Apr 11, 2022 · It consists of feature extraction module and domain adaptation module. The dual-channel feature extraction module adopts hierarchical attention ...
We proposed a novel dual-channel domain adaptation model (DCDA) for document-level cross-domain sentiment analysis.
Yang et al. [24] proposed a dual-channel mutual learning domain adaptive model. In recent years, BERT has been gradually applied to CDSC because of the ...
Learning a discriminative model that reduces the disparity between train- ing and testing distributions is typically known as domain adaptation; a more.
In this paper, we proposed a domain adaptation method based on feature fusion and multi-attention mechanism.
Dec 31, 2021 · In this paper, we propose a dual-module network architecture that employs a domain discriminative feature module to encourage the domain ...
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In this study, we propose an adversarial domain adaptation (ADDA) approach with dual domain pairing strategy for IoT intrusion detection under few-shot samples.
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Aug 25, 2022 · In this paper, we propose a dual alignment-based multi-source domain adaptation framework, denoted DAMSDAF.
Apr 13, 2023 · We proposed a novel unsupervised domain-adaptation framework for the brain tumor segmentation task, which uses dual student and adversarial training techniques.
Mar 23, 2024 · A dual-channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings. Junyu ...