Transfer Learning
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[1] Qiang Yang,et al. Co-clustering based classification for out-of-domain documents , 2007, KDD '07.
[2] Dit-Yan Yeung,et al. Multi-task warped Gaussian process for personalized age estimation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[4] E. Thorndike,et al. The influence of improvement in one mental function upon the efficiency of other functions. II. The estimation of magnitudes. , 1901 .
[5] Jing Jiang,et al. Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction , 2009, ACL.
[6] Ivor W. Tsang,et al. Domain adaptation from multiple sources via auxiliary classifiers , 2009, ICML '09.
[7] Jian Su,et al. Transfer joint embedding for cross-domain named entity recognition , 2013, TOIS.
[8] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[9] Murat Dundar,et al. Bayesian multiple instance learning: automatic feature selection and inductive transfer , 2008, ICML '08.
[10] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[11] Raymond J. Mooney,et al. Transfer Learning by Mapping with Minimal Target Data , 2008 .
[12] Benno Stein,et al. Cross-Language Text Classification Using Structural Correspondence Learning , 2010, ACL.
[13] Thomas Hofmann,et al. Probabilistic latent semantic indexing , 1999, SIGIR '99.
[14] Sebastian Thrun,et al. Learning to Learn , 1998, Springer US.
[15] Tong Zhang,et al. A High-Performance Semi-Supervised Learning Method for Text Chunking , 2005, ACL.
[16] Avishek Saha,et al. Co-regularization Based Semi-supervised Domain Adaptation , 2010, NIPS.
[17] Sebastian Thrun,et al. Text Classification from Labeled and Unlabeled Documents using EM , 2000, Machine Learning.
[18] Sethu Vijayakumar,et al. Multi-task Gaussian Process Learning of Robot Inverse Dynamics , 2008, NIPS.
[19] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[20] Shuicheng Yan,et al. Visual classification with multi-task joint sparse representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Yiming Yang,et al. Active Learning for Multi-Task Adaptive Filtering , 2010, ICML.
[22] Ramesh Nallapati,et al. A Comparative Study of Methods for Transductive Transfer Learning , 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).
[23] Charu C. Aggarwal,et al. Towards semantic knowledge propagation from text corpus to web images , 2011, WWW.
[24] Qiang Yang,et al. Transferring Localization Models over Time , 2008, AAAI.
[25] Jia Chen,et al. Visual Contextual Advertising: Bringing Textual Advertisements to Images , 2010, AAAI.
[26] Gunnar Rätsch,et al. An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis , 2008, NIPS.
[27] Raymond J. Mooney,et al. Mapping and Revising Markov Logic Networks for Transfer Learning , 2007, AAAI.
[28] Harald C. Gall,et al. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process , 2009, ESEC/SIGSOFT FSE.
[29] Chang Wang,et al. Heterogeneous Domain Adaptation Using Manifold Alignment , 2011, IJCAI.
[30] Philip S. Yu,et al. Transfer Learning on Heterogenous Feature Spaces via Spectral Transformation , 2010, 2010 IEEE International Conference on Data Mining.
[31] Jian Su,et al. Source-Selection-Free Transfer Learning , 2011, IJCAI.
[32] Tyler Lu,et al. Impossibility Theorems for Domain Adaptation , 2010, AISTATS.
[33] Eric P. Xing,et al. Heterogeneous multitask learning with joint sparsity constraints , 2009, NIPS.
[34] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[35] William A. Gale,et al. A sequential algorithm for training text classifiers , 1994, SIGIR '94.
[36] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[37] Massimiliano Pontil,et al. An Algorithm for Transfer Learning in a Heterogeneous Environment , 2008, ECML/PKDD.
[38] Eneko Agirre,et al. On Robustness and Domain Adaptation using SVD for Word Sense Disambiguation , 2008, COLING.
[39] Qiang Yang,et al. Estimating Location Using Wi-Fi , 2008, IEEE Intelligent Systems.
[40] Qiang Yang,et al. Boosting for transfer learning , 2007, ICML '07.
[41] Qiang Yang,et al. Transferring Multi-device Localization Models using Latent Multi-task Learning , 2008, AAAI.
[42] Bernt Schiele,et al. What helps where – and why? Semantic relatedness for knowledge transfer , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[43] M. M. Hassan Mahmud,et al. Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations , 2007, NIPS.
[44] Hongyuan Zha,et al. Multi-task learning for learning to rank in web search , 2009, CIKM.
[45] Qiang Yang,et al. Transfer Learning in Collaborative Filtering for Sparsity Reduction , 2010, AAAI.
[46] Ivor W. Tsang,et al. Visual Event Recognition in Videos by Learning from Web Data , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[47] Ya Zhang,et al. Multi-task learning for boosting with application to web search ranking , 2010, KDD.
[48] Bianca Zadrozny,et al. Learning and evaluating classifiers under sample selection bias , 2004, ICML.
[49] Qiang Yang,et al. Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning , 2007, AAAI.
[50] Qiang Yang,et al. Transferring Localization Models across Space , 2008, AAAI.
[51] Qiang Yang,et al. Translated Learning: Transfer Learning across Different Feature Spaces , 2008, NIPS.
[52] Xiaogang Wang,et al. Boosted multi-task learning for face verification with applications to web image and video search , 2009, CVPR.
[53] Tim Menzies,et al. Data Mining Static Code Attributes to Learn Defect Predictors , 2007, IEEE Transactions on Software Engineering.
[54] Charu C. Aggarwal,et al. Towards cross-category knowledge propagation for learning visual concepts , 2011, CVPR 2011.
[55] Hao Hu,et al. Transfer learning for WiFi-based indoor localization , 2008, AAAI 2008.
[56] Qiang Yang,et al. Transferring Knowledge from Another Domain for Learning Action Models , 2008, PRICAI.
[57] Pedro M. Domingos,et al. Deep transfer via second-order Markov logic , 2009, ICML '09.
[58] Qiang Yang,et al. EigenTransfer: a unified framework for transfer learning , 2009, ICML '09.
[59] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[60] Li Zhang,et al. Empirical Study on the Performance Stability of Named Entity Recognition Model across Domains , 2006, EMNLP.
[61] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[62] Anton Schwaighofer,et al. Learning Gaussian Process Kernels via Hierarchical Bayes , 2004, NIPS.
[63] Lawrence Carin,et al. Logistic regression with an auxiliary data source , 2005, ICML.
[64] Qiang Yang,et al. Indoor localization in multi-floor environments with reduced effort , 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).
[65] Qiang Yang,et al. Can chinese web pages be classified with english data source? , 2008, WWW.
[66] Qiang Yang,et al. Cross-domain sentiment classification via spectral feature alignment , 2010, WWW '10.
[67] Nan Ye,et al. Domain adaptive bootstrapping for named entity recognition , 2009, EMNLP.
[68] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[69] Dacheng Tao,et al. Bregman Divergence-Based Regularization for Transfer Subspace Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[70] John Blitzer,et al. Domain Adaptation with Structural Correspondence Learning , 2006, EMNLP.
[71] Ivor W. Tsang,et al. Domain Transfer SVM for video concept detection , 2009, CVPR 2009.
[72] Edwin V. Bonilla,et al. Multi-task Gaussian Process Prediction , 2007, NIPS.
[73] Neil D. Lawrence,et al. Learning to learn with the informative vector machine , 2004, ICML.
[74] Trevor Darrell,et al. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms , 2011, CVPR 2011.
[75] Bo Chen,et al. Mining employment market via text block detection and adaptive cross-domain information extraction , 2009, SIGIR.
[76] Qiang Yang,et al. Heterogeneous Transfer Learning for Image Classification , 2011, AAAI.
[77] Wei Gao,et al. Learning to rank only using training data from related domain , 2010, SIGIR.
[78] Hui Xiong,et al. Transfer learning from multiple source domains via consensus regularization , 2008, CIKM '08.
[79] Hwee Tou Ng,et al. Domain Adaptation with Active Learning for Word Sense Disambiguation , 2007, ACL.
[80] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[81] Koby Crammer,et al. Learning Bounds for Domain Adaptation , 2007, NIPS.
[82] Rajat Raina,et al. Self-taught learning: transfer learning from unlabeled data , 2007, ICML '07.
[83] Rajat Raina,et al. Constructing informative priors using transfer learning , 2006, ICML.
[84] Tom Heskes,et al. Task Clustering and Gating for Bayesian Multitask Learning , 2003, J. Mach. Learn. Res..
[85] Qiang Yang,et al. Relaxed Transfer of Different Classes via Spectral Partition , 2009, ECML/PKDD.
[86] Jian Hu,et al. Cross-domain Text Classification using Wikipedia , 2008, IEEE Intell. Informatics Bull..
[87] Qiang Yang,et al. Transfer Learning via Dimensionality Reduction , 2008, AAAI.
[88] Patrick Schone,et al. Mining Wiki Resources for Multilingual Named Entity Recognition , 2008, ACL.
[89] Rong Jin,et al. Unsupervised transfer classification: application to text categorization , 2010, KDD.
[90] John Blitzer,et al. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification , 2007, ACL.
[91] Qiang Yang,et al. Bridging Domains Using World Wide Knowledge for Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[92] Barbara Caputo,et al. Safety in numbers: Learning categories from few examples with multi model knowledge transfer , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[93] Svetha Venkatesh,et al. Nonnegative shared subspace learning and its application to social media retrieval , 2010, KDD.
[94] Qiang Yang,et al. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10) Adaptive Transfer Learning , 2022 .
[95] Qiang Yang,et al. Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation , 2008, IEEE Transactions on Mobile Computing.
[96] Massimiliano Pontil,et al. Regularized multi--task learning , 2004, KDD.
[97] Ivor W. Tsang,et al. Predictive Distribution Matching SVM for Multi-domain Learning , 2010, ECML/PKDD.
[98] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[99] Steffen Bickel,et al. Dirichlet-Enhanced Spam Filtering based on Biased Samples , 2006, NIPS.
[100] Yi Zhang,et al. Classifying Software Changes: Clean or Buggy? , 2008, IEEE Transactions on Software Engineering.
[101] Thomas G. Dietterich,et al. To transfer or not to transfer , 2005, NIPS 2005.
[102] Qiang Yang,et al. Transfer learning for collaborative filtering via a rating-matrix generative model , 2009, ICML '09.
[103] Hal Daumé,et al. Frustratingly Easy Domain Adaptation , 2007, ACL.
[104] T. Ben-David,et al. Exploiting Task Relatedness for Multiple , 2003 .
[105] Trevor Darrell,et al. Adapting Visual Category Models to New Domains , 2010, ECCV.
[106] Sinno Jialin Pan,et al. Transfer defect learning , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[107] Qiang Yang,et al. Active Transfer Learning for Cross-System Recommendation , 2013, AAAI.
[108] Qiang Yang,et al. Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction , 2009, IJCAI.
[109] Joachim M. Buhmann,et al. Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[110] Rakesh Gupta,et al. Text Categorization with Knowledge Transfer from Heterogeneous Data Sources , 2008, AAAI.
[111] Bernhard Schölkopf,et al. Correcting Sample Selection Bias by Unlabeled Data , 2006, NIPS.
[112] Jian-Tao Sun,et al. Multi-domain active learning for text classification , 2012, KDD.
[113] Moritz Grosse-Wentrup,et al. Multi-task Learning for Zero Training Brain-Computer Interfaces , 2010 .
[114] Zheng Chen,et al. Transfer learning for behavioral targeting , 2010, WWW '10.
[115] Wei Fan,et al. Actively Transfer Domain Knowledge , 2008, ECML/PKDD.
[116] Ivor W. Tsang,et al. Tag-based web photo retrieval improved by batch mode re-tagging , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[117] Jieping Ye,et al. A convex formulation for learning shared structures from multiple tasks , 2009, ICML '09.
[118] Qiang Yang,et al. Multitask Learning for Protein Subcellular Location Prediction , 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[119] Massimiliano Pontil,et al. Multi-Task Feature Learning , 2006, NIPS.
[120] Jean-Philippe Vert,et al. Clustered Multi-Task Learning: A Convex Formulation , 2008, NIPS.
[121] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[122] Ivor W. Tsang,et al. Extracting discriminative concepts for domain adaptation in text mining , 2009, KDD.
[123] Wei Fan,et al. Heterogeneous cross domain ranking in latent space , 2009, CIKM.
[124] Bin Cao,et al. Multi-Domain Collaborative Filtering , 2010, UAI.
[125] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[126] Stephen E. Robertson,et al. The TREC 2002 Filtering Track Report , 2002, TREC.
[127] Eric Eaton,et al. Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer , 2008, ECML/PKDD.
[128] David M. Pennock,et al. Categories and Subject Descriptors , 2001 .
[129] Qiang Yang,et al. Topic-bridged PLSA for cross-domain text classification , 2008, SIGIR '08.
[130] Gunnar Rätsch,et al. Leveraging Sequence Classification by Taxonomy-Based Multitask Learning , 2010, RECOMB.
[131] Charles A. Micchelli,et al. A Spectral Regularization Framework for Multi-Task Structure Learning , 2007, NIPS.
[132] Motoaki Kawanabe,et al. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation , 2007, NIPS.
[133] Yishay Mansour,et al. Multiple Source Adaptation and the Rényi Divergence , 2009, UAI.
[134] Yishay Mansour,et al. Domain Adaptation with Multiple Sources , 2008, NIPS.
[135] Rich Caruana,et al. Multitask Learning , 1997, Machine-mediated learning.
[136] Qiang Yang,et al. Quantifying information and contradiction in propositional logic through test actions , 2009, IJCAI.
[137] Neil D. Lawrence,et al. Dataset Shift in Machine Learning , 2009 .
[138] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[139] Yi Yao,et al. Boosting for transfer learning with multiple sources , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[140] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .
[141] Hal Daumé,et al. Learning Multiple Tasks using Manifold Regularization , 2010, NIPS.
[142] Rong Yan,et al. Cross-domain video concept detection using adaptive svms , 2007, ACM Multimedia.
[143] Ivor W. Tsang,et al. Learning with Augmented Features for Heterogeneous Domain Adaptation , 2012, ICML.
[144] Yoshua Bengio,et al. Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach , 2011, ICML.
[145] Dit-Yan Yeung,et al. A Convex Formulation for Learning Task Relationships in Multi-Task Learning , 2010, UAI.
[146] ChengXiang Zhai,et al. Instance Weighting for Domain Adaptation in NLP , 2007, ACL.
[147] A. Atiya,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[148] Jing Peng,et al. Latent space domain transfer between high dimensional overlapping distributions , 2009, WWW '09.
[149] Ivor W. Tsang,et al. Using large-scale web data to facilitate textual query based retrieval of consumer photos , 2009, MM '09.
[150] Qiang Yang,et al. Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains , 2010, ICML.
[151] Thomas G. Dietterich,et al. Improving SVM accuracy by training on auxiliary data sources , 2004, ICML.
[152] Michael Goesele,et al. A shape-based object class model for knowledge transfer , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[153] Gavriel Salomon,et al. T RANSFER OF LEARNING , 1992 .
[154] Qiang Yang,et al. Cross-Domain Co-Extraction of Sentiment and Topic Lexicons , 2012, ACL.
[155] Qiang Yang,et al. Transferring Naive Bayes Classifiers for Text Classification , 2007, AAAI.
[156] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[157] Qiang Yang,et al. Cross-domain activity recognition , 2009, UbiComp.
[158] Bahram Parvin,et al. Sparse multitask regression for identifying common mechanism of response to therapeutic targets , 2010, Bioinform..
[159] Jian-Bo Yang,et al. Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach , 2012, EMNLP.
[160] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[161] Alexander J. Smola,et al. Multitask Learning without Label Correspondences , 2010, NIPS.
[162] Christoph H. Lampert,et al. Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer Learning , 2010, ECCV.
[163] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[164] Takafumi Kanamori,et al. A Least-squares Approach to Direct Importance Estimation , 2009, J. Mach. Learn. Res..
[165] Diane J. Cook,et al. Activity Recognition Based on Home to Home Transfer Learning , 2010, Plan, Activity, and Intent Recognition.
[166] Bernhard Schölkopf,et al. Introduction to Semi-Supervised Learning , 2006, Semi-Supervised Learning.