Who Cited It

A Survey on Transfer Learning

2009 · IEEE Transactions on Knowledge and Data Engineering · 23,670 citations · 28 from inside this corpus

Sinno Jialin Pan, Qiang Yang

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A Survey on Transfer Learning (2009)A Survey on Transfer LearningStatistical Learning Theory (1999)Statistical Learning TheoryMultitask Learning (1997)Multitask LearningCombining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…Semi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…Transductive Inference for Text Classification using Support Vector Machines (1999)Transductive Inference for Te…Markov logic networks (2006)Markov logic networksAnalysis of Representations for Domain Adaptation (2007)Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi… (2007)Biographies, Bollywood, Boom-…Boosting for transfer learning (2007)Boosting for transfer learningCorrecting Sample Selection Bias by Unlabeled Data (2007)Correcting Sample Selection B…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…Regularized multi--task learning (2004)Regularized multi--task learn…Frustratingly Easy Domain Adaptation (2009)Deep learning in neural networks: An overview (2014)Deep learning in neural netwo…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…A survey of transfer learning (2016)A survey of transfer learningFederated Machine Learning (2019)Federated Machine LearningAdvances and Open Problems in Federated Learning (2020)Advances and Open Problems in…Learning without Forgetting (2017)Learning without ForgettingLearning and Transferring Mid-level Image Representations Using Convolutional Neural Netw… (2014)Learning and Transferring Mid…Continual lifelong learning with neural networks: A review (2019)Continual lifelong learning w…An Introduction to Deep Learning for the Physical Layer (2017)An Introduction to Deep Learn…A Survey on Deep Transfer Learning (2018)A Survey on Deep Transfer Lea…Learning Transferable Features with Deep Adaptation Networks (2015)Learning Transferable Feature…Deep learning and its applications to machine health monitoring (2018)Deep learning and its applica…Generalizing from a Few Examples (2020)Generalizing from a Few Examp…Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2020)Federated Learning in Mobile …Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Researc… (2021)Deep Learning: A Comprehensiv…Deep visual domain adaptation: A survey (2018)Deep visual domain adaptation…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Deep Hashing Network for Unsupervised Domain Adaptation (2017)Deep Hashing Network for Unsu…Transfer Feature Learning with Joint Distribution Adaptation (2013)Transfer Feature Learning wit…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…A continual learning survey: Defying forgetting in classification tasks (2021)A continual learning survey: …
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Topics

Domain Adaptation and Few-Shot LearningComputer Science
Machine Learning and Data ClassificationComputer Science
Machine Learning and AlgorithmsComputer Science

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Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

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