A Survey on Transfer Learning

Statistical Learning Theory

1999 • 27,709 citations

Untitled

1997 • 5,539 citations

Combining labeled and unlabeled data with co-training

1998 • 5,524 citations

Top 10 algorithms in data mining

2007 • 5,420 citations

Semi-Supervised Learning Literature Survey

2005 • 3,941 citations

Untitled

2000 • 2,763 citations

Transductive Inference for Text Classification using Support Vector Machines

1999 • 2,714 citations

Markov logic networks

2006 • 2,690 citations

Efficient sparse coding algorithms

2007 • 2,403 citations

Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification

2007 • 2,008 citations

Analysis of Representations for Domain Adaptation

2007 • 1,830 citations

Boosting for transfer learning

2007 • 1,646 citations

Domain adaptation with structural correspondence learning

2006 • 1,606 citations

Improving predictive inference under covariate shift by weighting the log-likelihood function

2000 • 1,591 citations

Self-taught learning

2007 • 1,522 citations

Correcting Sample Selection Bias by Unlabeled Data

2007 • 1,512 citations

Regularized multi--task learning

2004 • 1,483 citations

Multi-Task Feature Learning

2007 • 1,406 citations

Dataset Shift in Machine Learning

2008 • 1,404 citations

Frustratingly Easy Domain Adaptation

2009 • 1,403 citations

Multitask learning

1998 • 1,180 citations

10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

2006 • 898 citations

Multi-task Gaussian Process Prediction

2007 • 861 citations

Domain Adaptation for Statistical Classifiers

2006 • 847 citations

Learning and evaluating classifiers under sample selection bias

2004 • 805 citations

Instance Weighting for Domain Adaptation in NLP

2007 • 783 citations

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation

2007 • 661 citations

Transfer learning via dimensionality reduction

2008 • 603 citations

Frustratingly Easy Domain Adaptation

2007 • 508 citations

Exploiting Task Relatedness for Multiple Task Learning

2003 • 451 citations

Correcting sample selection bias by unlabeled data

2007 • 436 citations

Learning Bounds for Domain Adaptation

2007 • 398 citations

To transfer or not to transfer

2005 • 386 citations

Discriminative learning for differing training and test distributions

2007 • 384 citations

Learning to learn with the informative vector machine

2004 • 341 citations

Can movies and books collaborate?: cross-domain collaborative filtering for sparsity reduction

2009 • 334 citations

Co-clustering based classification for out-of-domain documents

2007 • 332 citations

Transfer learning for collaborative filtering via a rating-matrix generative model

2009 • 329 citations

Knowledge transfer via multiple model local structure mapping

2008 • 327 citations

Transferring naive bayes classifiers for text classification

2007 • 304 citations

Constructing informative priors using transfer learning

2006 • 300 citations

Improving SVM accuracy by training on auxiliary data sources

2004 • 293 citations

Mapping and revising Markov logic networks for transfer learning

2007 • 272 citations

Manifold alignment using Procrustes analysis

2008 • 255 citations

Multi-task feature and kernel selection for SVMs

2004 • 229 citations

Deep transfer via second-order Markov logic

2009 • 224 citations

A Spectral Regularization Framework for Multi-Task Structure Learning

2007 • 224 citations

Text classification without negative examples revisit

2006 • 221 citations

A high-performance semi-supervised learning method for text chunking

2005 • 221 citations

Self-taught clustering

2008 • 220 citations

A Comparative Study of Methods for Transductive Transfer Learning

2007 • 213 citations

Cross-domain transfer for reinforcement learning

2007 • 211 citations

Logistic regression with an auxiliary data source

2005 • 199 citations

Topic-bridged PLSA for cross-domain text classification

2008 • 188 citations

A Comparative Study of Methods for Transductive Transfer Learning

2007 • 187 citations

Learning Gaussian Process Kernels via Hierarchical Bayes

2004 • 174 citations

Adaptive Temporal Radio Maps for Indoor Location Estimation

2005 • 166 citations

Learning a meta-level prior for feature relevance from multiple related tasks

2007 • 165 citations

Classifier Ensembles with a Random Linear Oracle

2007 • 158 citations

Bayesian multiple instance learning

2008 • 137 citations

Spectral domain-transfer learning

2008 • 132 citations

Actively Transfer Domain Knowledge

2008 • 130 citations

Can chinese web pages be classified with english data source?

2008 • 123 citations

Domain adaptation via transfer component analysis

2009 • 114 citations

Transferred Dimensionality Reduction

2008 • 112 citations

A Lazy Approach to Associative Classification

2008 • 111 citations

A New Text Categorization Technique Using Distributional Clustering and Learning Logic

2006 • 107 citations

Adaptive localization in a dynamic WiFi environment through multi-view learning

2007 • 103 citations

Estimating Location Using Wi-Fi

2008 • 96 citations

Efficient classification across multiple database relations: a CrossMine approach

2006 • 96 citations

Transferring localization models over time

2008 • 91 citations

Transferring multi-device localization models using latent multi-task learning

2008 • 87 citations

An Algorithm for Transfer Learning in a Heterogeneous Environment

2008 • 84 citations

Transfer learning for WiFi-based indoor localization

2008 • 82 citations

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling

2007 • 75 citations

Transfer Learning by Mapping with Minimal Target Data

2008 • 74 citations

Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer

2008 • 69 citations

Graph-Based Domain Mapping for Transfer Learning in General Games

2007 • 69 citations

Test-cost sensitive classification on data with missing values

2006 • 67 citations

Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study

2007 • 66 citations

An Improved Categorization of Classifier’s Sensitivity on Sample Selection Bias

2006 • 64 citations

Transferring localization models across space

2008 • 63 citations

Bridged Refinement for Transfer Learning

2007 • 59 citations

Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations

2007 • 53 citations

Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering

2006 • 49 citations

Kernel-Based Inductive Transfer

2008 • 41 citations

Theory Refinement of Bayesian Networks with Hidden Variables

1998 • 25 citations

Transferring Knowledge from Another Domain for Learning Action Models

2008 • 18 citations

Deleted Work

1955 • 0 citations