Transfer Learning

Learning Multiple Tasks using Manifold Regularization NeurIPS 2010 Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NeurIPS 2010 Multitask Learning for Brain-Computer Interfaces AISTATS 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Nonparametric Tree Graphical Models AISTATS 2010 On Spectral Learning JMLR 2010 Posterior Regularization for Structured Latent Variable Models JMLR 2010 Reduced-Rank Hidden Markov Models AISTATS 2010 Bilinear classifiers for visual recognition NeurIPS 2009 Distribution Matching for Transduction NeurIPS 2009 Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 Subject independent EEG-based BCI decoding NeurIPS 2009 Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009 Zero-shot Learning with Semantic Output Codes NeurIPS 2009 Domain Adaptation with Multiple Sources NeurIPS 2008 Learning from Multiple Sources 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 Transfer Learning by Distribution Matching for Targeted Advertising NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 Universal Multi-Task Kernels JMLR 2008 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007