← Learning Types
Machine Learning › Learning Types ›

Transfer Learning

3884 directly classified papers

Papers per year

Papers

Transportability from Multiple Environments with Limited Experiments: Completeness Results NIPS 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ICML 2014
Inverse Density as an Inverse Problem: the Fredholm Equation Approach NIPS 2013
Transfer Sparse Coding for Robust Image Representation CVPR 2013
Adding Unlabeled Samples to Categories by Learned Attributes CVPR 2013
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation CVPR 2013
Transportability from Multiple Environments with Limited Experiments NIPS 2013
A Novel Two-Step Method for Cross Language Representation Learning NIPS 2013
Sequential Transfer in Multi-armed Bandit with Finite Set of Models NIPS 2013
Complex Event Detection via Multi-source Video Attributes CVPR 2013
Selective Transfer Machine for Personalized Facial Action Unit Detection CVPR 2013
Reward Mapping for Transfer in Long-Lived Agents NIPS 2013
Sparse coding for multitask and transfer learning ICML 2013
Robust Transfer Principal Component Analysis with Rank Constraints NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013
Multiple-source cross-validation ICML 2013
Unsupervised Domain Adaptation by Domain Invariant Projection ICCV 2013
Manifold Based Face Synthesis from Sparse Samples ICCV 2013
Unsupervised Visual Domain Adaptation Using Subspace Alignment ICCV 2013
Cross-View Action Recognition over Heterogeneous Feature Spaces ICCV 2013
Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias ICCV 2013
Adapting Classification Cascades to New Domains ICCV 2013
Predicting an Object Location Using a Global Image Representation ICCV 2013
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013