Discriminability-Based Transfer between Neural Networks

A Bayesian/Information Theoretic Model of Learning to Learn viaMultiple Task Sampling

Machine Learning - Special issue on inductive transfer

CHILD: A First Step Towards Continual Learning

Machine Learning - Special issue on inductive transfer

On the emergence of rules in neural networks

Neural Computation

Task clustering and gating for bayesian multitask learning

The Journal of Machine Learning Research

On universal transfer learning

Theoretical Computer Science

A model of inductive bias learning

Journal of Artificial Intelligence Research

Selective transfer of task knowledge using stochastic noise

AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence

Image transformation: inductive transfer between multiple tasks having multiple outputs

Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence

Genetic transfer learning

Expert Systems with Applications: An International Journal

Transferring and retraining learned information filters

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

Collaborative ensemble learning: combining collaborative and content-based information filtering via hierarchical bayes

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence