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Transfer Learning

1113 directly classified papers

Papers per year

Papers

Active Transfer Learning under Model Shift ICML 2014
Continuous Manifold Based Adaptation for Evolving Visual Domains CVPR 2014
LSDA: Large Scale Detection through Adaptation NIPS 2014
Multitask learning meets tensor factorization: task imputation via convex optimization NIPS 2014
Learning to Search in Branch and Bound Algorithms NIPS 2014
Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014
Predicting Useful Neighborhoods for Lazy Local Learning NIPS 2014
Transfer Learning in a Transductive Setting NIPS 2013
Inductive Hashing on Manifolds CVPR 2013
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation CVPR 2013
Inverse Density as an Inverse Problem: the Fredholm Equation Approach NIPS 2013
Discriminative Transfer Learning with Tree-based Priors NIPS 2013
Parametric Task Learning NIPS 2013
From N to N+1: Multiclass Transfer Incremental Learning CVPR 2013
Reward Mapping for Transfer in Long-Lived Agents NIPS 2013
Learning Feature Selection Dependencies in Multi-task Learning NIPS 2013
From Semi-supervised to Transfer Counting of Crowds ICCV 2013
Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person ICCV 2013
A Practical Transfer Learning Algorithm for Face Verification ICCV 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013
Transportability from Multiple Environments with Limited Experiments NIPS 2013
Robust Transfer Principal Component Analysis with Rank Constraints NIPS 2013
Stability and Hypothesis Transfer Learning ICML 2013
Robust and Discriminative Self-Taught Learning ICML 2013