Transfer Learning Publications

Publications in Transfer Learning

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

Transfer Learning

9.1K

Publications

646.1K

Citations

Showing yearly statistics from 2000-2026.

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	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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn, Pieter Abbeel, Sergey Levine arXiv (Cornell University) Artificial IntelligenceFew-shot LearningFast AdaptationMachine VisionMachine Learning	2017	5.8K
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, IEEE Transactions on Medical Imaging Convolutional Neural NetworkEngineeringMachine LearningFeature DetectionAutoencoders	2016	5.7K
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 without Forgetting Zhizhong Li, Derek Hoiem IEEE Transactions on Pattern Analysis and Machine Intelligence Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningEducation	2017	3.6K
How transferable are features in deep neural networks? Jason Yosinski, Jeff Clune, Yoshua Bengio, arXiv (Cornell University) Target DatasetImage ClassificationDeep Neural NetworksMachine VisionMachine Learning	2014	3.5K
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
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Roberto Cipolla, Yarin Gal, Alex Kendall Artificial IntelligenceConvolutional Neural NetworkMultiple Instance LearningEngineeringMachine Learning	2018	2.7K
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

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