Transfer Learning

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NeurIPS 2012 A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping AISTATS 2012 Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Learning with Target Prior NeurIPS 2012 Movement Segmentation and Recognition for Imitation Learning AISTATS 2012 Multi-task Regression using Minimal Penalties JMLR 2012 Multi-task Vector Field Learning NeurIPS 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Using More Data to Speed-up Training Time AISTATS 2012 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 Blending Autonomous Exploration and Apprenticeship Learning NeurIPS 2011 Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NeurIPS 2011 Co-Training for Domain Adaptation NeurIPS 2011 Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011 Domain Adaptation with Coupled Subspaces AISTATS 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 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 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