Active Transfer Learning
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Wei Zhang | Zhihao Peng | Xiaozhao Fang | Peipei Kang | Luyao Teng | Na Han | Wei Zhang | Zhihao Peng | Na Han | Xiaozhao Fang | Peipei Kang | Luyao Teng
[1] N. Altman. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .
[2] Donald E. Knuth. Two notes on notation , 1992 .
[3] N. Hjort,et al. Nonparametric Density Estimation with a Parametric Start , 1995 .
[4] Adrian E. Raftery,et al. Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .
[5] H. Shimodaira,et al. Improving predictive inference under covariate shift by weighting the log-likelihood function , 2000 .
[6] Klaus Obermayer,et al. Gaussian process regression: active data selection and test point rejection , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[7] Thomas Gärtner,et al. Multi-Instance Kernels , 2002, ICML.
[8] André Elisseeff,et al. Stability and Generalization , 2002, J. Mach. Learn. Res..
[9] J. De Gooijer,et al. On Conditional Density Estimation , 2003 .
[10] Tom Heskes,et al. Task Clustering and Gating for Bayesian Multitask Learning , 2003, J. Mach. Learn. Res..
[11] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[12] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[13] Anton Schwaighofer,et al. Learning Gaussian Process Kernels via Hierarchical Bayes , 2004, NIPS.
[14] Neil D. Lawrence,et al. Learning to learn with the informative vector machine , 2004, ICML.
[15] Massimiliano Pontil,et al. Regularized multi--task learning , 2004, KDD.
[16] Lawrence Carin,et al. Logistic regression with an auxiliary data source , 2005, ICML.
[17] Charles A. Micchelli,et al. Learning Multiple Tasks with Kernel Methods , 2005, J. Mach. Learn. Res..
[18] Yiming Yang,et al. Learning Multiple Related Tasks using Latent Independent Component Analysis , 2005, NIPS.
[19] Andreas Krause,et al. Near-optimal sensor placements in Gaussian processes , 2005, ICML.
[20] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[21] Jiawei Han,et al. Document clustering using locality preserving indexing , 2005, IEEE Transactions on Knowledge and Data Engineering.
[22] Andrew Y. Ng,et al. Transfer learning for text classification , 2005, NIPS.
[23] Thomas G. Dietterich,et al. To transfer or not to transfer , 2005, NIPS 2005.
[24] Rajat Raina,et al. Constructing informative priors using transfer learning , 2006, ICML.
[25] Koby Crammer,et al. Learning from Multiple Sources , 2006, NIPS.
[26] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[27] Bernhard Schölkopf,et al. A Kernel Method for the Two-Sample-Problem , 2006, NIPS.
[28] Bernhard Schölkopf,et al. Correcting Sample Selection Bias by Unlabeled Data , 2006, NIPS.
[29] Massimiliano Pontil,et al. Multi-Task Feature Learning , 2006, NIPS.
[30] Raymond J. Mooney,et al. Mapping and Revising Markov Logic Networks for Transfer Learning , 2007, AAAI.
[31] Edwin V. Bonilla,et al. Multi-task Gaussian Process Prediction , 2007, NIPS.
[32] Alexander G. Gray,et al. Fast Nonparametric Conditional Density Estimation , 2007, UAI.
[33] Le Song,et al. A Hilbert Space Embedding for Distributions , 2007, Discovery Science.
[34] Jiebo Luo,et al. Kodak consumer video benchmark data set : concept definition and annotation * * , 2008 .
[35] Volker Tresp,et al. Robust multi-task learning with t-processes , 2007, ICML '07.
[36] Charles A. Micchelli,et al. A Spectral Regularization Framework for Multi-Task Structure Learning , 2007, NIPS.
[37] Stephen Lin,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Benjamin Recht,et al. Random Features for Large-Scale Kernel Machines , 2007, NIPS.
[39] Andreas Krause,et al. Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach , 2007, ICML '07.
[40] Lawrence Carin,et al. Multi-Task Learning for Classification with Dirichlet Process Priors , 2007, J. Mach. Learn. Res..
[41] Massimiliano Pontil,et al. Convex multi-task feature learning , 2008, Machine Learning.
[42] ChengXiang Zhai,et al. Instance Weighting for Domain Adaptation in NLP , 2007, ACL.
[43] Steve Hanneke,et al. A bound on the label complexity of agnostic active learning , 2007, ICML '07.
[44] Koby Crammer,et al. Learning Bounds for Domain Adaptation , 2007, NIPS.
[45] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[46] Mehryar Mohri,et al. Stability of transductive regression algorithms , 2008, ICML '08.
[47] Jean-Philippe Vert,et al. Clustered Multi-Task Learning: A Convex Formulation , 2008, NIPS.
[48] Yishay Mansour,et al. Domain Adaptation with Multiple Sources , 2008, NIPS.
[49] Qiang Yang,et al. Translated Learning: Transfer Learning across Different Feature Spaces , 2008, NIPS.
[50] Wei Fan,et al. Actively Transfer Domain Knowledge , 2008, ECML/PKDD.
[51] Alexander J. Smola,et al. Hilbert space embeddings of conditional distributions with applications to dynamical systems , 2009, ICML '09.
[52] Jieping Ye,et al. A convex formulation for learning shared structures from multiple tasks , 2009, ICML '09.
[53] Peter Stone,et al. Transfer Learning for Reinforcement Learning Domains: A Survey , 2009, J. Mach. Learn. Res..
[54] Karsten M. Borgwardt,et al. Covariate Shift by Kernel Mean Matching , 2009, NIPS 2009.
[55] Yishay Mansour,et al. Domain Adaptation: Learning Bounds and Algorithms , 2009, COLT.
[56] Cristian Sminchisescu,et al. Efficient Match Kernel between Sets of Features for Visual Recognition , 2009, NIPS.
[57] John Langford,et al. Importance weighted active learning , 2008, ICML '09.
[58] Dhanesh Ramachandram,et al. Optimizing Kernel Functions Using Transfer Learning from Unlabeled Data , 2009, 2009 Second International Conference on Machine Vision.
[59] Daumé,et al. Domain Adaptation meets Active Learning , 2010, HLT-NAACL 2010.
[60] Dacheng Tao,et al. Bregman Divergence-Based Regularization for Transfer Subspace Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[61] Jeff G. Schneider,et al. Learning Multiple Tasks with a Sparse Matrix-Normal Penalty , 2010, NIPS.
[62] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[63] Yi Yao,et al. Boosting for transfer learning with multiple sources , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[64] Ivor W. Tsang,et al. Visual Event Recognition in Videos by Learning from Web Data , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[65] Avishek Saha,et al. Active Supervised Domain Adaptation , 2011, ECML/PKDD.
[66] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[67] Jiayu Zhou,et al. A multi-task learning formulation for predicting disease progression , 2011, KDD.
[68] Sethuraman Panchanathan,et al. A Two-Stage Weighting Framework for Multi-Source Domain Adaptation , 2011, NIPS.
[69] Sethuraman Panchanathan,et al. Multi-source domain adaptation and its application to early detection of fatigue , 2011, KDD.
[70] Jiawei Han,et al. A Variance Minimization Criterion to Active Learning on Graphs , 2012, AISTATS.
[71] Bernhard Schölkopf,et al. A Kernel Two-Sample Test , 2012, J. Mach. Learn. Res..
[72] Francis R. Bach,et al. Multi-task regression using minimal penalties , 2011, J. Mach. Learn. Res..
[73] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[74] Roman Garnett,et al. Bayesian Optimal Active Search and Surveying , 2012, ICML.
[75] Rich Caruana,et al. Inductive Transfer for Bayesian Network Structure Learning , 2007, ICML Unsupervised and Transfer Learning.
[76] Sanjiv Singh,et al. Modeling and Calibrating Visual Yield Estimates in Vineyards , 2012, FSR.
[77] Leon Wenliang Zhong,et al. Convex Multitask Learning with Flexible Task Clusters , 2012, ICML.
[78] Sethuraman Panchanathan,et al. Joint Transfer and Batch-mode Active Learning , 2013, ICML.
[79] Tinne Tuytelaars,et al. Unsupervised Visual Domain Adaptation Using Subspace Alignment , 2013, 2013 IEEE International Conference on Computer Vision.
[80] Feiping Nie,et al. Early Active Learning via Robust Representation and Structured Sparsity , 2013, IJCAI.
[81] Massimiliano Pontil,et al. Multilinear Multitask Learning , 2013, ICML.
[82] Massimiliano Pontil,et al. Excess risk bounds for multitask learning with trace norm regularization , 2012, COLT.
[83] Bernhard Schölkopf,et al. Domain Adaptation under Target and Conditional Shift , 2013, ICML.
[84] Barnabás Póczos,et al. Distribution-Free Distribution Regression , 2013, AISTATS.
[85] Barnabás Póczos,et al. Distribution to Distribution Regression , 2013, ICML.
[86] Philip S. Yu,et al. Transfer Feature Learning with Joint Distribution Adaptation , 2013, 2013 IEEE International Conference on Computer Vision.
[87] Philip S. Yu,et al. Transfer across Completely Different Feature Spaces via Spectral Embedding , 2013, IEEE Transactions on Knowledge and Data Engineering.
[88] Roman Garnett,et al. Active search on graphs , 2013, KDD.
[89] Julien Audiffren,et al. Stability of Multi-Task Kernel Regression Algorithms , 2013, ACML.
[90] Philip S. Yu,et al. Transfer Sparse Coding for Robust Image Representation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[91] Howie Choset,et al. Expensive Function Optimization with Stochastic Binary Outcomes , 2013, ICML.
[92] Philip S. Yu,et al. Adaptation Regularization: A General Framework for Transfer Learning , 2014, IEEE Transactions on Knowledge and Data Engineering.
[93] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[94] Philip S. Yu,et al. Transfer Joint Matching for Unsupervised Domain Adaptation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[95] Ming Shao,et al. Generalized Transfer Subspace Learning Through Low-Rank Constraint , 2014, International Journal of Computer Vision.
[96] Jeff G. Schneider,et al. Flexible Transfer Learning under Support and Model Shift , 2014, NIPS.
[97] Jeff G. Schneider,et al. Active Transfer Learning under Model Shift , 2014, ICML.
[98] Han Li,et al. Inferring air pollution by sniffing social media , 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).
[99] Barnabás Póczos,et al. Fast Distribution To Real Regression , 2013, AISTATS.
[100] Rong Jin,et al. Active Learning by Querying Informative and Representative Examples , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[101] Yu Zhang,et al. Multi-Task Learning and Algorithmic Stability , 2015, AAAI.
[102] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[103] Michael I. Jordan,et al. Learning Transferable Features with Deep Adaptation Networks , 2015, ICML.
[104] Jeff G. Schneider,et al. Generalization Bounds for Transfer Learning under Model Shift , 2015, UAI.
[105] Yusen Zhan,et al. Online Transfer Learning in Reinforcement Learning Domains , 2015, AAAI Fall Symposia.
[106] Ling Shao,et al. Transfer Learning for Visual Categorization: A Survey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[107] Zhihui Lai,et al. The L2, 1-norm-based unsupervised optimal feature selection with applications to action recognition , 2016, Pattern Recognit..
[108] Manali Sharma,et al. Evidence-based uncertainty sampling for active learning , 2016, Data Mining and Knowledge Discovery.
[109] Barnabás Póczos,et al. Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems , 2016, IJCAI.
[110] Adrian E. Raftery,et al. Bayesian Model Averaging: A Tutorial , 2016 .
[111] Mohan S. Kankanhalli,et al. Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[112] Lincheng Shen,et al. Transfer learning via linear multi-variable mapping under reinforcement learning framework , 2017, 2017 36th Chinese Control Conference (CCC).
[113] Wai Keung Wong,et al. Low-Rank Embedding for Robust Image Feature Extraction , 2017, IEEE Transactions on Image Processing.
[114] Tom Schaul,et al. Reinforcement Learning with Unsupervised Auxiliary Tasks , 2016, ICLR.
[115] Xuelong Li,et al. Regularized Label Relaxation Linear Regression , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[116] Wai Keung Wong,et al. Robust Latent Subspace Learning for Image Classification , 2018, IEEE Transactions on Neural Networks and Learning Systems.