A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Machine Learning - Special issue on inductive transfer
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
A Brief Introduction to Boosting
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Learning and evaluating classifiers under sample selection bias
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Improving SVM accuracy by training on auxiliary data sources
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Logistic regression with an auxiliary data source
ICML '05 Proceedings of the 22nd international conference on Machine learning
Domain adaptation for statistical classifiers
Journal of Artificial Intelligence Research
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Topic-bridged PLSA for cross-domain text classification
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Knowledge transfer via multiple model local structure mapping
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Spectral domain-transfer learning
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Categorizing and mining concept drifting data streams
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Actively Transfer Domain Knowledge
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Transferred Dimensionality Reduction
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Transfer learning from multiple source domains via consensus regularization
Proceedings of the 17th ACM conference on Information and knowledge management
A framework for classifier adaptation and its applications in concept detection
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Learning to Recognize Activities from the Wrong View Point
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Latent space domain transfer between high dimensional overlapping distributions
Proceedings of the 18th international conference on World wide web
Cross domain distribution adaptation via kernel mapping
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
An Information-Theoretic Approach for Multi-task Learning
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Transfer Learning with Data Edit
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Transfer learning via dimensionality reduction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Ranking model adaptation for domain-specific search
Proceedings of the 18th ACM conference on Information and knowledge management
Proceedings of the 18th ACM conference on Information and knowledge management
Heterogeneous cross domain ranking in latent space
Proceedings of the 18th ACM conference on Information and knowledge management
A risk minimization framework for domain adaptation
Proceedings of the 18th ACM conference on Information and knowledge management
Transfer Discriminative Logmaps
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A rich feature vector for protein-protein interaction extraction from multiple corpora
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Supervised self-taught learning: actively transferring knowledge from unlabeled data
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Transfer estimation of evolving class priors in data stream classification
Pattern Recognition
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
International Journal of Robotics Research
Boosting with structure information in the functional space: an application to graph classification
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Unsupervised transfer classification: application to text categorization
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-task learning for boosting with application to web search ranking
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A novel learning approach to multiple tasks based on boosting methodology
Pattern Recognition Letters
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Transfer incremental learning for pattern classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Cross validation framework to choose amongst models and datasets for transfer learning
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Logistic regression for transductive transfer learning from multiple sources
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Knowledge transfer based on feature representation mapping for text classification
Expert Systems with Applications: An International Journal
Subkilometer crater discovery with boosting and transfer learning
ACM Transactions on Intelligent Systems and Technology (TIST)
Transfer learning via multi-view principal component analysis
Journal of Computer Science and Technology - Special issue on natural language processing
Transfer latent variable model based on divergence analysis
Pattern Recognition
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Transfer learning through domain adaptation
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Knowledge transfer across multilingual corpora via latent topics
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Localized factor models for multi-context recommendation
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
It's who you know: graph mining using recursive structural features
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-view transfer learning with a large margin approach
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptive boosting for transfer learning using dynamic updates
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Constrained logistic regression for discriminative pattern mining
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Compact coding for hyperplane classifiers in heterogeneous environment
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Ranking function adaptation with boosting trees
ACM Transactions on Information Systems (TOIS)
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
A pseudo relevance feedback based cross domain video concept detection
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Proceedings of the 20th ACM international conference on Information and knowledge management
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
The Journal of Machine Learning Research
Transfer learning for cross-company software defect prediction
Information and Software Technology
Leveraging Auxiliary Data for Learning to Rank
ACM Transactions on Intelligent Systems and Technology (TIST)
Instance level transfer learning for cross lingual opinion analysis
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Pairwise cross-domain factor model for heterogeneous transfer ranking
Proceedings of the fifth ACM international conference on Web search and data mining
Social image annotation via cross-domain subspace learning
Multimedia Tools and Applications
Boosting for transfer learning from multiple data sources
Pattern Recognition Letters
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Regression transfer learning based on principal curve
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
A new domain adaptation method based on rules discovered from cross-domain features
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Transfer learning with local smoothness regularizer
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Domain adaptation with ensemble of feature groups
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Bi-weighting domain adaptation for cross-language text classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Kinship verification through transfer learning
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Rapid pedestrian detection in unseen scenes
Neurocomputing
Sentiment detection with auxiliary data
Information Retrieval
Multi-domain active learning for text classification
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Domain transfer dimensionality reduction via discriminant kernel learning
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Drift mining in data: A framework for addressing drift in classification
Computational Statistics & Data Analysis
Active learning with transfer learning
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Cross-domain co-extraction of sentiment and topic lexicons
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
TCSST: transfer classification of short & sparse text using external data
Proceedings of the 21st ACM international conference on Information and knowledge management
Transfer learning for pedestrian detection
Neurocomputing
Learning multiple tasks with boosted decision trees
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Multi-Task boosting by exploiting task relationships
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Fairness-Aware classifier with prejudice remover regularizer
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
A machine learning approach for instance matching based on similarity metrics
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Over-Sampling from an auxiliary domain
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Multiple outlooks learning with support vector machines
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Multi-source transfer learning with multi-view adaboost
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
MOTIF-RE: motif-based hypernym/hyponym relation extraction from wikipedia links
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Triplex transfer learning: exploiting both shared and distinct concepts for text classification
Proceedings of the sixth ACM international conference on Web search and data mining
Effective transfer tagging from image to video
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Chinese terminology extraction using EM-Based transfer learning method
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Cross-Database transfer learning via learnable and discriminant error-correcting output codes
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Human reidentification with transferred metric learning
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
An adaptation framework for head-pose classification in dynamic multi-view scenarios
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Proceedings of the 2013 International Conference on Software Engineering
Predicting positive and negative links in signed social networks by transfer learning
Proceedings of the 22nd international conference on World Wide Web
Double-bootstrapping source data selection for instance-based transfer learning
Pattern Recognition Letters
Learning person-specific models for facial expression and action unit recognition
Pattern Recognition Letters
Domain adaptation with topical correspondence learning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Concept learning for cross-domain text classification: a general probabilistic framework
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
User behavior learning and transfer in composite social networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
Transfer learning with one-class data
Pattern Recognition Letters
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Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identical-distribution assumption does not hold. The assumption might be violated when a task from one new domain comes, while there are only labeled data from a similar old domain. Labeling the new data can be costly and it would also be a waste to throw away all the old data. In this paper, we present a novel transfer learning framework called TrAdaBoost, which extends boosting-based learning algorithms (Freund & Schapire, 1997). TrAdaBoost allows users to utilize a small amount of newly labeled data to leverage the old data to construct a high-quality classification model for the new data. We show that this method can allow us to learn an accurate model using only a tiny amount of new data and a large amount of old data, even when the new data are not sufficient to train a model alone. We show that TrAdaBoost allows knowledge to be effectively transferred from the old data to the new. The effectiveness of our algorithm is analyzed theoretically and empirically to show that our iterative algorithm can converge well to an accurate model.