087
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
Methods for interpreting and understanding deep neural networks20172,763
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation20182,280
Deep visual domain adaptation: A survey20182,232
Deep Hashing Network for Unsupervised Domain Adaptation20172,081
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks20171,634
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-training20181,499

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Video Surveillance and Tracking MethodsComputer Science
Gait Recognition and AnalysisEngineering

Is this record sound?

complete

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

  • supports8 author record(s) attached.
  • supports55 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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