526互联

Multi

ControlNet-trt优化总结3：使用multi-stream和cuda-graph构建并行流水线

ControlNet-trt优化总结3：使用multi-stream和cuda-graph构建并行流水线 上节谈到使用TRT-API来构建网络，在这一节中总结一些trick来提升模型的运行效率，这些trick在所有的trt优化中均可使用，主要有以下几点： 使用cuda_graph减少kernel间的 ......
ControlNet-trt 流水线 multi-stream ControlNet cuda-graph

nginx启动报错：(1113: No mapping for the Unicode character exists in the target multi-byte code page)

转自：https://blog.csdn.net/qq_19309473/article/details/96477863 使用windows版本的nginx启动时遇到：(1113: No mapping for the Unicode character exists in the target ......
multi-byte character the mapping Unicode

报错error Component name "Index" should always be multi-word vue/multi-word-component-names解决方法

1、问题说明：在创建组件命名时，引用 index.vue 的过程中报错； 2、报错的原因及分析：其一、报错的全称为：error Component name "index" should always be multi-word vue/multi-word-component-names翻译为：错 ......
multi-word-component-names multi quot word multi-word

ACL2022 paper1 CAKE: A Scalable Commonsense-Aware Framework for Multi-View Knowledge Graph Completion

CAKE:用于多视域知识图谱补全的可扩展常识感知框架 ACL2022 Abstract 知识图谱存储大规模事实三元组，然而不可避免的是图谱仍然具有不完整性。（问题）以往的只是图谱补全模型仅仅依赖于事实域数据进行实体之间缺失关系的预测，忽略了宝贵的常识知识。以往的知识图嵌入技术存在无效负抽样和事实域链 ......
Commonsense-Aware Commonsense Completion Multi-View Framework

【CVPR2022】Shunted Self-Attention via Multi-Scale Token Aggregation

来自CVPR2022 基于多尺度令牌聚合的分流自注意力 论文地址：[2111.15193] Shunted Self-Attention via Multi-Scale Token Aggregation (arxiv.org) 项目地址：https://github.com/OliverRensu ......
Self-Attention Aggregation Multi-Scale Attention Shunted

多主架构：VLDB技术论文《Taurus MM: bringing multi-master to the cloud》解读

华为《Taurus MM: bringing multi-master to the cloud》论文被国际数据库顶会VLDB 2023录用，这篇论文里讲述了符合云原生数据库特点的超燃技术。 ......
技术论文 multi-master 架构 bringing Taurus

Node.js multi threads All In One

Node.js multi threads All In One Node.js 多线程 worker_threads Worker threads 工作线程 child_process 子进程 Cluster 集群 ......
threads multi Node All One

Transformer-empowered Multi-scale Contextual Matching and Aggregation for

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution（阅读文献）10.12 基于变压器的磁共振多对比度超分辨率多尺度背景匹配与聚合 摘 ......
Transformer-empowered Transformer Multi-scale Aggregation Contextual

Proj CDeepFuzz Paper Reading: DeepGauge: multi-granularity testing criteria for deep learning systems

## Abstract 本文: DeepGauge Task: provide multi-granularity testing criteria for DL systems Method: multi-granularity testing criteria for DL systems: 1 ......
multi-granularity granularity CDeepFuzz DeepGauge criteria

css: A Multi-line CSS only Typewriter effect

<!doctype html> <html> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width,initial-scale=1.0,maximum-scale=1.0,minimum-sca ......
Multi-line Typewriter effect Multi line

ES中的Multi_match深入解读：best_fields、most_fields、cross_fields用法一览

1、multi_match是啥 概念： 多字段检索，是组合查询的另一种形态，考试的时候如果考察多字段检索，并不一定必须使用multi_match，使用bool query，只要结果正确亦可，除非题目中明确要求（目前没有强制要求过） 语法： GET <index>/_search { "query": ......
fields cross_fields Multi_match best_fields most_fields

vue eslint 报错 error “Component name “*****“ should always be multi-word”，该怎么办？

出现的问题： 在 vue-cli 创建的项目中，创建文件并命名后，会报 “Component name "*****" should always be multi-word” 报错； 报错截图示例如下： Component name "******" should always be multi- ......
multi-word Component 怎么办 eslint always

[KDD 2023] All in One- Multi-Task Prompting for Graph Neural Networks

# [KDD 2023] All in One- Multi-Task Prompting for Graph Neural Networks ## 总结 提出了个多任务prompt学习框架，扩展GNN的泛化能力： 1. 统一了NLP和图学习领域的prompt格式，包括prompt token、to ......
Multi-Task Prompting Networks Neural Graph

论文解读（CTDA）《Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification》

Note：[ wechat：Y466551 | 可加勿骚扰，付费咨询 ] 论文信息 论文标题：Contrastive transformer based domain adaptation for multi-source cross-domain sentiment classification论 ......
domain classification cross-domain multi-source Contrastive

警告: 'xxx' should always be multi-word

## 警告:Component name "Login" should always be multi-word ![](https://img2023.cnblogs.com/blog/3257556/202308/3257556-20230813225026382-1729595752.png) ......
multi-word should always multi 39

论文翻译：SSI-Net: A MULTI-STAGE SPEECH SIGNAL IMPROVEMENT SYSTEM FOR ICASSP 2023

摘要 ICASSP 2023语音信号改善(SSI)挑战赛的重点是提高实时通信(RTC)系统的语音信号质量。本文介绍了提交ICASSP 2023 SSI挑战赛的语音信号改进网络(SSI-Net)，该网络满足实时条件。提出的SSI-Net具有多阶段体系结构。在语音恢复的第一阶段，我们提出了时域恢复生成对 ......
论文翻译 MULTI-STAGE IMPROVEMENT SSI-Net ICASSP

boost multi index多索引容器

复制源：https://www.cnblogs.com/sssblog/p/11004572.html(纯英文） 注意：本文是机翻 Boost.MultiIndex makes it possible to define containers that support an arbitrary nu ......
容器 boost multi index

multi-GPU环境下的batch normalization需要特殊实现吗？

3年前曾经写过关于分布式环境下batch normalization是否需要特殊实现的讨论： batch normalization的multi-GPU版本该怎么实现？ 【Tensorflow 分布式PS/Worker模式下异步更新的情况】 当时我给出的观点就是在多卡环境下batch normali ......
normalization multi-GPU 环境 multi batch

【Konva】多事件（Multi-Event）与多端事件处理

除了 Konva 中图形（Shape）的单个事件以外，还可以在同一个 `on` 中定义多个事件，并同时触发同一个回调函数。 ```js file:[multi-event] const stage = new Konva.Stage({ container: "container", width: ......
事件 Multi-Event Konva Event Multi

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

[TOC] > [Trivedi H., Balasubramanian N., Khot T., Sabharwal A. Interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-st ......
Knowledge-Intensive Chain-of-Thought Interleaving Multi-Step Intensive

大语言模型的预训练[3]之Prompt Learning：Prompt Engineering、Answer engineering、Multi-prompt learning、Training strategy详解

大语言模型的预训练[3]之Prompt Learning：Prompt Engineering、Answer engineering、Multi-prompt learning、Training strategy详解 ......
Prompt Multi-prompt Engineering engineering Learning

Multi Paxos 、Raft 、ZAB 算法

参考： 凤凰架构：https://icyfenix.cn/distribution/consensus/raft.html 一、将共识问题分解为三个问题 1.选主 《https://www.cnblogs.com/suBlog/p/17554677.html》 Basic Paxos 的活锁问题，两 ......
算法 Multi Paxos Raft ZAB

粗读Multi-Task Recommendations with Reinforcement Learning

论文： Multi-Task Recommendations with Reinforcement Learning 地址： https://arxiv.org/abs/2302.03328 # 摘要 In recent years, Multi-task Learning (MTL) has yi ......
Recommendations Reinforcement Multi-Task Learning Multi

MEANTIME Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation

[TOC] > [Cho S., Park E. and Yoo S. MEANTIME: Mixture of attention mechanisms with multi-temporal embeddings for sequential recommendation. RecSys, 20 ......
Multi-temporal Recommendation Embeddings Mechanisms Sequential

【论文阅读】CrossViT：Cross-Attention Multi-Scale Vision Transformer for Image Classification

> # 🚩前言 > > - 🐳博客主页：😚[睡晚不猿序程](https://www.cnblogs.com/whp135/)😚 > - ⌚首发时间：23.7.10 > - ⏰最近更新时间：23.7.10 > - 🙆本文由 **睡晚不猿序程** 原创 > - 🤡作者是蒻蒟本蒟，如果文章里有 ......
Cross-Attention Classification Multi-Scale Transformer Attention

Multi-Modal Attention Network Learning for Semantic Source Code Retrieval 解读

# Multi-Modal Attention Network Learning for Semantic Source Code Retrieva Multi-Modal Attention Network Learning for Semantic Source Code Retrieval，题 ......
Multi-Modal Attention Retrieval Learning Semantic

[7] TyrLoc: A Low-cost Multi-technology MIMO Localization System with A Single RF Chain 论文精读

来自mobisys '21 的一篇工作，读一读。先吐槽一下，这个论文的图，竟然不是矢量图？ 看题目其实挺有意思，使用一个射频链去实现了MIMO，听上去很不可思议不？ 摘要 这项工作提出了TyrLoc的设计和实现，这是一种精确的多技术切换MIMO定位系统，可以部署在低成本的sdr上。TyrLoc仅使用 ......
Multi-technology Localization technology Low-cost TyrLoc

混合性对话：Towards Conversational Recommendation over Multi-Type Dialogs

## 混合型对话 传统的人机对话研究专注于单一类型的对话，并且往往预设用户一开始就清楚对话目标。但实际应用中，人机对话常常混合了多种类型，例如闲聊、任务导向对话、推荐对话、问答等，并且用户目标是未知的。在这样的混合型对话中，机器人需要主动自然地进行对话推荐。 “混合型对话”这个新颖的任务于2020年 ......
混合性 Conversational Recommendation Multi-Type Towards

C++ multi process share value via write and read data from serialized file,the better way is shared_memory,pipeline,message queue,socket

#include <atomic> #include <chrono> #include <cmath> #include <condition_variable> #include <cstddef> #include <forward_list> #include <fstream> #incl ......
shared_memory serialized pipeline message process

解决报错： error Component name "School" should always be multi-word vue/multi-word-component-names

运行时遇到这个问题 ![](https://img2023.cnblogs.com/blog/2446184/202306/2446184-20230614214046091-1282890569.png) 自己在给组件命名时没有使用大驼峰或者'-'拼接单词，所以编译的时候报错，实际上是语法检测的问 ......
multi-word-component-names multi quot word multi-word
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