Domain Invariant and Agnostic Adaptation

Discriminative active learning for domain adaptation

(2021) Fan Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Joint subspace and discriminative learning for self-paced domain adaptation

(2020) Cheng Liu et al.   KNOWLEDGE-BASED SYSTEMS

Joint distribution matching embedding for unsupervised domain adaptation

(2020) Xiaona Jin et al.   NEUROCOMPUTING

Domain adaptation for regression under Beer–Lambert’s law

(2020) Ramin Nikzad-Langerodi et al.   KNOWLEDGE-BASED SYSTEMS

Multiple adversarial networks for unsupervised domain adaptation

(2020) Qiang Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Subspace Distribution Adaptation Frameworks for Domain Adaptation

(2020) Sentao Chen et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Subdomain Adaptation Network for Image Classification

(2020) Yongchun Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Domain Adaptation on Graphs by Learning Aligned Graph Bases

(2020) Mehmet Pilanci et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Robust unsupervised domain adaptation for neural networks via moment alignment

(2019) Werner Zellinger et al.   INFORMATION SCIENCES

Geometric Knowledge Embedding for unsupervised domain adaptation

(2019) Hanrui Wu et al.   KNOWLEDGE-BASED SYSTEMS

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

(2019) Lei Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Guide Subspace Learning for Unsupervised Domain Adaptation

(2019) Lei Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

A Review of Domain Adaptation without Target Labels

(2019) Wouter M. Kouw et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

(2018) Shuang Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation

(2018) Jian Liang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Semi-supervised Domain Adaptation by Covariance Matching

(2018) Limin Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

(2017) Muhammad Ghifary et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Optimal Transport for Domain Adaptation

(2017) Nicolas Courty et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Prediction Reweighting for Domain Adaptation

(2017) Shuang Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Interpretable domain adaptation via optimization over the Stiefel manifold

(2016) Christian Pölitz et al.   MACHINE LEARNING

Schubert Varieties and Distances between Subspaces of Different Dimensions

(2016) Ke Ye et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

Relative Density-Ratio Estimation for Robust Distribution Comparison

(2013) Makoto Yamada et al.   NEURAL COMPUTATION

Bregman Divergence-Based Regularization for Transfer Subspace Learning

(2009) Si Si et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A theory of learning from different domains

(2009) Shai Ben-David et al.   MACHINE LEARNING