multi-head self-attention is then constructed to capture global dependencies and aggregate features from multiple perspectives, thereby enhancing the ability to detect abnormal patterns. The network ...
Xiao-biao FAN,Tian-min DENG,Guo-tao MAO. Ship detection algorithm in complex backgrounds via multi-head self-attention.Journal of ZheJiang University (Engineering Science), 2022, 56(12): 239...
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MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning(IF7.0)Pub Date : 2024-05-27, DOI:10.1016/j.compbiomed.2024.10...
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https://doi.org/10.26153/tsw/15300Brion, D. A. J., & Pattinson, S. W. (2022). Generalisable 3D printing error detection and correction via multi-head neural networks.Nature Communications,13(1), 46...
[3] "GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints" by Google Research:https://arxiv.org/pdf/2305.13245.pdf
https://doi.org/10.3390/rs17060997Submission received: 19 January 2025/Revised: 10 March 202... In order to tackle these challenges, a novel HS tracker, the mixed multi-head attention-based featur...
and employs the multi-head attention mechanism to extract interaction information from sentence p... https://www.kaggle.com/c/quora-question-pairs/dataBowman SR, Angeli G, Potts C, Manning CD ...