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Multi-Head Self-Attending Neural Tucker Factorization

[5]J. Wang, X. Zhang, Q. Wang, W. Zheng, and Y. Xiao, QoS Prediction Method via Multi-Task Learning for Web Service Recommendation, in2024 IEEE Int. Conf. Web Serv., pp. 1353-1355, 2024. [6]Y. Liu, A. H. Ngu, and L. Z. Zeng, QoS computation and policing in dynamic Web service selection, inProc. 13th Int. Conf. World Wide Web, pp. 66–...

arxiv.org 2022年8月1日

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A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation

Figure 1.TheA-THENAsystem architecture. (Top) Transformer encoder ingesting raw packet sequences (FF) with Time-Aware (TA) encodings from timestamps (TT): TA Sinusoidal and TA Fourier are added to the input projection, while TA RoPE modifies multi-head attention. The Early Detection Loss (EDL) enforces early classification. (Bottom) T...

arxiv.org 8月24日

[2505.19057] Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders

[Submitted on 25 May 2025] Title:Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders Authors: Pedro AlonsoTianrui LiChongshou LiView a PDF of t... we propose a novel multi-head decoder architecture that exploits the inherent redundancy in point clouds by reconstructing complete shapes from multiple independent heads...

arxiv.org 2025年5月25日

[2511.12122] Dynamic Anomaly Identification in Accounting Transactions via Multi-Head Self-Attention Networks

Abstract page for arXiv paper 2511.12122: Dynamic Anomaly Identification in Accounting Transactions via Multi-Head Self-Attention Networks Computer Science Machine L... multi-head self-attention is then constructed to capture global dependencies and aggregate features from multiple perspectives, thereby enhancing the ability to detect abnorm...

arxiv.org 2025年11月15日

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万网 2025年8月9日

[2508.04251] T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion

Abstract page for arXiv paper 2508.04251: T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion Computer Science Machine Learning arXiv:2508.04251(cs) [Submitted on 6 Aug 2025] Title:T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion Authors...

arxiv.org 2025年8月6日

[2507.23777] XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding

multi-head speculative decoding scheme to predict multiple tokens in parallel within a single forward pass, thereby accelerating inference. We further propose a verification and resampling strategy: the backbone model verifies each predicted token and resamples any tokens that do not meet the quality criteria. In addition, we propose a distillation s...

arxiv.org 2025年7月31日

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Multi-Head Self-Attending Neural Tucker Factorization

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