← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Transfer Learning

8078 directly classified papers

Papers per year

Papers

Multi-Stage Multi-Task Feature Learning NIPS 2012
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
Learning Multiple Tasks using Shared Hypotheses NIPS 2012
Multi-task Vector Field Learning NIPS 2012
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NIPS 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NIPS 2012
Learning curves for multi-task Gaussian process regression NIPS 2012
Transfer in Reinforcement Learning via Shared Features JMLR 2012
Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies JMLR 2012
Integrating a Partial Model into Model Free Reinforcement Learning JMLR 2012
Learning Transformation Models for Ranking and Survival Analysis JMLR 2011
Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NIPS 2011
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NIPS 2011
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NIPS 2011
Sparse Bayesian Multi-Task Learning NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison NIPS 2011
Online Learning of Multiple Tasks and Their Relationships AISTATS 2011
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Transfer from Multiple MDPs NIPS 2011