Learning transferable and discriminative features for unsupervised domain adaptation

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

(2019) Christian S. Perone et al.   NEUROIMAGE

Maximum Mean and Covariance Discrepancy for Unsupervised Domain Adaptation

(2019) Wenju Zhang et al.   NEURAL PROCESSING LETTERS

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

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

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

Adaptation Regularization: A General Framework for Transfer Learning

(2013) Mingsheng Long et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A theory of learning from different domains

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