Transfer Learning

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007 Learning omnidirectional path following using dimensionality reduction RSS 2007 Multi-task Gaussian Process Prediction NeurIPS 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Online Learning of Multiple Tasks with a Shared Loss JMLR 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 Transfer Learning via Inter-Task Mappings for Temporal Difference Learning JMLR 2007 Bounds for Linear Multi-Task Learning JMLR 2006 Correcting Sample Selection Bias by Unlabeled Data NeurIPS 2006 Learning from Multiple Sources NeurIPS 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Multi-Task Feature Learning NeurIPS 2006 Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NeurIPS 2006 A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005 Algorithmic Stability and Meta-Learning JMLR 2005 Learning Multiple Tasks with Kernel Methods JMLR 2005 Task Clustering and Gating for Bayesian Multitask Learning JMLR 2003 Evaluating Translational Correspondence using Annotation Projection ACL 2002 Learning Probabilistic Models of Link Structure JMLR 2002