Transfer Learning

Transfer in Reinforcement Learning via Shared Features JMLR 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 Blending Autonomous Exploration and Apprenticeship Learning NeurIPS 2011 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NeurIPS 2011 In All Likelihood, Deep Belief Is Not Enough JMLR 2011 Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011 Learning Transformation Models for Ranking and Survival Analysis JMLR 2011 Online Learning of Multiple Tasks and Their Relationships AISTATS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Transfer from Multiple MDPs NeurIPS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 A Dirty Model for Multi-task Learning NeurIPS 2010 Bayesian variable order Markov models AISTATS 2010 Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Evolving Static Representations for Task Transfer JMLR 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010