Influence of different attention modules on model classification performance.

NIAID Data Ecosystem2026-03-11 收录

数据链接：

https://figshare.com/articles/dataset/Influence_of_different_attention_modules_on_model_classification_performance_/12804228 数据链接链接失效反馈

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资源简介：

Influence of different attention modules on model classification performance.

创建时间：

2020-08-13

synthseq/flipflop

语言模型

注意力机制

该数据集用于Flip-Flop Language Modeling任务，旨在正确执行1位寄存器的顺序操作。尽管Transformer架构似乎适合此操作，但它会偶尔出现外推错误（称为注意力故障）。一个开放的挑战是如何在不依赖长尾数据或递归架构的情况下修复这些错误。数据集包含训练集、验证集、密集验证集和稀疏验证集，分别来自不同的FFL配置。

Hugging Face2023-10-19 更新240

flash-attn_max

深度学习

注意力机制

数据集文件元信息以及数据文件，请浏览“数据集文件”页面获取。当前数据集卡片使用的是默认模版，数据集的贡献者未提供更加详细的数据集介绍，但是您可以通过如下GIT Clone命令，或者ModelScope SDK来下载数据集 #### 下载方法 :modelscope-code[]{type="sdk"} :modelscope-code[]{type="git"}

魔搭社区2026-07-10 更新60

The Impact of Hearing Impairment on Neural and Behavioural Signatures of Attentional Filtering

认知神经科学

注意力机制

This is a dataset being published as part of the SNSF Ambizione project: Exploiting the potential of neural attentional control to overcome hearing impairment (https://data.snf.ch/grants/grant/20186

Zenodo2026-04-23 更新30

Universal Approximation and Optimization Theory for Multi-Head Self-Attention: Theoretical Foundations and Scaling Laws

深度学习

注意力机制

We have established comprehensive theoretical foundations for understanding multi-head self-attention mechanisms through universal approximation theory and convex optimization. Our analysis reveals th

DataCite Commons2025-07-28 更新70

Temporal stability of attention capture effects: Code

心理学

注意力机制

Code to analyse the data from two Experiments on the temporal stability (reliability) of attention capture effects. The data can be found here: https://doi.org/10.6084/m9.figshare.5886580.v1

DataCite Commons2020-08-28 更新60

Influence of different attention modules on model classification performance.

资源简介：

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