← Learning Types
Machine Learning › Learning Types ›

Transfer Learning

3884 directly classified papers

Papers per year

Papers

Supervised Learning for Dynamical System Learning NIPS 2015
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning CVPR 2015
Learning Using Privileged Information: Similarity Control and Knowledge Transfer JMLR 2015
Deep Transfer Metric Learning CVPR 2015
Web-Scale Training for Face Identification CVPR 2015
Zero-Shot Object Recognition by Semantic Manifold Distance CVPR 2015
Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach CVPR 2015
Classifier Adaptation at Prediction Time CVPR 2015
Lifelong Learning with Non-i.i.d. Tasks NIPS 2015
Curriculum Learning of Multiple Tasks CVPR 2015
Learning With Dataset Bias in Latent Subcategory Models CVPR 2015
Largest Source Subset Selection for Instance Transfer ACML 2015
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition ICCV 2015
LSDA: Large Scale Detection through Adaptation NIPS 2014
Heterogeneous Domain Adaptation for Multiple Classes AISTATS 2014
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning CVPR 2014
A PAC-Bayesian bound for Lifelong Learning ICML 2014
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks ICML 2014
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification ICML 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ICML 2014
Scalable Multitask Representation Learning for Scene Classification CVPR 2014
Learning Deep Features for Scene Recognition using Places Database NIPS 2014
Flexible Transfer Learning under Support and Model Shift NIPS 2014
Transportability from Multiple Environments with Limited Experiments: Completeness Results NIPS 2014