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Transfer Learning

8078 directly classified papers

Papers per year

Papers

Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008
Transfer Learning by Distribution Matching for Targeted Advertising NIPS 2008
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008
Universal Multi-Task Kernels JMLR 2008
Learning from Multiple Sources JMLR 2008
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning RSS 2007
Online Learning of Multiple Tasks with a Shared Loss JMLR 2007
Learning omnidirectional path following using dimensionality reduction RSS 2007
Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007
Learning Bounds for Domain Adaptation NIPS 2007
Multi-task Gaussian Process Prediction NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning JMLR 2007
Learning from Multiple Sources NIPS 2006
Bounds for Linear Multi-Task Learning JMLR 2006
Multi-Task Feature Learning NIPS 2006
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NIPS 2006
Mixture Regression for Covariate Shift NIPS 2006
Learning Multiple Tasks with Kernel Methods JMLR 2005
Algorithmic Stability and Meta-Learning JMLR 2005
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data JMLR 2005