← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Transfer Learning

8078 directly classified papers

Papers per year

Papers

On Spectral Learning JMLR 2010
A Dirty Model for Multi-task Learning NIPS 2010
Co-regularization Based Semi-supervised Domain Adaptation NIPS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
Multitask Learning without Label Correspondences NIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Multitask Learning for Brain-Computer Interfaces AISTATS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Nonparametric Tree Graphical Models AISTATS 2010
Factorized Latent Spaces with Structured Sparsity NIPS 2010
Reduced-Rank Hidden Markov Models AISTATS 2010
Posterior Regularization for Structured Latent Variable Models JMLR 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Evolving Static Representations for Task Transfer JMLR 2010
Bayesian variable order Markov models AISTATS 2010
Large Margin Multi-Task Metric Learning NIPS 2010
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
Subject independent EEG-based BCI decoding NIPS 2009
Distribution Matching for Transduction NIPS 2009
Bilinear classifiers for visual recognition NIPS 2009
Zero-shot Learning with Semantic Output Codes NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009
Transfer Learning for Reinforcement Learning Domains: A Survey JMLR 2009
Learning from Multiple Sources JMLR 2008
Domain Adaptation with Multiple Sources NIPS 2008