conftrace_
← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Transfer Learning

8,166 papers

Papers per year

3
16
40
720
1260
'05
'10
'15
'20
'25

Papers

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
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison NIPS 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
Transfer from Multiple MDPs NIPS 2011
TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011
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