Showing 1 - 20 results of 7,583 for search '(( significant ((larger decrease) OR (marked decrease)) ) OR ( significant attention heads ))', query time: 2.93s Refine Results
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    Impact of attention head. by Xiaoye Lou (22470204)

    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. by DianGuo Cao (22486584)

    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. by Xiaoye Lou (22470204)

    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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    Data_Sheet_1_Immune and Neuroendocrine Trait and State Markers in Psychotic Illness: Decreased Kynurenines Marking Psychotic Exacerbations.docx by Livia De Picker (8319105)

    Published 2020
    “…</p><p>Conclusion: The acute psychotic state is marked by state-specific increases of immune markers and decreases in peripheral IDO pathway markers. …”
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    Light multi-head self-attention. by Yandong Ru (18806183)

    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. by Yandong Ru (18806183)

    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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