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TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis

multi-head triangulation mechanism, leveraging reconstruction deviations from multiple prediction h... . Built on top of the light-weight TSMixer architecture, TSPulse introduces a set of novel design enh...

Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy ...

. Using Shapley Additive Explanations (SHAP) to interpret the top-performing LightGBM model, the... leverages multi-head attention for solar wind speed forecasting, achieving a one-day lead time MA...

[2303.03932v1] FFT-based Dynamic Token Mixer for Vision

View PDFAbstract:Multi-head-self-attention (MHSA)-equipped models have achieved notable perf... this https URLSubjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs...

Mistral 入门指南 概览 #2027 #大模型学习 抖音

86.7% 85.1% 87.1% HellaSwag 70.6% 69.9% MMLU Mixtral8x7B GPT-3.5 LLaMA270B Routing top k xN L layers Liama2700 Input embeddings Attention Multi-Head FFN Feed Forward Llana2708 ...

美团开源LongCat-Flash-Chat:5600亿参数MoE模型开启AI效率革命 CSDN...

如上图所示,该架构包含Multi-head Latent Attention (MLA)、FFN、Top-k Router及FFN Expert、Zero-computation Expert等组件,清晰展示了输入隐藏层到输出隐藏层的处理流程。这一设计直观体现...

第8讲、Multi-Head Attention 的核心机制与实现细节 何双新

🤔 为什么要有 Multi-Head Attention? 单个 Attention 机制虽然可以捕捉句子中不同词之间的关系,但它只能关注一种角度或模式。 Multi-Head 的作用是: 多个头 = 多个视角同时观察序列的不...