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Transfer Learning

1113 directly classified papers

Papers per year

Papers

Joint Transfer and Batch-mode Active Learning ICML 2013
Multi-task Regression using Minimal Penalties JMLR 2012
A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NIPS 2012
Generalization Bounds for Domain Adaptation NIPS 2012
Multi-task Vector Field Learning NIPS 2012
Using More Data to Speed-up Training Time AISTATS 2012
Learning with Target Prior NIPS 2012
Learning Multiple Tasks using Shared Hypotheses NIPS 2012
Transferring Expectations in Model-based Reinforcement Learning NIPS 2012
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NIPS 2011
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NIPS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NIPS 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty NIPS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Multitask Learning without Label Correspondences NIPS 2010
Large Margin Multi-Task Metric Learning NIPS 2010
Factorized Latent Spaces with Structured Sparsity NIPS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Bilinear classifiers for visual recognition NIPS 2009
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008