Multicomponent Adversarial Domain Adaptation: A General Framework

Semi-supervised Heterogeneous Domain Adaptation: Theory and Algorithms

(2022) Zhen Fang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Adversarial Entropy Optimization for Unsupervised Domain Adaptation

(2021) Ao Ma et al.   IEEE Transactions on Neural Networks and Learning Systems

Learning From a Complementary-Label Source Domain: Theory and Algorithms

(2021) Yiyang Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

The k-means Algorithm: A Comprehensive Survey and Performance Evaluation

(2020) Mohiuddin Ahmed et al.   Electronics

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

Multi-component transfer metric learning for handling unrelated source domain samples

(2020) Chang’an Yi et al.   KNOWLEDGE-BASED SYSTEMS

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

Heterogeneous Domain Adaptation: An Unsupervised Approach

(2020) Feng Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks

(2020) Feng Liu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Incomplete Multisource Transfer Learning

(2018) Zhengming Ding et al.   IEEE Transactions on Neural Networks and Learning Systems

A Survey on Deep Learning

(2018) Samira Pouyanfar et al.   ACM COMPUTING SURVEYS

Statistical Aspects of Wasserstein Distances

(2018) Victor M. Panaretos et al.   Annual Review of Statistics and Its Application

Learning without Forgetting

(2017) Zhizhong Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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