Improving domain generalization by hybrid domain attention and localized maximum sensitivity-Reference-Cited by-同舟云学术

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Improving domain generalization by hybrid domain attention and localized maximum sensitivity

Published:2024-03 Issue: Volume:171 Page:320-331
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Ng Wing W.Y.^ORCID,Zhang Qin,Zhong Cankun,Zhang Jianjun

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference65 articles.

1. Towards shape biased unsupervised representation learning for domain generalization;Asadi,2019

2. Supervised domain generalization for integration of disparate scalp EEG datasets for automatic epileptic seizure detection;Ayodele;Computers in Biology and Medicine,2020

3. Neural machine translation by jointly learning to align and translate;Bahdanau,2014

4. Metareg: Towards domain generalization using meta-regularization;Balaji,2018

5. Joint line segmentation and transcription for end-to-end handwritten paragraph recognition;Bluche,2016

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1. DP2Net: A discontinuous physical property-constrained single-source domain generalization network for tool wear state recognition;Mechanical Systems and Signal Processing;2024-06

2. Advancing Generalization in Neural Dynamic Models for Nonlinear Systems Through Innovative Data Augmentation Techniques;2024

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