A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 论文解读（SIGMOD 2021）

【A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 论文解读（SIGMOD 2021）】的更多相关文章

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 论文解读（SIGMOD 2021）

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 论文解读(SIGMOD 2021) 本篇博客是对A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation的一些重要idea的解读,原文连接为:A Unified Deep Model of Learning f…

Fauce：Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 论文解读（VLDB 2021）

Fauce:Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 论文解读(VLDB 2021) 本篇博客是对Fauce:Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 论文的解读.原文链接为p1950-liu.pdf (vldb.org) 本文设计一种基于集成深度神经网络的基于查询的选择度估…

Deep Upsupervised Cardinality Estimation 解读（2019 VLDB）

Deep Upsupervised Cardinality Estimation 本篇博客是对Deep Upsupervised Cardinality Estimation的解读,原文连接为:https://dl.acm.org/doi/pdf/10.14778/3368289.3368294 本文介绍了如何使用深度自回归模型(如:MADE.transformer)来进行基数估计的任务(利用模型训练拟合数据分布) 特点: 使用autoregressive model,无监督学习没有做任何独立…

论文解读(GraphDA)《Data Augmentation for Deep Graph Learning: A Survey》

论文信息论文标题:Data Augmentation for Deep Graph Learning: A Survey论文作者:Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu论文来源:2022, arXiv论文地址:download 1 介绍本文主要总结图数据增强,并对该领域的代表性方法做出归类分析. DGL 存在的两个问题: 次优图问题:图中包含不确定.冗余.错误和缺失的节点特征或图结构边. 有限标签问题:标签数据成本高,目前大部分 DGL 方法是…

Unified shader model

https://en.wikipedia.org/wiki/Unified_shader_model In the field of 3D computer graphics, the Unified Shader Model (known in Direct3D 10 as "Shader Model 4.0") refers to a form ofshader hardware in a graphical processing unit (GPU) where all of t…

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Human Pose Estimation 2019-08-30 22:05:59 Paper: CVPR-2019, arXiv Code: https://github.com/leoxiaobin/deep-high-resolution-net.pytorch Related Works: 1. High-Resolution Representations for Labeling Pix…