List of Conferences and Workshops Where Transfer Learning Paper AppearThis webpage will be updated regularly.
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Main Conferences
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Machine Learning and Artificial Intelligence Conferences
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AAAI
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2008
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Transfer Learning via Dimensionality Reduction [Link] [Bibtex]
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Transferring Localization Models across Space [Link] [Bibtex]
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Transferring Localization Models over Time [Link] [Bibtex]
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Transferring Multi-device Localization Models using Latent Multi-task Learning [Link] [Bibtex]
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Text Categorization with Knowledge Transfer from Heterogeneous Data Sources [Link] [Bibtex]
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Zero-data Learning of New Tasks [Link] [Bibtex]
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2007
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Transferring Naive Bayes Classifiers for Text Classification [Link] [Bibtex]
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Mapping and Revising Markov Logic Networks for Transfer Learning [Link] [Bibtex]
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Measuring the Level of Transfer Learning by an AP Physics Problem-Solver [Link] [Bibtex]
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2006
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Using Homomorphisms to Transfer Options across Continuous Reinforcement Learning Domains [Link] [Bibtex]
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Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping [Link] [Bibtex]
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IJCAI
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2009
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Transfer Learning Using Task-Level Features with Application to Information Retrieval [Link] [Bibtex]
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Transfer Learning from Minimal Target Data by Mapping across Relational Domains [Link] [Bibtex]
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Domain Adaptation via Transfer Component Analysis [Link] [Bibtex]
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Knowledge Transfer on Hybrid Graph [Link] [Bibtex]
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Manifold Alignment without Correspondence [Link] [Bibtex]
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Robust Distance Metric Learning with Auxiliary Knowledge [Link] [Bibtex]
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Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction [Link] [Bibtex]
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Exponential Family Sparse Coding with Application to Self-taught Learning [Link] [Bibtex]
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2007
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Learning and Transferring Action Schemas [Link] [Bibtex]
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General Game Learning Using Knowledge Transfer [Link] [Bibtex]
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Building Portable Options: Skill Transfer in Reinforcement Learning [Link] [Bibtex]
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Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL [Link] [Bibtex]
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An Experts Algorithm for Transfer Learning [Link] [Bibtex]
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Transferring Learned Control-Knowledge between Planners [Link] [Bibtex]
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Effective Control Knowledge Transfer through Learning Skill and Representation Hierarchies [Link] [Bibtex]
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Efficient Bayesian Task-Level Transfer Learning [Link] [Bibtex]
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ICML
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2009
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Deep Transfer via Second-Order Markov Logic [Link] [Bibtex]
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Feature Hashing for Large Scale Multitask Learning [Link] [Bibtex]
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A Convex Formulation for Learning Shared Structures from Multiple Tasks [Link] [Bibtex]
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EigenTransfer: A Unified Framework for Transfer Learning [Link] [Bibtex]
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Domain Adaptation from Multiple Sources via Auxiliary Classifiers [Link] [Bibtex]
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Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model [Link] [Bibtex]
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2008
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Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer [Link] [Bibtex]
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Multi-Task Learning for HIV Therapy Screening [Link] [Bibtex]
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Self-taught Clustering [Link] [Bibtex]
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Manifold Alignment using Procrustes Analysis [Link] [Bibtex]
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Automatic Discovery and Transfer of MAXQ Hierarchies [Link] [Bibtex]
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Transfer of Samples in Batch Reinforcement Learning [Link] [Bibtex]
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Hierarchical Kernel Stick-Breaking Process for Multi-Task Image Analysis [Link] [Bibtex]
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Multi-Task Compressive Sensing with Dirichlet Process Priors [Link] [Bibtex]
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A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning [Link] [Bibtex]
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2007
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Boosting for Transfer Learning [Link] [Bibtex]
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Self-taught Learning: Transfer Learning from Unlabeled Data [Link] [Bibtex]
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Robust Multi-Task Learning with t-Processes [Link] [Bibtex]
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Multi-Task Learning for Sequential Data via iHMMs and the Nested Dirichlet Process [Link] [Bibtex]
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Cross-Domain Transfer for Reinforcement Learning [Link] [Bibtex]
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Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks [Link] [Bibtex]
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Multi-Task Reinforcement Learning: A Hierarchical Bayesian Approach [Link] [Bibtex]
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The Matrix Stick-Breaking Process for Flexible Multi-Task Learning [Link] [Bibtex]
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Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different [Link] [Bibtex]
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Discriminative Learning for Differing Training and Test Distributions [Link] [Bibtex]
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2006
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Autonomous Shaping: Knowledge Transfer in Reinforcement Learning [Link] [Bibtex]
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Constructing Informative Priors using Transfer Learning [Link] [Bibtex]
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NIPS
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2008
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Clustered Multi-Task Learning: A Convex Formulation [Link] [Bibtex]
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Multi-task Gaussian Process Learning of Robot Inverse Dynamics [Link] [Bibtex]
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Transfer Learning by Distribution Matching for Targeted Advertising [Link] [Bibtex]
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Translated Learning: Transfer Learning across Different Feature Spaces [Link] [Bibtex]
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An empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis [Link] [Bibtex]
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Domain Adaptation with Multiple Sources [Link] [Bibtex]
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2007
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Learning Bounds for Domain Adaptation [Link] [Bibtex]
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Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations [Link] [Bibtex]
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A Spectral Regularization Framework for Multi-Task Structure Learning [Link] [Bibtex]
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Multi-task Gaussian Process Prediction [Link] [Bibtex]
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Semi-Supervised Multitask Learning [Link] [Bibtex]
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Gaussian Process Models for Link Analysis and Transfer Learning [Link] [Bibtex]
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Multi-Task Learning via Conic Programming [Link] [Bibtex]
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Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation [Link] [Bibtex]
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2006
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Correcting Sample Selection Bias by Unlabeled Data [Link] [Bibtex]
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Dirichlet-Enhanced Spam Filtering based on Biased Samples [Link] [Bibtex]
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Analysis of Representations for Domain Adaptation [Link] [Bibtex]
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Multi-Task Feature Learning [Link] [Bibtex]
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AISTAT
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2009
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A Hierarchical Nonparametric Bayesian Approach to Statistical Language Model Domain Adaptation [Link] [Bibtex]
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2007
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Kernel Multi-task Learning using Task-specific Features [Link] [Bibtex]
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Inductive Transfer for Bayesian Network Structure Learning [Link] [Bibtex]
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ECML/PKDD
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2009
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Relaxed Transfer of Different Classes via Spectral Partition [Link] [Bibtex]
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Feature Selection by Transfer Learning with Linear Regularized Models [Link] [Bibtex]
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Semi-Supervised Multi-Task Regression [Link] [Bibtex]
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2008
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Actively Transfer Domain Knowledge [Link] [Bibtex]
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An Algorithm for Transfer Learning in a Heterogeneous Environment [Link] [Bibtex]
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Transferred Dimensionality Reduction [Link] [Bibtex]
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Modeling Transfer Relationships between Learning Tasks for Improved Inductive Transfer [Link] [Bibtex]
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Kernel-Based Inductive Transfer [Link] [Bibtex]
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2007
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Graph-Based Domain Mapping for Transfer Learning in General Games [Link] [Bibtex]
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Bridged Refinement for Transfer Learning [Link] [Bibtex]
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Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling [Link] [Bibtex]
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Domain Adaptation of Conditional Probability Models via Feature Subsetting [Link] [Bibtex]
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2006
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Skill Acquisition via Transfer Learning and Advice Taking [Link] [Bibtex]
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COLT
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2009
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Online Multi-task Learning with Hard Constraints [Link] [Bibtex]
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Taking Advantage of Sparsity in Multi-Task Learning [Link] [Bibtex]
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Domain Adaptation: Learning Bounds and Algorithms [Link] [Bibtex]
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2008
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Learning coordinate gradients with multi-task kernels [Link] [Bibtex]
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Linear Algorithms for Online Multitask Classification [Link] [Bibtex]
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2007
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Multitask Learning with Expert Advice [Link] [Bibtex]
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2006
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Online Multitask Learning [Link] [Bibtex]
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UAI
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2009
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Bayesian Multitask Learning with Latent Hierarchies [Link] [Bibtex]
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Multi-Task Feature Learning Via Efficient L2,1-Norm Minimization [Link] [Bibtex]
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2008
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Convex Point Estimation using Undirected Bayesian Transfer Hierarchies [Link] [Bibtex]
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Data Mining Conferences
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KDD
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2009
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Cross Domain Distribution Adaptation via Kernel Mapping [Link] [Bibtex]
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Extracting Discriminative Concepts for Domain Adaptation in Text Mining [Link] [Bibtex]
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2008
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Spectral domain-transfer learning [Link] [Bibtex]
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Knowledge transfer via multiple model local structure mapping [Link] [Bibtex]
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2007
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Co-clustering based Classification for Out-of-domain Documents [Link] [Bibtex]
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2006
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Reverse Testing: An Efficient Framework to Select Amongst Classifiers under Sample Selection Bias [Link] [Bibtex]
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ICDM
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2008
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Unsupervised Cross-domain Learning by Interaction Information Co-clustering [Link] [Bibtex]
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Using Wikipedia for Co-clustering Based Cross-domain Text Classification [Link] [Bibtex]
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SDM
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2008
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Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing [Link] [Bibtex]
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Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation [Link] [Bibtex]
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2007
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On Sample Selection Bias and Its Efficient Correction via Model Averaging and Unlabeled Examples [Link] [Bibtex]
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Probabilistic Joint Feature Selection for Multi-task Learning [Link] [Bibtex]
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Application Conferences
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SIGIR
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2009
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Mining Employment Market via Text Block Detection and Adaptive Cross-Domain Information Extraction [Link] [Bibtex]
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Knowledge transformation for cross-domain sentiment classification [Link] [Bibtex]
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2008
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Topic-bridged PLSA for cross-domain text classification [Link] [Bibtex]
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2007
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Cross-Lingual Query Suggestion Using Query Logs of Different Languages [Link] [Bibtex]
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2006
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Tackling Concept Drift by Temporal Inductive Transfer [Link] [Bibtex]
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Constructing Informative Prior Distributions from Domain Knowledge in Text Classification [Link] [Bibtex]
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Building Bridges for Web Query Classification [Link] [Bibtex]
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WWW
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2009
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Latent Space Domain Transfer between High Dimensional Overlapping Distributions [Link] [Bibtex]
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2008
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Can Chinese web pages be classified with English data source? [Link] [Bibtex]
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ACL
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2009
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Transfer Learning, Feature Selection and Word Sense Disambiguation [Link] [Bibtex]
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Graph Ranking for Sentiment Transfer [Link] [Bibtex]
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Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction [Link] [Bibtex]
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Cross-Domain Dependency Parsing Using a Deep Linguistic Grammar [Link] [Bibtex]
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Heterogeneous Transfer Learning for Image Clustering via the SocialWeb [Link] [Bibtex]
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2008
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Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition [Link] [Bibtex]
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Multi-domain Sentiment Classification [Link] [Bibtex]
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Active Sample Selection for Named Entity Transliteration [Link] [Bibtex]
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Mining Wiki Resources for Multilingual Named Entity Recognition [Link] [Bibtex]
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Multi-Task Active Learning for Linguistic Annotations [Link] [Bibtexs]
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2007
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Domain Adaptation with Active Learning for Word Sense Disambiguation [Link] [Bibtex]
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Frustratingly Easy Domain Adaptation [Link] [Bibtex]
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Instance Weighting for Domain Adaptation in NLP [Link] [Bibtex]
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Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification [Link] [Bibtex]
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Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets [Link] [Bibtex]
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2006
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Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation [Link] [Bibtex]
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Simultaneous English-Japanese Spoken Language Translation Based on Incremental Dependency Parsing and Transfer [Link] [Bibtex]
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CVPR
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2009
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Domain Transfer SVM for Video Concept Detection [Link] [Bibtex]
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Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search [Link] [Bibtex]
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2008
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Transfer Learning for Image Classification with Sparse Prototype Representations [Link] [Bibtex]
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