List of Conferences and Workshops Where Transfer Learning Paper Appear

This webpage will be updated regularly.

Main Conferences

Machine Learning and Artificial Intelligence Conferences

AAAI

2008

Transfer Learning via Dimensionality Reduction  [Link]  [Bibtex]

Transferring Localization Models across Space  [Link]  [Bibtex]

Transferring Localization Models over Time  [Link]  [Bibtex]

Transferring Multi-device Localization Models using Latent Multi-task Learning  [Link]  [Bibtex]

Text Categorization with Knowledge Transfer from Heterogeneous Data Sources  [Link]  [Bibtex]

Zero-data Learning of New Tasks  [Link]  [Bibtex]

2007

Transferring Naive Bayes Classifiers for Text Classification  [Link]  [Bibtex]

Mapping and Revising Markov Logic Networks for Transfer Learning  [Link]  [Bibtex]

Measuring the Level of Transfer Learning by an AP Physics Problem-Solver  [Link]  [Bibtex]

2006

Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains  [Link]  [Bibtex]

Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping  [Link]  [Bibtex]

IJCAI

2009

Transfer Learning Using Task-Level Features with Application to Information Retrieval  [Link]  [Bibtex]

Transfer Learning from Minimal Target Data by Mapping across Relational Domains  [Link]  [Bibtex]

Domain Adaptation via Transfer Component Analysis  [Link]  [Bibtex]

Knowledge Transfer on Hybrid Graph  [Link]  [Bibtex]

Manifold Alignment without Correspondence  [Link]  [Bibtex]

Robust Distance Metric Learning with Auxiliary Knowledge  [Link]  [Bibtex]

Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction  [Link]  [Bibtex]

Exponential Family Sparse Coding with Application to Self-taught Learning  [Link]  [Bibtex]

2007

Learning and Transferring Action Schemas  [Link]  [Bibtex]

General Game Learning Using Knowledge Transfer  [Link]  [Bibtex]

Building Portable Options: Skill Transfer in Reinforcement Learning  [Link]  [Bibtex]

Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL  [Link]  [Bibtex]

An Experts Algorithm for Transfer Learning  [Link]  [Bibtex]

Transferring Learned Control-Knowledge between Planners  [Link]  [Bibtex]

Effective Control Knowledge Transfer through Learning Skill and Representation Hierarchies  [Link]  [Bibtex]

Efficient Bayesian Task-Level Transfer Learning  [Link]  [Bibtex]

ICML

2009

Deep Transfer via Second-Order Markov Logic  [Link]  [Bibtex]

Feature Hashing for Large Scale Multitask Learning  [Link]  [Bibtex]

A Convex Formulation for Learning Shared Structures from Multiple Tasks  [Link]  [Bibtex]

EigenTransfer: A Unified Framework for Transfer Learning  [Link]  [Bibtex]

Domain Adaptation from Multiple Sources via Auxiliary Classifiers  [Link]  [Bibtex]

Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model  [Link]  [Bibtex]

2008

Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer  [Link]  [Bibtex]

Multi-Task Learning for HIV Therapy Screening  [Link]  [Bibtex]

Self-taught Clustering  [Link]  [Bibtex]

Manifold Alignment using Procrustes Analysis  [Link]  [Bibtex]

Automatic Discovery and Transfer of MAXQ Hierarchies  [Link]  [Bibtex]

Transfer of Samples in Batch Reinforcement Learning  [Link]  [Bibtex]

Hierarchical Kernel Stick-Breaking Process for Multi-Task Image Analysis  [Link]  [Bibtex]

Multi-Task Compressive Sensing with Dirichlet Process Priors  [Link]  [Bibtex]

A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning  [Link]  [Bibtex]

2007

Boosting for Transfer Learning  [Link]  [Bibtex]

Self-taught Learning: Transfer Learning from Unlabeled Data  [Link]  [Bibtex]

Robust Multi-Task Learning with t-Processes  [Link]  [Bibtex]

Multi-Task Learning for Sequential Data via iHMMs and the Nested Dirichlet Process  [Link]  [Bibtex]

Cross-Domain Transfer for Reinforcement Learning  [Link]  [Bibtex]

Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks  [Link]  [Bibtex]

Multi-Task Reinforcement Learning: A Hierarchical Bayesian Approach  [Link]  [Bibtex]

The Matrix Stick-Breaking Process for Flexible Multi-Task Learning  [Link]  [Bibtex]

Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different  [Link]  [Bibtex]

Discriminative Learning for Differing Training and Test Distributions  [Link]  [Bibtex]

2006

Autonomous Shaping: Knowledge Transfer in Reinforcement Learning  [Link]  [Bibtex]

Constructing Informative Priors using Transfer Learning  [Link]  [Bibtex]

NIPS

2008

Clustered Multi-Task Learning: A Convex Formulation  [Link]  [Bibtex]

Multi-task Gaussian Process Learning of Robot Inverse Dynamics  [Link]  [Bibtex]

Transfer Learning by Distribution Matching for Targeted Advertising  [Link]  [Bibtex]

Translated Learning: Transfer Learning across Different Feature Spaces  [Link]  [Bibtex]

An empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis  [Link]  [Bibtex]

Domain Adaptation with Multiple Sources  [Link]  [Bibtex]

2007

Learning Bounds for Domain Adaptation  [Link]  [Bibtex]

Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations  [Link]  [Bibtex]

A Spectral Regularization Framework for Multi-Task Structure Learning  [Link]  [Bibtex]

Multi-task Gaussian Process Prediction  [Link]  [Bibtex]

Semi-Supervised Multitask Learning  [Link]  [Bibtex]

Gaussian Process Models for Link Analysis and Transfer Learning  [Link]  [Bibtex]

Multi-Task Learning via Conic Programming  [Link]  [Bibtex]

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation  [Link]  [Bibtex]

2006

Correcting Sample Selection Bias by Unlabeled Data  [Link]  [Bibtex]

Dirichlet-Enhanced Spam Filtering based on Biased Samples  [Link]  [Bibtex]

Analysis of Representations for Domain Adaptation  [Link]  [Bibtex]

Multi-Task Feature Learning  [Link]  [Bibtex]

AISTAT

2009

A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation  [Link]  [Bibtex]

2007

Kernel Multi-task Learning using Task-specific Features  [Link]  [Bibtex]

Inductive Transfer for Bayesian Network Structure Learning  [Link]  [Bibtex]

ECML/PKDD

2009

Relaxed Transfer of Different Classes via Spectral Partition  [Link]  [Bibtex]

Feature Selection by Transfer Learning with Linear Regularized Models  [Link]  [Bibtex]

Semi-Supervised Multi-Task Regression  [Link]  [Bibtex]

2008

Actively Transfer Domain Knowledge  [Link]  [Bibtex]

An Algorithm for Transfer Learning in a Heterogeneous Environment  [Link]  [Bibtex]

Transferred Dimensionality Reduction  [Link]  [Bibtex]

Modeling Transfer Relationships between Learning Tasks for Improved Inductive Transfer  [Link]  [Bibtex]

Kernel-Based Inductive Transfer  [Link]  [Bibtex]

2007

Graph-Based Domain Mapping for Transfer Learning in General Games  [Link]  [Bibtex]

Bridged Refinement for Transfer Learning  [Link]  [Bibtex]

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling  [Link]  [Bibtex]

Domain Adaptation of Conditional Probability Models via Feature Subsetting  [Link]  [Bibtex]

2006

Skill Acquisition via Transfer Learning and Advice Taking  [Link]  [Bibtex]

COLT

2009

Online Multi-task Learning with Hard Constraints  [Link]  [Bibtex]

Taking Advantage of Sparsity in Multi-Task Learning  [Link]  [Bibtex]

Domain Adaptation: Learning Bounds and Algorithms  [Link]  [Bibtex]

2008

Learning coordinate gradients with multi-task kernels  [Link]  [Bibtex]

Linear Algorithms for Online Multitask Classification  [Link]  [Bibtex]

2007

Multitask Learning with Expert Advice  [Link]  [Bibtex]

2006

Online Multitask Learning  [Link]  [Bibtex]

UAI

2009

Bayesian Multitask Learning with Latent Hierarchies  [Link]  [Bibtex]

Multi-Task Feature Learning Via Efficient L2,1-Norm Minimization  [Link]  [Bibtex]

2008

Convex Point Estimation using Undirected Bayesian Transfer Hierarchies  [Link]  [Bibtex]

Data Mining Conferences

KDD

2009

Cross Domain Distribution Adaptation via Kernel Mapping  [Link]  [Bibtex]

Extracting Discriminative Concepts for Domain Adaptation in Text Mining  [Link]  [Bibtex]

2008

Spectral domain-transfer learning  [Link]  [Bibtex]

Knowledge transfer via multiple model local structure mapping  [Link]  [Bibtex]

2007

Co-clustering based Classification for Out-of-domain Documents  [Link]  [Bibtex]

2006

Reverse Testing: An Efficient Framework to Select Amongst Classifiers under Sample Selection Bias  [Link]  [Bibtex]

ICDM

2008

Unsupervised Cross-domain Learning by Interaction Information Co-clustering  [Link]  [Bibtex]

Using Wikipedia for Co-clustering Based Cross-domain Text Classification  [Link]  [Bibtex]

SDM

2008

Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing  [Link]  [Bibtex]

Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation  [Link]  [Bibtex]

2007

On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples  [Link]  [Bibtex]

Probabilistic Joint Feature Selection for Multi-task Learning  [Link]  [Bibtex]

Application Conferences

SIGIR

2009

Mining Employment Market via Text Block Detection and Adaptive Cross-Domain Information Extraction  [Link]  [Bibtex]

Knowledge transformation for cross-domain sentiment classification  [Link]  [Bibtex]

2008

Topic-bridged PLSA for cross-domain text classification  [Link]  [Bibtex]

2007

Cross-Lingual Query Suggestion Using Query Logs of Different Languages  [Link]  [Bibtex]

2006

Tackling Concept Drift by Temporal Inductive Transfer  [Link]  [Bibtex]

Constructing Informative Prior Distributions from Domain Knowledge in Text Classification  [Link]  [Bibtex]

Building Bridges for Web Query Classification  [Link]  [Bibtex]

WWW

2009

Latent Space Domain Transfer between High Dimensional Overlapping Distributions  [Link]  [Bibtex]

2008

Can Chinese web pages be classified with English data source?  [Link]  [Bibtex]

ACL

2009

Transfer Learning, Feature Selection and Word Sense Disambiguation  [Link]  [Bibtex]

Graph Ranking for Sentiment Transfer  [Link]  [Bibtex]

Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction  [Link]  [Bibtex]

Cross-Domain Dependency Parsing Using a Deep Linguistic Grammar  [Link]  [Bibtex]

Heterogeneous Transfer Learning for Image Clustering via the SocialWeb  [Link]  [Bibtex]

2008

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition  [Link]  [Bibtex]

Multi-domain Sentiment Classification  [Link]  [Bibtex]

Active Sample Selection for Named Entity Transliteration  [Link]  [Bibtex]

Mining Wiki Resources for Multilingual Named Entity Recognition  [Link]  [Bibtex]

Multi-Task Active Learning for Linguistic Annotations  [Link]  [Bibtexs]

2007

Domain Adaptation with Active Learning for Word Sense Disambiguation  [Link]  [Bibtex]

Frustratingly Easy Domain Adaptation  [Link]  [Bibtex]

Instance Weighting for Domain Adaptation in NLP  [Link]  [Bibtex]

Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification  [Link]  [Bibtex]

Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets  [Link]  [Bibtex]

2006

Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation  [Link]  [Bibtex]

Simultaneous English-Japanese Spoken Language Translation Based on Incremental Dependency Parsing and Transfer  [Link]  [Bibtex]

CVPR

2009

Domain Transfer SVM for Video Concept Detection  [Link]  [Bibtex]

Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search  [Link]  [Bibtex]

2008

Transfer Learning for Image Classification with Sparse Prototype Representations  [Link]  [Bibtex]

Workshops

NIPS 2005 Workshop - Inductive Transfer: 10 Years Later

NIPS 2005 Workshop - Interclass Transfer

NIPS 2006 Workshop - Learning when test and training inputs have different distributions

AAAI 2008 Workshop - Transfer Learning for Complex Tasks