transfer learning

Domain Adaptation with Multiple Sources NeurIPS 2008 Learning from Multiple Sources JMLR 2008 Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008 Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008 Optimization on a Budget: A Reinforcement Learning Approach NeurIPS 2008 Phase transitions for high-dimensional joint support recovery NeurIPS 2008 Transfer Learning by Distribution Matching for Targeted Advertising NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007 Gaussian Process Models for Link Analysis and Transfer Learning NeurIPS 2007 Learning Bounds for Domain Adaptation NeurIPS 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 Learning from Multiple Sources 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 Task Clustering and Gating for Bayesian Multitask Learning JMLR 2003