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Transfer Learning

8,158 papers

Papers per year

3
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Papers

A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning AISTATS 2011
Online Learning of Multiple Tasks and Their Relationships AISTATS 2011
Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011
Learning Transformation Models for Ranking and Survival Analysis JMLR 2011
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
A Dirty Model for Multi-task Learning NIPS 2010
Large Margin Multi-Task Metric Learning NIPS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Co-regularization Based Semi-supervised Domain Adaptation NIPS 2010
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Factorized Latent Spaces with Structured Sparsity NIPS 2010
Multitask Learning without Label Correspondences NIPS 2010
Multitask Learning for Brain-Computer Interfaces AISTATS 2010
Bayesian variable order Markov models AISTATS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Reduced-Rank Hidden Markov Models AISTATS 2010
Nonparametric Tree Graphical Models AISTATS 2010
Multi-Task Learning using Generalized t Process AISTATS 2010
On Spectral Learning JMLR 2010
Evolving Static Representations for Task Transfer JMLR 2010
Posterior Regularization for Structured Latent Variable Models JMLR 2010
Bilinear classifiers for visual recognition NIPS 2009
Zero-shot Learning with Semantic Output Codes NIPS 2009
Distribution Matching for Transduction NIPS 2009
Heterogeneous multitask learning with joint sparsity constraints NIPS 2009