Domain Adaptation Publications

Publications in Domain Adaptation

Explore the most influential research papers and scholarly works that have shaped Domain Adaptation. Use the concept filter below to focus on a specific sub-area of research.

Domain Adaptation

5.6K

Publications

431.6K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
A Survey on Transfer Learning Sinno Jialin Pan, Qiang Yang IEEE Transactions on Knowledge and Data Engineering EngineeringMachine LearningKnowledge TransferData MiningPattern Recognition	2009	22.5K
A survey of transfer learning Karl R. Weiss, Taghi M. Khoshgoftaar, Dingding Wang Journal Of Big Data Data ClassificationEngineeringMachine LearningData ScienceData Mining	2016	5.9K
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Proceedings of the IEEE EngineeringMachine LearningData ScienceData MiningPattern Recognition	2020	5.8K
Adversarial Discriminative Domain Adaptation Eric Tzeng, Judy Hoffman, Kate Saenko, Artificial IntelligenceMachine VisionMachine LearningData ScienceEngineering	2017	4.9K
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel, Noam Shazeer, Adam P. Roberts, arXiv (Cornell University) Llm Fine-tuningEngineeringMachine LearningText-to-text TransformerMultilingual Pretraining	2019	3.7K
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long, Yue Cao, Jianmin Wang, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningData ScienceFeature Learning	2015	2.8K
Domain randomization for transferring deep neural networks from simulation to the real world Josh Tobin, Rachel Fong, Alex Ray, Artificial IntelligenceEngineeringMachine LearningField RoboticsSimulation	2017	2.6K
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin, Victor Lempitsky arXiv (Cornell University) Few-shot LearningTop-performing Deep ArchitecturesMachine VisionMachine LearningData Science	2014	2.6K
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng, Judy Hoffman, Ning Zhang, arXiv (Cornell University) Domain ConfusionFew-shot LearningConvolutional Neural NetworkImage AnalysisMachine Learning	2014	2.3K
Geodesic flow kernel for unsupervised domain adaptation Boqing Gong, Yuan Shi, Fei Sha, Target DomainEngineeringMachine LearningSource DomainImage Classification	2012	2.2K
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku, Artificial IntelligenceEngineeringMachine LearningImage AnalysisUnsupervised Domain Adaptation	2018	2.2K
Deep visual domain adaptation: A survey Mei Wang, Weihong Deng Neurocomputing Image AnalysisMachine LearningMachine VisionEngineeringDomain Adaptation	2018	2.1K

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