Self-taught learning: transfer learning from unlabeled data

Keywords

Computer science, Artificial intelligence, Semi-supervised learning, Labeled data, Kernel (algebra)

References

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Cited by

• Sparse Modeling with Universal Priors and Learned Incoherent Dictionaries(PREPRINT)Ignacio Ramírez, Federico Lecumberry, Guillermo Sapiro — 2009
• A Framework for Semisupervised Feature Generation and Its Applications in Biomedical Literature MiningJuan Jesús Larrubia Martínez — 2011
• Feature-based transfer learning with real-world applicationsJialin Pan — 2010
• Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning ApproachXavier Glorot, Antoine Bordes, Yoshua Bengio — 2011
• Zero-data Learning of New TasksHugo Larochelle, Dumitru Erhan, Yoshua Bengio — 2008
• Inference of Low-Dimensional Latent Structure in High-Dimensional DataHaojun Chen — 2011
• Lifelong Learning of Discriminative RepresentationsOuais Alsharif, Philip Bachman, Joëlle Pineau — 2014
• Sparse coding for machine learning, image processing and computer visionJulien Mairal — 2010
• Unsupervised Feature Learning and Deep Learning: A Review and New PerspectivesYoshua Bengio, Aaron Courville, Pascal Vincent — 2012
• Learning in modular systemsJ. Andrew Bagnell, David M. Bradley — 2010
• Robust content-based image retrieval of multi-example queriesJun Zhang — 2011
• Self-taught Learning for Classification of Mass Spectrometry Data: A Case Study of Colorectal CancerTheodore Alexandrov — 2009
• Learned Factorization Models to Explain Variability in Natural Image SequencesBenjamin J. Culpepper — 2011
• Active Deep Networks for Semi-Supervised Sentiment ClassificationShusen Zhou, Qingcai Chen, Xiaolong Wang — 2010
• Reinforcement learning transfer via sparse codingHaitham Bou Ammar, Karl Tuyls, Matthew E. Taylor — 2012
• Teaching Machines to Learn by MetaphorsOmer Levy, Shaul Markovitch — 2012
• Bi-weighting domain adaptation for cross-language text classificationChang Wan, Rong Pan, Jiefei Li — 2011
• Automated transfer in reinforcement learningHaitham Bou Ammar — 2013
• Selecting Informative Universum Sample for Semi-Supervised LearningShuo Chen, Changshui Zhang — 2009
• A Semi-Supervised Framework for Feature Mapping and Multiclass ClassificationBo Chen, Wai Lam, Ivor W. Tsang — 2009

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