A Survey on Negative Transfer

Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation

(2022) Keqiuyin Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from in vitro to in vivo settings

(2021) Rafael Peres da Silva et al.   BIOINFORMATICS

Universal adversarial perturbations for CNN classifiers in EEG-based BCIs

(2021) Zihan Liu et al.   Journal of Neural Engineering

Virtual to Real-World Transfer Learning: A Systematic Review

(2021) Mahesh Ranaweera et al.   Electronics

Distant Domain Transfer Learning for Medical Imaging

(2021) Shuteng Niu et al.   IEEE Journal of Biomedical and Health Informatics

Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces

(2020) Wen Zhang et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach

(2020) He He et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

A study of the effects of negative transfer on deep unsupervised domain adaptation methods

(2020) Magdiel Jiménez-Guarneros et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks

(2020) Xiang Li et al.   NEURAL NETWORKS

Tiny noise, big mistakes: adversarial perturbations induce errors in Brain-Computer Interface spellers

(2020) Xiao Zhang et al.   National Science Review

A Comprehensive Survey on Transfer Learning

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

Deep Subdomain Adaptation Network for Image Classification

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

Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016

(2020) Dongrui Wu et al.   IEEE Transactions on Cognitive and Developmental Systems

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems

(2019) Felipe Leno Da Silva et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Weighted Transfer Learning for Improving Motor Imagery-Based Brain–Computer Interface

(2019) Ahmed M. Azab et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Transfer Learning for Brain–Computer Interfaces: A Euclidean Space Data Alignment Approach

(2019) He He et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Exploring uncertainty in pseudo-label guided unsupervised domain adaptation

(2019) Jian Liang et al.   PATTERN RECOGNITION

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

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

On automated source selection for transfer learning in convolutional neural networks

(2018) Muhammad Jamal Afridi et al.   PATTERN RECOGNITION

Concept Drift Adaptation by Exploiting Historical Knowledge

(2018) Yu Sun et al.   IEEE Transactions on Neural Networks and Learning Systems

Active Learning for Regression Using Greedy Sampling

(2018) Dongrui Wu et al.   INFORMATION SCIENCES

Pool-Based Sequential Active Learning for Regression

(2018) Dongrui Wu   IEEE Transactions on Neural Networks and Learning Systems

A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson’s Disease

(2018) Hyunsoo Yoon et al.   IEEE Transactions on Automation Science and Engineering

Open Set Domain Adaptation for Image and Action Recognition

(2018) Pau Panareda Busto et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Improving EEG-Based Emotion Classification Using Conditional Transfer Learning

(2017) Yuan-Pin Lin et al.   Frontiers in Human Neuroscience

Online and Offline Domain Adaptation for Reducing BCI Calibration Effort

(2017) Dongrui Wu   IEEE Transactions on Human-Machine Systems

Negative transfer detection in transductive transfer learning

(2017) Lin Gui et al.   International Journal of Machine Learning and Cybernetics

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization

(2016) Dongrui Wu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Transfer learning based clinical concept extraction on data from multiple sources

(2014) Xinbo Lv et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Machine learning for targeted display advertising: transfer learning in action

(2013) C. Perlich et al.   MACHINE LEARNING

Combating Negative Transfer From Predictive Distribution Differences

(2012) Chun-Wei Seah et al.   IEEE Transactions on Cybernetics

A Survey on Transfer Learning

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

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