Transfer Learning

Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Impossibility Theorems for Domain Adaptation AISTATS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Bilinear classifiers for visual recognition NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Subject independent EEG-based BCI decoding NeurIPS 2009 An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis NeurIPS 2008 Domain Adaptation with Multiple Sources NeurIPS 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 Phase transitions for high-dimensional joint support recovery NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 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 Multi-task Gaussian Process Prediction NeurIPS 2007 Multi-Task Learning via Conic Programming NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 Correcting Sample Selection Bias by Unlabeled Data NeurIPS 2006