Search alternatives:
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
attention head » attention heads (Expand Search), detection head (Expand Search), attention paid (Expand Search)
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
attention head » attention heads (Expand Search), detection head (Expand Search), attention paid (Expand Search)
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Impact of attention head.
Published 2025“…To address the problems, this paper proposes an aspect-level sentiment analysis model (MSDC) based on multi-scale dual-channel feature fusion. First, through multi-head gated self-attention channels and graph neural network channels, the model further enhances its understanding of the spatial hierarchical structure of text data and improves the expressiveness of features. …”
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Structure of multi-head self-attention.
Published 2025“…In this study, we propose the SMMTM model, which combines spatiotemporal convolution (SC), multi-branch separable convolution (MSC), multi-head self-attention (MSA), temporal convolution network (TCN), and multimodal feature fusion (MFF). …”
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Multi-head gated self-attention mechanism.
Published 2025“…To address the problems, this paper proposes an aspect-level sentiment analysis model (MSDC) based on multi-scale dual-channel feature fusion. First, through multi-head gated self-attention channels and graph neural network channels, the model further enhances its understanding of the spatial hierarchical structure of text data and improves the expressiveness of features. …”
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Light multi-head self-attention.
Published 2024“…Meanwhile, this model employs a light multi-head attention mechanism module with an alternating structure, which can comprehensively extract multi-scale features while significantly reducing computational costs. …”
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Multi-head self-attention module.
Published 2024“…Meanwhile, this model employs a light multi-head attention mechanism module with an alternating structure, which can comprehensively extract multi-scale features while significantly reducing computational costs. …”
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Long COVID prevalence decreases with vaccine uptake in the U.S.
Published 2023“…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”
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