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Transfer Learning

4,848 papers

Papers per year

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Papers

Multi-task Regression using Minimal Penalties JMLR 2012
Co-Training for Domain Adaptation NIPS 2011
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
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NIPS 2011
Blending Autonomous Exploration and Apprenticeship Learning NIPS 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery NIPS 2011
Transfer from Multiple MDPs NIPS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
Domain Adaptation with Coupled Subspaces AISTATS 2011
Relational Learning with One Network: An Asymptotic Analysis AISTATS 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
Impossibility Theorems for Domain Adaptation AISTATS 2010
Infinite Predictor Subspace Models for Multitask Learning AISTATS 2010
Bilinear classifiers for visual recognition NIPS 2009
Distribution Matching for Transduction NIPS 2009