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",r:{minutes:2.52,words:757},t:"阅读的相关论文",i:"pen-to-square",y:"a"}}],["/posts/paper/paper_writing.html",{loader:()=>n.e(807).then(n.bind(n,143)),meta:{d:171288e7,l:"2024年4月12日",c:["paper","paperwriting"],g:["paper"],e:'\n1. splncs04 引用格式 \n关于splncs04引用格式,该风格是根据文章作者首字母进行排序后进行引用,有时候我们不需要排序,而是根据引用顺序在文章中标号即可,因此需要修改splncs04文件,将SORTZ注释改为splncs04_unsort格式即可,参考链接：https://zhuanlan.zhihu.com/p/427371287.
\n2. chatgpt prompt \n\n以下内容来自：
\nchatgpt 科研辅助笔记
\n建议收藏：超详细ChatGPT(GPT 4.0)论文润色指南
\n ',r:{minutes:1.22,words:366},t:"论文写作",i:"pen-to-square",y:"a"}}],["/posts/banana/1.html",{loader:()=>n.e(41).then(n.bind(n,2858)),meta:{t:"香蕉 1",i:"pen-to-square"}}],["/posts/banana/2.html",{loader:()=>n.e(244).then(n.bind(n,1960)),meta:{t:"香蕉 2",i:"pen-to-square"}}],["/posts/banana/3.html",{loader:()=>n.e(155).then(n.bind(n,5806)),meta:{t:"香蕉 3",i:"pen-to-square"}}],["/posts/banana/4.html",{loader:()=>n.e(326).then(n.bind(n,9629)),meta:{t:"香蕉 4",i:"pen-to-square"}}],["/posts/apple/1.html",{loader:()=>n.e(41).then(n.bind(n,4580)),meta:{t:"苹果 1",i:"pen-to-square"}}],["/posts/apple/2.html",{loader:()=>n.e(244).then(n.bind(n,3175)),meta:{t:"苹果 2",i:"pen-to-square"}}],["/posts/apple/3.html",{loader:()=>n.e(155).then(n.bind(n,8220)),meta:{t:"苹果 3",i:"pen-to-square"}}],["/posts/apple/4.html",{loader:()=>n.e(326).then(n.bind(n,3624)),meta:{t:"苹果 4",i:"pen-to-square"}}],["/posts/reading/insights.html",{loader:()=>n.e(989).then(n.bind(n,9857)),meta:{d:17130528e5,l:"2024年4月14日",c:["阅读","语句摘抄"],g:["阅读"],e:'\n\n\n我与众不同，我很独特。无论我外表看起来多么普通，但在心灵深处，我深知自己是独一无二的奇迹。
\n \n\n不可能一次就中，师兄都没有一次就中，就算不中，也可以换个故事重新投；要求做实验的话，再自己多思考，多交流，网上查找资料进行回复
\n \n\n要更好实现自身价值，一是始终保持学习和研究事物的热情；二是至少找准一个领域持之以恒、久久为功。
\n \n\n归纳，总结，思考
\n \n\n5W1H法则，为什么用法要注意，因为要求回答者追求答案的逻辑性。
\n\n站在对方的立场，换位思考 \n提容易回答的问题 \n \n \n\n请求别人帮忙的时候，要是能给出一个理由，成功的概率更大。这个理由如果能引起对方的共鸣，那就更加完美
\n \n\n人们选择那些与自身利益和情绪密切相关的事件运用理智思考，而忽视那些不感兴趣不相干的事凭借本能自动处理。要选择重要的问题并且投入精力，比处理问题还重要。
\n \n\n交情不够，少说几句
\n \n\n学会聆听，学会发现对方感兴趣的话题，引导对方说下去
\n \n\n避免争论，勇于认错，学会赞美
\n \n\n真心实意感谢他人
\n \n\n你的心界愈空灵，你也不觉得物界喧嘈，所谓忙中静趣
\n \n\n人的乐趣一半得之活动（行动起来，诸如运动，清理，培养兴趣等，闲人大半易于发愁），也还有一半得之于感受（欣赏美，感受风景，感受细微，感受生活）
\n \n\n烂开始，短平快（按周期步骤分解，减小阻力），多迭代（设定每轮迭代的目标）
\n\n提升执行力
\n \n \n\n及格是一种心态
\n \n\n你没喜欢每一个人的义务，你有厌恶任何一个人的理由，但对每一个人，你都要给予基本的尊重，包括你厌恶的人
\n \n\n如果你的亲人是普通阶层，那对于人生中一些大事来说，他们给的建议往往就是普通阶层的思维，他们的阶层就是他们一生思维决策的结果，如果你的目标是跳出本阶层，那最好只把他们的建议当成参考。
\n \n\n不要和你的同事比工资，没有意义，比工资总会有人受伤，更多的是负面影响，并且很多时候受伤的会是你。
\n \n\n不要说一项技能没有用，任何你掌握的技能都有价值，但是你要学会找到发挥它的场景。如果有一天你落水了，你可能会很庆幸，自己以前学会了游泳。
\n \n\n工作中如果要上升，你要勇于承担麻烦的、有挑战的任务，当你推掉麻烦的时候，你也推掉了机遇。
\n \n\n很多人喜欢不停的做事，但不会停下来思考，缺乏总结复盘的能力，其实阶段性总结复盘，不仅能够固化前面的经验，也能梳理后面的方向；把事情做对很重要，但是更重要的是做对的事；另外不要贪快，方向正确慢就是快
\n \n\n不要因为某人的外在，如外貌、习惯、学历等对人贴上标签，去盲目否定别人，对于别人的建议，应该从客观出发，综合分析，从善如流是一项非常难得的品质。
\n \n ',r:{minutes:3.19,words:958},t:"语句摘抄",i:"pen-to-square",y:"a"}}],["/posts/tec/grammar.html",{loader:()=>n.e(335).then(n.bind(n,4984)),meta:{d:171288e7,l:"2024年4月12日",c:["tec","typora"],g:["tec"],e:'\nTyposa快捷键 \n\n还是github主题好看😄
\n \n\n较全面的快捷键的网站：快捷键网站 \n我认为的比较常用的：\n\n选中当前格式的文本：ctrl+e \n选中当前词：ctrl+d 选中当前行：ctrl+l 标题：ctrl+1/2/3/4/5 \n段落：ctrl+0 \n表格：ctrl+t \n代码块：ctrl+shift+k 公式块：ctrl+shift+m 引用：ctrl+shift+q 有序列表：ctrl+shift+[ 无序列表：ctrl+shift+] 加粗：ctrl+b \n斜体：ctrl+I(大写的i) \n超链接：ctrl+k \n图像：ctrl+shift+I(大写的i) \n大纲视图：ctrl+shift+1 \n打字机模式：f9 \n主题：alt+a \n分割线： ***字体高亮 ：ctrl+shift+h字体增添背景：英文输入下，tab上方的按键 \n \n ',r:{minutes:.63,words:190},t:"Typosa语法",i:"pen-to-square",y:"a"}}],["/posts/tec/linux.html",{loader:()=>n.e(420).then(n.bind(n,3431)),meta:{d:171288e7,l:"2024年4月12日",c:["tec","linux"],g:["tec"],e:'\ntop \ntop 命令用来查看服务器资源使用情况。命令行输入top，显示结果如下：分别展示了各个进程的内存使用情况；运行时间等信息。
\n\n要按照内存从大到小排列则输入: shift+m
\n\n输入c,全部显示command列（可能出现部分遮挡的情况，可以适当拖动窗口）
\nimage-20240320151014799 按q退出
\ntmux \n\n\n较全面的网站：快捷键网站
\n \n\n认为常用的：
\n\n\n查看所有会话：tmux ls
\n \n\n新建窗口：tmux new -s session-name
\n \n\n分离会话：exit
\n \n\n重新连接会话：tmux at -t session-name
\n \n\n切换会话：tmux switch -t session-name
\n \n\n杀死会话：tmux kill -sesstion -t session-name
\n \n \n \n\n出现大量...的情况：
\n\n \n ',r:{minutes:.82,words:247},t:"linux相关指令",i:"pen-to-square",y:"a"}}],["/posts/tec/vue.html",{loader:()=>n.e(542).then(n.bind(n,8216)),meta:{d:17129664e5,l:"2024年4月13日",c:["tec","vue"],g:["tec"],e:"\n本文总结了在window上基于vuepress搭建个人博客的经历及所踩过的坑。。
\n最初的设想是先在本地搭建成功之后，再通过github部署，方便个人访问及分享。因此思路主要如下：
\nstep 1: 通过网络搜索教程，熟悉vuepress相关代码及搭建流程，在个人电脑上进行测试。
\nstep 2: 在本地部署成功之后，通过个人的github搭建仓库，以sh命令集成指令，自动化提交到分支。
\n最终没想到在step 1就耗费了非常多的时间和精力，以下总结相关错误及要点：
\n要点 1：将exports写成export，导致每次新增区块如侧边栏或者导航栏都得不到想要的效果，耗费过于长的时间
",r:{minutes:3.69,words:1108},t:"基于vuepress搭建个人博客",i:"pen-to-square",y:"a"}}],["/posts/work/code.html",{loader:()=>n.e(153).then(n.bind(n,3359)),meta:{d:171288e7,l:"2024年4月12日",c:["tec","code"],g:["tec"],e:"\ncode \n\n\n链表
\n\n环的入口节点，如果一链表中包含环，如何确定环的起点
\nimage-20240304212702894 解法：双指针，通过快慢指针找到处于环中的节点，快指针每次走两步，慢指针每次走一步，由于链表存在环，因此最终肯定会碰上（快的会追上慢的，rectify:快指针多走n步，随后两个指针每次都是走一步），重复的位置就是处于环中的节点。接着如果快慢指针每次走的步长相差为环的长度的整数倍，则最终必会在入口处碰上 (rectify:初始时，快指针多走环的长度的步长，接着每次都走一步)，问题转化为寻找环的长度的问题，环的长度可以通过单指针实现，在步骤一中得到的起始节点出发，走一遍，并进行计数，最终就能得到环的长度。接着进行步骤二就能找到入口节点。
\n \n \n ",r:{minutes:2.88,words:863},t:"算法",i:"pen-to-square",y:"a"}}],["/posts/work/deeplearning.html",{loader:()=>n.e(132).then(n.bind(n,4419)),meta:{d:171288e7,l:"2024年4月12日",c:["work","deeplearning"],g:["work"],e:'\n\n\n跨层参数共享
\n\n \n \n\n优点：需保存的参数量降低，减少存储成本。减少训练时间
\n缺点：推理时间仍然一样
\n \n\n\n共享不同参数层的结果
\n \n\n\n词向量因式分解
\n\n引入一全连接层，将词向量维度降维，达到降低transformer中隐层维度的目的
\n \n \n\n渐进式知识蒸馏
\n\nMobileBERT:学生模型开始学习教师模型的第一层，接下来学习教师模型的第二层，而此时学生模型的第一层权重是不参与更新的。依此类推。
\n \n \n\n注意力机制的改进（longformer）
\n\n\n\n滑动窗口注意力
\n当前token仅与左右k/2个token窗口内的token计算注意力
\n \n\n扩张窗口注意力
\n在窗口内不是与所有token计算注意力而是进行采样，与窗口内被采样到的token计算注意力（采样间隔）
\n \n\n全局+滑动窗口
\n将QKV映射两种不同的子空间，这两种不同的QK,分别计算全局（与具体任务有关，如具有全局视角的CLS，则该token可以关注其他所有token的信息）和滑动窗口注意力
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diff --git a/assets/js/code.html.66a38ed4.js b/assets/js/code.html.66a38ed4.js
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index 00000000..73bcdbff
--- /dev/null
+++ b/assets/js/code.html.66a38ed4.js
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+"use strict";(self.webpackChunkvuepress_theme_hope_template=self.webpackChunkvuepress_theme_hope_template||[]).push([[153],{6262:(e,t)=>{t.A=(e,t)=>{const n=e.__vccOpts||e;for(const[e,i]of t)n[e]=i;return n}},3359:(e,t,n)=>{n.r(t),n.d(t,{comp:()=>s,data:()=>d});var i=n(641);const o=n.p+"assets/img/image-20240304212702894.43df814b.png",a=n.p+"assets/img/image-20240304214814123.7ebb5f5c.png",p=n.p+"assets/img/image-20240304221018613.498bf741.png",l=n.p+"assets/img/image-20240307135602509.a45d0038.png",r=[(0,i.Fv)('链表
环的入口节点，如果一链表中包含环，如何确定环的起点
image-20240304212702894 解法：双指针，通过快慢指针找到处于环中的节点，快指针每次走两步，慢指针每次走一步，由于链表存在环，因此最终肯定会碰上（快的会追上慢的，rectify:快指针多走n步，随后两个指针每次都是走一步），重复的位置就是处于环中的节点。接着如果快慢指针每次走的步长相差为环的长度的整数倍，则最终必会在入口处碰上 (rectify:初始时，快指针多走环的长度的步长，接着每次都走一步)，问题转化为寻找环的长度的问题，环的长度可以通过单指针实现，在步骤一中得到的起始节点出发，走一遍，并进行计数，最终就能得到环的长度。接着进行步骤二就能找到入口节点。
链表中倒数第K个节点
解法：双指针，快指针初始多走k（k-1 ）步，接着每次都走一步，快指针到终点时，慢指针刚好指向倒数第k个节点。
image-20240304214814123 调整数组顺序使奇数位于偶数前面
解法：双指针，奇偶（分别向中心移动），奇奇（while到奇数 左指针+1），偶偶（右指针-1），偶奇（交换）
2，1，4，5，3
3，1，4，5，2
3，1，5，4，2
删除链表的节点：给定单向链表的头指针和一个节点指针，定义一个函数在O(1)时间内删除该节点 解法：有了要删除的节点指针，可以知道该节点的下一个节点，把下一个节点的值赋值给要删除的节点，将当前节点的next指向下下个节点，除此之外还需要把待删除节点指向的下一个节点删除 。倘若在尾部，只能顺序查找删除
image-20240304221018613 时间复杂度的分析
((n-1)*O(1)+O(n))/n=O(1a)
双指针
打印从1到最大的n位数
常规做法会出现越界问题，考点是字符串的数字加法及终止条件的判定
数值的整数次方
解法：先举例子
二进制中1的个数
解法：输入的二进制数与0001进行与运算，若为1则说明最低位存在1，接着左移一位，得到0010，即与输入的二进制数的次低位进行与运算，判断次低位是否为1，以此类推
反转链表
解法：由于当前节点和下个节点的顺序反转后，链表出现了断裂，即下个节点与下下个节点之间的链接出现断裂，因此需要记录三个节点的信息，
prev_node = nullptr\nwhile(p->node!=nullptr)\n{\nnext_node = p->node->next\np->node->next = prev_node\nprev_node = p->node\np->node = next_node\n}\n合并两个排序链表
解法：比较两个链表头节点的大小，将小的一个作为合并后链表的头节点，接着继续合并链表中的剩余节点
mergehead\nif phead1->value < phead2->value:\n\tmergehead=phead1\n\tmergehead=\n树的子结构
**
二叉树的镜像
code \\n\\n\\n链表
\\n\\n环的入口节点，如果一链表中包含环，如何确定环的起点
\\nimage-20240304212702894 解法：双指针，通过快慢指针找到处于环中的节点，快指针每次走两步，慢指针每次走一步，由于链表存在环，因此最终肯定会碰上（快的会追上慢的，rectify:快指针多走n步，随后两个指针每次都是走一步），重复的位置就是处于环中的节点。接着如果快慢指针每次走的步长相差为环的长度的整数倍，则最终必会在入口处碰上 (rectify:初始时，快指针多走环的长度的步长，接着每次都走一步)，问题转化为寻找环的长度的问题，环的长度可以通过单指针实现，在步骤一中得到的起始节点出发，走一遍，并进行计数，最终就能得到环的长度。接着进行步骤二就能找到入口节点。
\\n \\n \\n ","autoDesc":true}')}}]);
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diff --git a/assets/js/deeplearning.html.158af5bb.js b/assets/js/deeplearning.html.158af5bb.js
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+++ b/assets/js/deeplearning.html.158af5bb.js
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+"use strict";(self.webpackChunkvuepress_theme_hope_template=self.webpackChunkvuepress_theme_hope_template||[]).push([[132],{6262:(e,t)=>{t.A=(e,t)=>{const o=e.__vccOpts||e;for(const[e,p]of t)o[e]=p;return o}},4419:(e,t,o)=>{o.r(t),o.d(t,{comp:()=>m,data:()=>u});var p=o(641);const i=o.p+"assets/img/image-20240229120637462.325779dc.png",l=o.p+"assets/img/image-20240229120702532.896cc3a9.png",n=o.p+"assets/img/image-20240229161624322.3c2a2237.png",a=o.p+"assets/img/image-20240229165723875.5005803e.png",r=o.p+"assets/img/image-20240229160945980.3ac72b30.png",c=o.p+"assets/img/image-20240304161829784.ddfa78f6.png",s=[(0,p.Fv)('跨层参数共享
优点：需保存的参数量降低，减少存储成本。减少训练时间
缺点：推理时间仍然一样
共享不同参数层的结果
词向量因式分解
引入一全连接层，将词向量维度降维，达到降低transformer中隐层维度的目的
渐进式知识蒸馏
MobileBERT:学生模型开始学习教师模型的第一层，接下来学习教师模型的第二层，而此时学生模型的第一层权重是不参与更新的。依此类推。
注意力机制的改进（longformer）
滑动窗口注意力
当前token仅与左右k/2个token窗口内的token计算注意力
扩张窗口注意力
在窗口内不是与所有token计算注意力而是进行采样，与窗口内被采样到的token计算注意力（采样间隔）
全局+滑动窗口
将QKV映射两种不同的子空间，这两种不同的QK,分别计算全局（与具体任务有关，如具有全局视角的CLS，则该token可以关注其他所有token的信息）和滑动窗口注意力
缺失模态下的情感分析 首先，预训练，基于MLM策略（动态掩码（Robeta）/静态掩码）
接着，基于预训练好的的重建模型，提取特征，模态融合模块，进行情感预测
相关的掩码策略（NLP，BART） 单词掩码，在输入文本中随机采样一部分单词，并且替换为掩码标记如[MASK]
单词删除，随机采样一部分单词并且删除。在预测缺失单词的同时还需要确定缺失单词的位置
句子排列变换。将多个句子的顺序随机打乱
文档旋转变换
文本填充
实体级别掩码，在普通的单词掩码中，模型只需要根据J.与Rowling就可以做出正确的预测，而无法学习到更高层次的语义
image-20240229165723875 image-20240229160945980 门控策略 输入信号经非线性变换映射至[0,1]，得到门控向量，与原始输入进行元素点乘 bert相关 词向量编码，块编码，位置编码
词向量编码由独热向量经由词向量矩阵（可学习参数矩阵）映射得到
块编码指的是当前token属于哪一句子，属于句子0则编码为0，属于句子1则编码为1，以此类推。运用块向量矩阵进行映射得到最终的块编码
位置编码则是将按单词顺序转换为独热编码，再经由位置向量矩阵转换为位置编码
MLM实现
在得到掩码位置的隐向量后，经由词向量矩阵，映射到词表空间，之后经softmax操作得到词表中的词对应该掩码位置的概率，取max即为预测的单词，模型对第i个掩码位置的预测概率的计算如下： $$ P(i)=Softmax(h_{i}W_{}^{T}+b) $$
整词掩码：掩码的最小粒度为单词级而非wordpiece级，提升了mlm任务的难度，模型在预测掩码词时，需要更多依靠上下文信息，有助于提升模型对输入文本语义信息的挖掘
需要注意的是，整词掩码中，子词的掩码方式可以是替换为[MASK]，随机词或者保留原词，三选一；各个子词均会受到掩码；掩码的方式受到概率控制
下游任务
抽取式阅读理解：将问题和篇章输入至模型，问题在前，篇章在后，篇章超过最大允许输入长度时，分段输入。在获取得到每个位置起点、终点位置的概率，分别取top-k个，假设起点终点位置相互独立，则联合概率为二者相乘，得到一个[start,end,prob]的三元组，数量为k*k个，添加限制条件start<end，筛选得到最终的结果。
\\n\\n跨层参数共享
\\n\\n \\n \\n\\n优点：需保存的参数量降低，减少存储成本。减少训练时间
\\n缺点：推理时间仍然一样
\\n \\n\\n\\n共享不同参数层的结果
\\n \\n\\n\\n词向量因式分解
\\n\\n引入一全连接层，将词向量维度降维，达到降低transformer中隐层维度的目的
\\n \\n \\n\\n渐进式知识蒸馏
\\n\\nMobileBERT:学生模型开始学习教师模型的第一层，接下来学习教师模型的第二层，而此时学生模型的第一层权重是不参与更新的。依此类推。
\\n \\n \\n\\n注意力机制的改进（longformer）
\\n\\n\\n\\n滑动窗口注意力
\\n当前token仅与左右k/2个token窗口内的token计算注意力
\\n \\n\\n扩张窗口注意力
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+"use strict";(self.webpackChunkvuepress_theme_hope_template=self.webpackChunkvuepress_theme_hope_template||[]).push([[989],{6262:(n,t)=>{t.A=(n,t)=>{const i=n.__vccOpts||n;for(const[n,l]of t)i[n]=l;return i}},9857:(n,t,i)=>{i.r(t),i.d(t,{comp:()=>c,data:()=>u});var l=i(641);const p=(0,l.Lk)("h1",{id:"语句摘抄",tabindex:"-1"},[(0,l.Lk)("a",{class:"header-anchor",href:"#语句摘抄"},[(0,l.Lk)("span",null,"语句摘抄")])],-1),e=(0,l.Fv)("我与众不同，我很独特。无论我外表看起来多么普通，但在心灵深处，我深知自己是独一无二的奇迹。
不可能一次就中，师兄都没有一次就中，就算不中，也可以换个故事重新投；要求做实验的话，再自己多思考，多交流，网上查找资料进行回复
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归纳，总结，思考
5W1H法则，为什么用法要注意，因为要求回答者追求答案的逻辑性。
请求别人帮忙的时候，要是能给出一个理由，成功的概率更大。这个理由如果能引起对方的共鸣，那就更加完美
人们选择那些与自身利益和情绪密切相关的事件运用理智思考，而忽视那些不感兴趣不相干的事凭借本能自动处理。要选择重要的问题并且投入精力，比处理问题还重要。
交情不够，少说几句
学会聆听，学会发现对方感兴趣的话题，引导对方说下去
避免争论，勇于认错，学会赞美
真心实意感谢他人
你的心界愈空灵，你也不觉得物界喧嘈，所谓忙中静趣
人的乐趣一半得之活动（行动起来，诸如运动，清理，培养兴趣等，闲人大半易于发愁），也还有一半得之于感受（欣赏美，感受风景，感受细微，感受生活）
及格是一种心态
你没喜欢每一个人的义务，你有厌恶任何一个人的理由，但对每一个人，你都要给予基本的尊重，包括你厌恶的人
如果你的亲人是普通阶层，那对于人生中一些大事来说，他们给的建议往往就是普通阶层的思维，他们的阶层就是他们一生思维决策的结果，如果你的目标是跳出本阶层，那最好只把他们的建议当成参考。
不要和你的同事比工资，没有意义，比工资总会有人受伤，更多的是负面影响，并且很多时候受伤的会是你。
不要说一项技能没有用，任何你掌握的技能都有价值，但是你要学会找到发挥它的场景。如果有一天你落水了，你可能会很庆幸，自己以前学会了游泳。
工作中如果要上升，你要勇于承担麻烦的、有挑战的任务，当你推掉麻烦的时候，你也推掉了机遇。
很多人喜欢不停的做事，但不会停下来思考，缺乏总结复盘的能力，其实阶段性总结复盘，不仅能够固化前面的经验，也能梳理后面的方向；把事情做对很重要，但是更重要的是做对的事；另外不要贪快，方向正确慢就是快
不要因为某人的外在，如外貌、习惯、学历等对人贴上标签，去盲目否定别人，对于别人的建议，应该从客观出发，综合分析，从善如流是一项非常难得的品质。
\\n\\n我与众不同，我很独特。无论我外表看起来多么普通，但在心灵深处，我深知自己是独一无二的奇迹。
\\n \\n\\n不可能一次就中，师兄都没有一次就中，就算不中，也可以换个故事重新投；要求做实验的话，再自己多思考，多交流，网上查找资料进行回复
\\n \\n\\n要更好实现自身价值，一是始终保持学习和研究事物的热情；二是至少找准一个领域持之以恒、久久为功。
\\n \\n\\n归纳，总结，思考
\\n \\n\\n5W1H法则，为什么用法要注意，因为要求回答者追求答案的逻辑性。
\\n\\n站在对方的立场，换位思考 \\n提容易回答的问题 \\n \\n \\n\\n请求别人帮忙的时候，要是能给出一个理由，成功的概率更大。这个理由如果能引起对方的共鸣，那就更加完美
\\n \\n\\n人们选择那些与自身利益和情绪密切相关的事件运用理智思考，而忽视那些不感兴趣不相干的事凭借本能自动处理。要选择重要的问题并且投入精力，比处理问题还重要。
\\n \\n\\n交情不够，少说几句
\\n \\n\\n学会聆听，学会发现对方感兴趣的话题，引导对方说下去
\\n \\n\\n避免争论，勇于认错，学会赞美
\\n \\n\\n真心实意感谢他人
\\n \\n\\n你的心界愈空灵，你也不觉得物界喧嘈，所谓忙中静趣
\\n \\n\\n人的乐趣一半得之活动（行动起来，诸如运动，清理，培养兴趣等，闲人大半易于发愁），也还有一半得之于感受（欣赏美，感受风景，感受细微，感受生活）
\\n \\n\\n烂开始，短平快（按周期步骤分解，减小阻力），多迭代（设定每轮迭代的目标）
\\n\\n提升执行力
\\n \\n \\n\\n及格是一种心态
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\\n \\n\\n很多人喜欢不停的做事，但不会停下来思考，缺乏总结复盘的能力，其实阶段性总结复盘，不仅能够固化前面的经验，也能梳理后面的方向；把事情做对很重要，但是更重要的是做对的事；另外不要贪快，方向正确慢就是快
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diff --git a/assets/js/layout.html.b872f028.js b/assets/js/layout.html.b872f028.js
new file mode 100644
index 00000000..8b348971
--- /dev/null
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diff --git a/assets/js/linux.html.afc0fd67.js b/assets/js/linux.html.afc0fd67.js
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index 00000000..41c903e7
--- /dev/null
+++ b/assets/js/linux.html.afc0fd67.js
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新建窗口：tmux new -s session-name
分离会话：exit
重新连接会话：tmux at -t session-name
切换会话：tmux switch -t session-name
杀死会话：tmux kill -sesstion -t session-name
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\\n\\n要按照内存从大到小排列则输入: shift+m
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\\nimage-20240320151014799 按q退出
\\ntmux \\n\\n\\n较全面的网站：快捷键网站
\\n \\n\\n认为常用的：
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\\n \\n\\n分离会话：exit
\\n \\n\\n重新连接会话：tmux at -t session-name
\\n \\n\\n切换会话：tmux switch -t session-name
\\n \\n\\n杀死会话：tmux kill -sesstion -t session-name
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\ No newline at end of file
diff --git a/assets/js/markdown.html.494b784d.js b/assets/js/markdown.html.494b784d.js
new file mode 100644
index 00000000..b9e729a7
--- /dev/null
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\\n你应该创建和编写 Markdown 文件，以便 VuePress 可以根据文件结构将它们转换为不同的页面。
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\ No newline at end of file
diff --git a/assets/js/page.html.fd98eafa.js b/assets/js/page.html.fd98eafa.js
new file mode 100644
index 00000000..b72ebd9b
--- /dev/null
+++ b/assets/js/page.html.fd98eafa.js
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你可以在 Markdown 的 Frontmatter 中设置页面信息。
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图片引入
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\ No newline at end of file
diff --git a/assets/js/paper_reading.html.fd1e95bf.js b/assets/js/paper_reading.html.fd1e95bf.js
new file mode 100644
index 00000000..4d0dfc91
--- /dev/null
+++ b/assets/js/paper_reading.html.fd1e95bf.js
@@ -0,0 +1 @@
+"use strict";(self.webpackChunkvuepress_theme_hope_template=self.webpackChunkvuepress_theme_hope_template||[]).push([[983],{6262:(e,a)=>{a.A=(e,a)=>{const t=e.__vccOpts||e;for(const[e,n]of a)t[e]=n;return t}},2071:(e,a,t)=>{t.r(a),t.d(a,{comp:()=>g,data:()=>k});var n=t(641);const i=t.p+"assets/img/image-20240320140335166.c43c7d7e.png",r=t.p+"assets/img/image-20240320134318989.0388bc97.png",o=t.p+"assets/img/image-20240311144051942.281e140b.png",l=t.p+"assets/img/image-20240311150509143.2bba9701.png",p=t.p+"assets/img/image-20240314174857894.9c52b0dd.png",s=(0,n.Fv)(' 一段视频输入talknet得到可能的说话人的帧序列（有可能是错误的，因此需要后续的匹配操作），将这些帧序列进行聚类，由于meld数据集包含6个不同的说话人，因此，预先从数据集中得到每个人20张不同角度的人脸图片，针对聚类完成得到可能说话人的帧序列，经由resnet-50(pretrained on face recongnition dataset)提取对应的特征，计算相似度得到最终的结果
前向两次，分别得到完整模态，缺失模态的结果
在不同epoch下的同一样本，缺失的time step是一样的。而cutoff则是不一样的。能否在训练时人为构造更多的缺失样本，一方面可以避免过拟合，一方面模拟更多真实世界的缺失模态情况
跨层参数共享，global2local的attention,将注意力的计算降低至线性复杂度
端到端的方式；情感词的识别与replace；asr error；语音的背景噪声（人声分离？）；图像中人脸角度，不同光照，人脸缺失，运动模糊
三种模态在对齐的情况下，设置了三种不一样的缺失情况：三种模态缺失的位置均不一致（随机位置缺失）；三种模态缺失的位置一致（连续片段缺失，随机位置缺失）
提出不同的mask机制，解决未对齐序列缺失模态的问题
图中橘色部分有： $$ Y_{[multi]} = CA_{L->[multi]}([multi],Z_{L})+CA_{A->[multi]}([multi],Z_{A})+SA([multi]) $$
构造两种不同的mask,一种学习模态内部的交互，一种学习模态间的交互。并采用balence策略
image-20240311150509143 第一篇，关键是balence所生成的样本类别数目，作者对每一类选取top-k置信度的样本，保证了重新训练时样本数量的平衡
门控机制
单一视角（intra） vs 多视角（inter）
有的时候，我们仅仅通过单一一种模态，便能做出很好的感情推断，无需其他模态的帮助：
only inf from text:
a lot of sad parts there is sad part 但有时我们需要借助其他模态的帮助(交互信息)从而准确判断主体的情感：
inf from text and visual:
netural text: AND THERE BUT THEYRE NOT HUGE GLARING FLAWS
negative video: frown
元学习相关资料：https://zhuanlan.zhihu.com/p/72920138，https://zhuanlan.zhihu.com/p/57864886
https://zhuanlan.zhihu.com/p/439554945
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations \\n\\t一段视频输入talknet得到可能的说话人的帧序列（有可能是错误的，因此需要后续的匹配操作），将这些帧序列进行聚类，由于meld数据集包含6个不同的说话人，因此，预先从数据集中得到每个人20张不同角度的人脸图片，针对聚类完成得到可能说话人的帧序列，经由resnet-50(pretrained on face recongnition dataset)提取对应的特征，计算相似度得到最终的结果
","autoDesc":true}')}}]);
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diff --git a/assets/js/paper_writing.html.e3cc4ca2.js b/assets/js/paper_writing.html.e3cc4ca2.js
new file mode 100644
index 00000000..9e023c3c
--- /dev/null
+++ b/assets/js/paper_writing.html.e3cc4ca2.js
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+"use strict";(self.webpackChunkvuepress_theme_hope_template=self.webpackChunkvuepress_theme_hope_template||[]).push([[807],{6262:(e,t)=>{t.A=(e,t)=>{const a=e.__vccOpts||e;for(const[e,o]of t)a[e]=o;return a}},143:(e,t,a)=>{a.r(t),a.d(t,{comp:()=>c,data:()=>h});var o=a(641);const p=(0,o.Fv)('关于splncs04引用格式,该风格是根据文章作者首字母进行排序后进行引用,有时候我们不需要排序,而是根据引用顺序在文章中标号即可,因此需要修改splncs04文件,将SORTZ注释改为splncs04_unsort格式即可,参考链接：https://zhuanlan.zhihu.com/p/427371287.
语法修改: As a professional academic English editor, you are asked to revise the grammar of the following passage and list the changes made to each section.
语言翻译: As a professional academic English editor , you are asked to translate the following paragraph into English.
语言润色: As a professional academic English editor, you are asked to revise the following passage using academic language and logic, and list the changes made to each section.
固定期刊角度润色:
You're a top university professor and a reviewer from AIC journal. l will provide you with my written text. You need to do the tasksbelow:
List proofread suggestions for improvement.
Write me a polished version according to the writing and wording styles of abovejournals.
Do you understand?
According to your knowledge about XXX and XXX, is there a better way to write the above paragraph, please help to revise it so that it can be used in academic papers.
Polish and rewrite the above content to make it more in line with the style of academic papers, and at the same time, it can be more professional. If there are parts that do not conform to facts or logic, please refer to the part of xxxxx(参考原理) for the above content modification.
1. splncs04 引用格式 \\n关于splncs04引用格式,该风格是根据文章作者首字母进行排序后进行引用,有时候我们不需要排序,而是根据引用顺序在文章中标号即可,因此需要修改splncs04文件,将SORTZ注释改为splncs04_unsort格式即可,参考链接：https://zhuanlan.zhihu.com/p/427371287.
\\n2. chatgpt prompt \\n\\n以下内容来自：
\\nchatgpt 科研辅助笔记
\\n建议收藏：超详细ChatGPT(GPT 4.0)论文润色指南
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0!==i?i:0))/(this.pswp.viewportSize.y/3)}_setPanWithFriction(t,i,e){const{currSlide:s}=this.pswp;if(!s)return;const{pan:n,bounds:o}=s;if(o.correctPan(t,i)!==i||e){const s=Math.round(i-n[t]);n[t]+=s*(e||.35)}else n[t]=i}}function C(t,i,e){return t.x=(i.x+e.x)/2,t.y=(i.y+e.y)/2,t}class I{constructor(t){this.gestures=t,this._startPan={x:0,y:0},this._startZoomPoint={x:0,y:0},this._zoomPoint={x:0,y:0},this._wasOverFitZoomLevel=!1,this._startZoomLevel=1}start(){const{currSlide:t}=this.gestures.pswp;t&&(this._startZoomLevel=t.currZoomLevel,n(this._startPan,t.pan)),this.gestures.pswp.animations.stopAllPan(),this._wasOverFitZoomLevel=!1}change(){const{p1:t,startP1:i,p2:e,startP2:s,pswp:n}=this.gestures,{currSlide:o}=n;if(!o)return;const h=o.zoomLevels.min,r=o.zoomLevels.max;if(!o.isZoomable()||n.mainScroll.isShifted())return;C(this._startZoomPoint,i,s),C(this._zoomPoint,t,e);let l=1/a(i,s)*a(t,e)*this._startZoomLevel;if(l>o.zoomLevels.initial+o.zoomLevels.initial/15&&(this._wasOverFitZoomLevel=!0),lr&&(l=r+.05*(l-r));o.pan.x=this._calculatePanForZoomLevel("x",l),o.pan.y=this._calculatePanForZoomLevel("y",l),o.setZoomLevel(l),o.applyCurrentZoomPan()}end(){const{pswp:t}=this.gestures,{currSlide:i}=t;(!i||i.currZoomLevele.zoomLevels.max?o=e.zoomLevels.max:(a=!1,o=s);const l=i.bgOpacity,p=i.bgOpacity<1,d=n({x:0,y:0},e.pan);let c=n({x:0,y:0},d);t&&(this._zoomPoint.x=0,this._zoomPoint.y=0,this._startZoomPoint.x=0,this._startZoomPoint.y=0,this._startZoomLevel=s,n(this._startPan,d)),a&&(c={x:this._calculatePanForZoomLevel("x",o),y:this._calculatePanForZoomLevel("y",o)}),e.setZoomLevel(o),c={x:e.bounds.correctPan("x",c.x),y:e.bounds.correctPan("y",c.y)},e.setZoomLevel(s);const m=!h(c,d);if(!m&&!a&&!p)return e._setResolution(o),void e.applyCurrentZoomPan();i.animations.stopAllPan(),i.animations.startSpring({isPan:!0,start:0,end:1e3,velocity:0,dampingRatio:1,naturalFrequency:40,onUpdate:t=>{if(t/=1e3,m||a){if(m&&(e.pan.x=d.x+(c.x-d.x)*t,e.pan.y=d.y+(c.y-d.y)*t),a){const i=s+(o-s)*t;e.setZoomLevel(i)}e.applyCurrentZoomPan()}p&&i.bgOpacity<1&&i.applyBgOpacity(r(l+(1-l)*t,0,1))},onComplete:()=>{e._setResolution(o),e.applyCurrentZoomPan()}})}}function L(t){return!!t.target.closest(".pswp__container")}class A{constructor(t){this.gestures=t}click(t,i){const e=i.target.classList,s=e.contains("pswp__img"),n=e.contains("pswp__item")||e.contains("pswp__zoom-wrap");s?this._doClickOrTapAction("imageClick",t,i):n&&this._doClickOrTapAction("bgClick",t,i)}tap(t,i){L(i)&&this._doClickOrTapAction("tap",t,i)}doubleTap(t,i){L(i)&&this._doClickOrTapAction("doubleTap",t,i)}_doClickOrTapAction(t,i,e){var s;const{pswp:n}=this.gestures,{currSlide:o}=n,a=t+"Action",h=n.options[a];if(!n.dispatch(a,{point:i,originalEvent:e}).defaultPrevented)if("function"!=typeof h)switch(h){case"close":case"next":n[h]();break;case"zoom":null==o||o.toggleZoom(i);break;case"zoom-or-close":null!=o&&o.isZoomable()&&o.zoomLevels.secondary!==o.zoomLevels.initial?o.toggleZoom(i):n.options.clickToCloseNonZoomable&&n.close();break;case"toggle-controls":null===(s=this.gestures.pswp.element)||void 0===s||s.classList.toggle("pswp--ui-visible")}else h.call(n,i,e)}}class T{constructor(t){this.pswp=t,this.dragAxis=null,this.p1={x:0,y:0},this.p2={x:0,y:0},this.prevP1={x:0,y:0},this.prevP2={x:0,y:0},this.startP1={x:0,y:0},this.startP2={x:0,y:0},this.velocity={x:0,y:0},this._lastStartP1={x:0,y:0},this._intervalP1={x:0,y:0},this._numActivePoints=0,this._ongoingPointers=[],this._touchEventEnabled="ontouchstart"in window,this._pointerEventEnabled=!!window.PointerEvent,this.supportsTouch=this._touchEventEnabled||this._pointerEventEnabled&&navigator.maxTouchPoints>1,this._numActivePoints=0,this._intervalTime=0,this._velocityCalculated=!1,this.isMultitouch=!1,this.isDragging=!1,this.isZooming=!1,this.raf=null,this._tapTimer=null,this.supportsTouch||(t.options.allowPanToNext=!1),this.drag=new z(this),this.zoomLevels=new I(this),this.tapHandler=new A(this),t.on("bindEvents",(()=>{t.events.add(t.scrollWrap,"click",this._onClick.bind(this)),this._pointerEventEnabled?this._bindEvents("pointer","down","up","cancel"):this._touchEventEnabled?(this._bindEvents("touch","start","end","cancel"),t.scrollWrap&&(t.scrollWrap.ontouchmove=()=>{},t.scrollWrap.ontouchend=()=>{})):this._bindEvents("mouse","down","up")}))}_bindEvents(t,i,e,s){const{pswp:n}=this,{events:o}=n,a=s?t+s:"";o.add(n.scrollWrap,t+i,this.onPointerDown.bind(this)),o.add(window,t+"move",this.onPointerMove.bind(this)),o.add(window,t+e,this.onPointerUp.bind(this)),a&&o.add(n.scrollWrap,a,this.onPointerUp.bind(this))}onPointerDown(t){const i="mousedown"===t.type||"mouse"===t.pointerType;if(i&&t.button>0)return;const{pswp:e}=this;e.opener.isOpen?e.dispatch("pointerDown",{originalEvent:t}).defaultPrevented||(i&&(e.mouseDetected(),this._preventPointerEventBehaviour(t,"down")),e.animations.stopAll(),this._updatePoints(t,"down"),1===this._numActivePoints&&(this.dragAxis=null,n(this.startP1,this.p1)),this._numActivePoints>1?(this._clearTapTimer(),this.isMultitouch=!0):this.isMultitouch=!1):t.preventDefault()}onPointerMove(t){this._preventPointerEventBehaviour(t,"move"),this._numActivePoints&&(this._updatePoints(t,"move"),this.pswp.dispatch("pointerMove",{originalEvent:t}).defaultPrevented||(1!==this._numActivePoints||this.isDragging?this._numActivePoints>1&&!this.isZooming&&(this._finishDrag(),this.isZooming=!0,this._updateStartPoints(),this.zoomLevels.start(),this._rafStopLoop(),this._rafRenderLoop()):(this.dragAxis||this._calculateDragDirection(),this.dragAxis&&!this.isDragging&&(this.isZooming&&(this.isZooming=!1,this.zoomLevels.end()),this.isDragging=!0,this._clearTapTimer(),this._updateStartPoints(),this._intervalTime=Date.now(),this._velocityCalculated=!1,n(this._intervalP1,this.p1),this.velocity.x=0,this.velocity.y=0,this.drag.start(),this._rafStopLoop(),this._rafRenderLoop()))))}_finishDrag(){this.isDragging&&(this.isDragging=!1,this._velocityCalculated||this._updateVelocity(!0),this.drag.end(),this.dragAxis=null)}onPointerUp(t){this._numActivePoints&&(this._updatePoints(t,"up"),this.pswp.dispatch("pointerUp",{originalEvent:t}).defaultPrevented||(0===this._numActivePoints&&(this._rafStopLoop(),this.isDragging?this._finishDrag():this.isZooming||this.isMultitouch||this._finishTap(t)),this._numActivePoints<2&&this.isZooming&&(this.isZooming=!1,this.zoomLevels.end(),1===this._numActivePoints&&(this.dragAxis=null,this._updateStartPoints()))))}_rafRenderLoop(){(this.isDragging||this.isZooming)&&(this._updateVelocity(),this.isDragging?h(this.p1,this.prevP1)||this.drag.change():h(this.p1,this.prevP1)&&h(this.p2,this.prevP2)||this.zoomLevels.change(),this._updatePrevPoints(),this.raf=requestAnimationFrame(this._rafRenderLoop.bind(this)))}_updateVelocity(t){const i=Date.now(),e=i-this._intervalTime;e<50&&!t||(this.velocity.x=this._getVelocity("x",e),this.velocity.y=this._getVelocity("y",e),this._intervalTime=i,n(this._intervalP1,this.p1),this._velocityCalculated=!0)}_finishTap(t){const{mainScroll:i}=this.pswp;if(i.isShifted())return void i.moveIndexBy(0,!0);if(t.type.indexOf("cancel")>0)return;if("mouseup"===t.type||"mouse"===t.pointerType)return void this.tapHandler.click(this.startP1,t);const e=this.pswp.options.doubleTapAction?300:0;this._tapTimer?(this._clearTapTimer(),a(this._lastStartP1,this.startP1)<25&&this.tapHandler.doubleTap(this.startP1,t)):(n(this._lastStartP1,this.startP1),this._tapTimer=setTimeout((()=>{this.tapHandler.tap(this.startP1,t),this._clearTapTimer()}),e))}_clearTapTimer(){this._tapTimer&&(clearTimeout(this._tapTimer),this._tapTimer=null)}_getVelocity(t,i){const e=this.p1[t]-this._intervalP1[t];return Math.abs(e)>1&&i>5?e/i:0}_rafStopLoop(){this.raf&&(cancelAnimationFrame(this.raf),this.raf=null)}_preventPointerEventBehaviour(t,i){this.pswp.applyFilters("preventPointerEvent",!0,t,i)&&t.preventDefault()}_updatePoints(t,i){if(this._pointerEventEnabled){const e=t,s=this._ongoingPointers.findIndex((t=>t.id===e.pointerId));"up"===i&&s>-1?this._ongoingPointers.splice(s,1):"down"===i&&-1===s?this._ongoingPointers.push(this._convertEventPosToPoint(e,{x:0,y:0})):s>-1&&this._convertEventPosToPoint(e,this._ongoingPointers[s]),this._numActivePoints=this._ongoingPointers.length,this._numActivePoints>0&&n(this.p1,this._ongoingPointers[0]),this._numActivePoints>1&&n(this.p2,this._ongoingPointers[1])}else{const e=t;this._numActivePoints=0,e.type.indexOf("touch")>-1?e.touches&&e.touches.length>0&&(this._convertEventPosToPoint(e.touches[0],this.p1),this._numActivePoints++,e.touches.length>1&&(this._convertEventPosToPoint(e.touches[1],this.p2),this._numActivePoints++)):(this._convertEventPosToPoint(t,this.p1),"up"===i?this._numActivePoints=0:this._numActivePoints++)}}_updatePrevPoints(){n(this.prevP1,this.p1),n(this.prevP2,this.p2)}_updateStartPoints(){n(this.startP1,this.p1),n(this.startP2,this.p2),this._updatePrevPoints()}_calculateDragDirection(){if(this.pswp.mainScroll.isShifted())this.dragAxis="x";else{const t=Math.abs(this.p1.x-this.startP1.x)-Math.abs(this.p1.y-this.startP1.y);if(0!==t){const i=t>0?"x":"y";Math.abs(this.p1[i]-this.startP1[i])>=10&&(this.dragAxis=i)}}}_convertEventPosToPoint(t,i){return i.x=t.pageX-this.pswp.offset.x,i.y=t.pageY-this.pswp.offset.y,"pointerId"in t?i.id=t.pointerId:void 0!==t.identifier&&(i.id=t.identifier),i}_onClick(t){this.pswp.mainScroll.isShifted()&&(t.preventDefault(),t.stopPropagation())}}class Z{constructor(t){this.pswp=t,this.x=0,this.slideWidth=0,this._currPositionIndex=0,this._prevPositionIndex=0,this._containerShiftIndex=-1,this.itemHolders=[]}resize(t){const{pswp:i}=this,e=Math.round(i.viewportSize.x+i.viewportSize.x*i.options.spacing),s=e!==this.slideWidth;s&&(this.slideWidth=e,this.moveTo(this.getCurrSlideX())),this.itemHolders.forEach(((i,e)=>{s&&p(i.el,(e+this._containerShiftIndex)*this.slideWidth),t&&i.slide&&i.slide.resize()}))}resetPosition(){this._currPositionIndex=0,this._prevPositionIndex=0,this.slideWidth=0,this._containerShiftIndex=-1}appendHolders(){this.itemHolders=[];for(let t=0;t<3;t++){const i=s("pswp__item","div",this.pswp.container);i.setAttribute("role","group"),i.setAttribute("aria-roledescription","slide"),i.setAttribute("aria-hidden","true"),i.style.display=1===t?"block":"none",this.itemHolders.push({el:i})}}canBeSwiped(){return this.pswp.getNumItems()>1}moveIndexBy(t,i,e){const{pswp:s}=this;let n=s.potentialIndex+t;const o=s.getNumItems();if(s.canLoop()){n=s.getLoopedIndex(n);const i=(t+o)%o;t=i<=o/2?i:i-o}else n<0?n=0:n>=o&&(n=o-1),t=n-s.potentialIndex;s.potentialIndex=n,this._currPositionIndex-=t,s.animations.stopMainScroll();const a=this.getCurrSlideX();if(i){s.animations.startSpring({isMainScroll:!0,start:this.x,end:a,velocity:e||0,naturalFrequency:30,dampingRatio:1,onUpdate:t=>{this.moveTo(t)},onComplete:()=>{this.updateCurrItem(),s.appendHeavy()}});let t=s.potentialIndex-s.currIndex;if(s.canLoop()){const i=(t+o)%o;t=i<=o/2?i:i-o}Math.abs(t)>1&&this.updateCurrItem()}else this.moveTo(a),this.updateCurrItem();return Boolean(t)}getCurrSlideX(){return this.slideWidth*this._currPositionIndex}isShifted(){return this.x!==this.getCurrSlideX()}updateCurrItem(){var t;const{pswp:i}=this,e=this._prevPositionIndex-this._currPositionIndex;if(!e)return;this._prevPositionIndex=this._currPositionIndex,i.currIndex=i.potentialIndex;let s,n=Math.abs(e);n>=3&&(this._containerShiftIndex+=e+(e>0?-3:3),n=3);for(let t=0;t0?(s=this.itemHolders.shift(),s&&(this.itemHolders[2]=s,this._containerShiftIndex++,p(s.el,(this._containerShiftIndex+2)*this.slideWidth),i.setContent(s,i.currIndex-n+t+2))):(s=this.itemHolders.pop(),s&&(this.itemHolders.unshift(s),this._containerShiftIndex--,p(s.el,this._containerShiftIndex*this.slideWidth),i.setContent(s,i.currIndex+n-t-2)));Math.abs(this._containerShiftIndex)>50&&!this.isShifted()&&(this.resetPosition(),this.resize()),i.animations.stopAllPan(),this.itemHolders.forEach(((t,i)=>{t.slide&&t.slide.setIsActive(1===i)})),i.currSlide=null===(t=this.itemHolders[1])||void 0===t?void 0:t.slide,i.contentLoader.updateLazy(e),i.currSlide&&i.currSlide.applyCurrentZoomPan(),i.dispatch("change")}moveTo(t,i){if(!this.pswp.canLoop()&&i){let i=(this.slideWidth*this._currPositionIndex-t)/this.slideWidth;i+=this.pswp.currIndex;const e=Math.round(t-this.x);(i<0&&e>0||i>=this.pswp.getNumItems()-1&&e<0)&&(t=this.x+.35*e)}this.x=t,this.pswp.container&&p(this.pswp.container,t),this.pswp.dispatch("moveMainScroll",{x:t,dragging:null!=i&&i})}}const O={Escape:27,z:90,ArrowLeft:37,ArrowUp:38,ArrowRight:39,ArrowDown:40,Tab:9},D=(t,i)=>i?t:O[t];class E{constructor(t){this.pswp=t,this._wasFocused=!1,t.on("bindEvents",(()=>{t.options.trapFocus&&(t.options.initialPointerPos||this._focusRoot(),t.events.add(document,"focusin",this._onFocusIn.bind(this))),t.events.add(document,"keydown",this._onKeyDown.bind(this))}));const i=document.activeElement;t.on("destroy",(()=>{t.options.returnFocus&&i&&this._wasFocused&&i.focus()}))}_focusRoot(){!this._wasFocused&&this.pswp.element&&(this.pswp.element.focus(),this._wasFocused=!0)}_onKeyDown(t){const{pswp:i}=this;if(i.dispatch("keydown",{originalEvent:t}).defaultPrevented)return;if(function(t){return"button"in t&&1===t.button||t.ctrlKey||t.metaKey||t.altKey||t.shiftKey}(t))return;let e,s,n=!1;const o="key"in t;switch(o?t.key:t.keyCode){case D("Escape",o):i.options.escKey&&(e="close");break;case D("z",o):e="toggleZoom";break;case D("ArrowLeft",o):s="x";break;case D("ArrowUp",o):s="y";break;case D("ArrowRight",o):s="x",n=!0;break;case D("ArrowDown",o):n=!0,s="y";break;case D("Tab",o):this._focusRoot()}if(s){t.preventDefault();const{currSlide:o}=i;i.options.arrowKeys&&"x"===s&&i.getNumItems()>1?e=n?"next":"prev":o&&o.currZoomLevel>o.zoomLevels.fit&&(o.pan[s]+=n?-80:80,o.panTo(o.pan.x,o.pan.y))}e&&(t.preventDefault(),i[e]())}_onFocusIn(t){const{template:i}=this.pswp;i&&document!==t.target&&i!==t.target&&!i.contains(t.target)&&i.focus()}}const M="cubic-bezier(.4,0,.22,1)";class F{constructor(t){var i;this.props=t;const{target:e,onComplete:s,transform:n,onFinish:o=(()=>{}),duration:a=333,easing:h=M}=t;this.onFinish=o;const r=n?"transform":"opacity",l=null!==(i=t[r])&&void 0!==i?i:"";this._target=e,this._onComplete=s,this._finished=!1,this._onTransitionEnd=this._onTransitionEnd.bind(this),this._helperTimeout=setTimeout((()=>{d(e,r,a,h),this._helperTimeout=setTimeout((()=>{e.addEventListener("transitionend",this._onTransitionEnd,!1),e.addEventListener("transitioncancel",this._onTransitionEnd,!1),this._helperTimeout=setTimeout((()=>{this._finalizeAnimation()}),a+500),e.style[r]=l}),30)}),0)}_onTransitionEnd(t){t.target===this._target&&this._finalizeAnimation()}_finalizeAnimation(){this._finished||(this._finished=!0,this.onFinish(),this._onComplete&&this._onComplete())}destroy(){this._helperTimeout&&clearTimeout(this._helperTimeout),d(this._target),this._target.removeEventListener("transitionend",this._onTransitionEnd,!1),this._target.removeEventListener("transitioncancel",this._onTransitionEnd,!1),this._finished||this._finalizeAnimation()}}class B{constructor(t,i,e){this.velocity=1e3*t,this._dampingRatio=i||.75,this._naturalFrequency=e||12,this._dampedFrequency=this._naturalFrequency,this._dampingRatio<1&&(this._dampedFrequency*=Math.sqrt(1-this._dampingRatio*this._dampingRatio))}easeFrame(t,i){let e,s=0;i/=1e3;const n=Math.E**(-this._dampingRatio*this._naturalFrequency*i);if(1===this._dampingRatio)e=this.velocity+this._naturalFrequency*t,s=(t+e*i)*n,this.velocity=s*-this._naturalFrequency+e*n;else if(this._dampingRatio<1){e=1/this._dampedFrequency*(this._dampingRatio*this._naturalFrequency*t+this.velocity);const o=Math.cos(this._dampedFrequency*i),a=Math.sin(this._dampedFrequency*i);s=n*(t*o+e*a),this.velocity=s*-this._naturalFrequency*this._dampingRatio+n*(-this._dampedFrequency*t*a+this._dampedFrequency*e*o)}return s}}class R{constructor(t){this.props=t,this._raf=0;const{start:i,end:e,velocity:s,onUpdate:n,onComplete:o,onFinish:a=(()=>{}),dampingRatio:h,naturalFrequency:r}=t;this.onFinish=a;const l=new B(s,h,r);let p=Date.now(),d=i-e;const c=()=>{this._raf&&(d=l.easeFrame(d,Date.now()-p),Math.abs(d)<1&&Math.abs(l.velocity)<50?(n(e),o&&o(),this.onFinish()):(p=Date.now(),n(d+e),this._raf=requestAnimationFrame(c)))};this._raf=requestAnimationFrame(c)}destroy(){this._raf>=0&&cancelAnimationFrame(this._raf),this._raf=0}}class k{constructor(){this.activeAnimations=[]}startSpring(t){this._start(t,!0)}startTransition(t){this._start(t)}_start(t,i){const e=i?new R(t):new F(t);return this.activeAnimations.push(e),e.onFinish=()=>this.stop(e),e}stop(t){t.destroy();const i=this.activeAnimations.indexOf(t);i>-1&&this.activeAnimations.splice(i,1)}stopAll(){this.activeAnimations.forEach((t=>{t.destroy()})),this.activeAnimations=[]}stopAllPan(){this.activeAnimations=this.activeAnimations.filter((t=>!t.props.isPan||(t.destroy(),!1)))}stopMainScroll(){this.activeAnimations=this.activeAnimations.filter((t=>!t.props.isMainScroll||(t.destroy(),!1)))}isPanRunning(){return 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r=s(a,h);if(i.isButton){"button"===h&&(r.type="button");let{title:e}=i;const{ariaLabel:s}=i;"string"==typeof t.options[n+"Title"]&&(e=t.options[n+"Title"]),e&&(r.title=e);const o=s||e;o&&r.setAttribute("aria-label",o)}r.innerHTML=function(t){if("string"==typeof t)return t;if(!t||!t.isCustomSVG)return"";const i=t;let e='';return e=e.split("%d").join(i.size||32),i.outlineID&&(e+=' ",e}(o),i.onInit&&i.onInit(r,t),i.onClick&&(r.onclick=e=>{"string"==typeof i.onClick?t[i.onClick]():"function"==typeof i.onClick&&i.onClick(e,r,t)});const l=i.appendTo||"bar";let p=t.element;"bar"===l?(t.topBar||(t.topBar=s("pswp__top-bar pswp__hide-on-close","div",t.scrollWrap)),p=t.topBar):(r.classList.add("pswp__hide-on-close"),"wrapper"===l&&(p=t.scrollWrap)),null===(e=p)||void 0===e||e.appendChild(t.applyFilters("uiElement",r,i))}}function N(t,i,e){t.classList.add("pswp__button--arrow"),t.setAttribute("aria-controls","pswp__items"),i.on("change",(()=>{i.options.loop||(t.disabled=e?!(i.currIndex0))}))}const 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diff --git a/assets/js/vue.html.a3695f00.js b/assets/js/vue.html.a3695f00.js
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+"use strict";(self.webpackChunkvuepress_theme_hope_template=self.webpackChunkvuepress_theme_hope_template||[]).push([[542],{6262:(s,n)=>{n.A=(s,n)=>{const e=s.__vccOpts||s;for(const[s,a]of n)e[s]=a;return e}},8216:(s,n,e)=>{e.r(n),e.d(n,{comp:()=>r,data:()=>d});var a=e(641);const t=e.p+"assets/img/image-20240330183159891.023c8b47.png",p=(0,a.Fv)('本文总结了在window上基于vuepress搭建个人博客的经历及所踩过的坑。。
最初的设想是先在本地搭建成功之后，再通过github部署，方便个人访问及分享。因此思路主要如下：
step 1: 通过网络搜索教程，熟悉vuepress相关代码及搭建流程，在个人电脑上进行测试。
step 2: 在本地部署成功之后，通过个人的github搭建仓库，以sh命令集成指令，自动化提交到分支。
最终没想到在step 1就耗费了非常多的时间和精力，以下总结相关错误及要点：
要点 1：将exports写成export，导致每次新增区块如侧边栏或者导航栏都得不到想要的效果，耗费过于长的时间
总结 1：代码阅读不够仔细
要点 2：网上教程是需要通过npm或者yarn安装vuepress，过程中会出现一些bug，如某些库没有安装。
总结 2：仔细阅读bug，定位关键词，通过搜索工具仔细搜寻，得到解决方案。
',11),i=(0,a.Lk)("code",null,"要点 3",-1),o={href:"https://www.jb51.net/article/263056.htm",target:"_blank",rel:"noopener noreferrer"},c=(0,a.Fv)('nav: [ \n { text: '首页', link: "/" } , \n { text: 'about', link: "/about/about" } , \n { text: 'Github', link: "https://github.com/ChosenOne23" } \n ] , \n总结 3：通过官方文档准确获取信息的能力。
要点 4：将本地搭建好的博客挂载到 github 上的时候，根据网上的构建 deploy.py 教程，一键自动化部署会有相关问题：
#!/usr/bin/env sh \n\n\nset -e \n\n\nnpm run build \n\n\ncd docs/.vuepress/dist\n\ngit init\ngit add -A \ngit commit -m 'deploy' \n\n\ngit push -f git@github.com:ChosenOne23/myblog.git master:gh-pages \n\ncd -\n\n{ \n ...\n "scripts" : { \n "test" : "echo \\"Error: no test specified\\" && exit 1" , \n "dev" : "vuepress dev docs --temp .temp" , \n "build" : "set NODE_OPTIONS=--openssl-legacy-provider && vuepress build docs" \n } , \n ...\n} \n要点 5：图片路径设置问题，在 typora 偏好设置中将图片默认的保存路径设置为../assets，并勾选上以下信息，保证每次插入图片在本地都有存储且方便上传时索引准确。如下：
在两台不同的主机上本地更新了博客,如何将更新内容同步至远端,经过一番搜寻给出了答案：
第一步是将远端代码(master分支)与本地(master分支)合并,第二步是增加或修改博客内容,最后一步是将更新后的内容push到远端的gh-pages,master。
\ngit checkout master\n\ngit clone -b 分支名 git@github.com:ChosenOne23/myblog.git\n\ngit pull origin master:master \n\nset -e \n\nnpm run build\n\n\ncd docs/.vuepress/dist\n\ngit init\ngit add -A \ngit commit -m 'deploy' \n\n\n\ngit push -f git@github.com:ChosenOne23/myblog.git master:gh-pages\n\ncd -\n\ngit checkout master \ngit status \ngit add ./ \ngit commit -m “modify_mypc” \ngit pull origin master \ngit push origin master \n本文总结了在window上基于vuepress搭建个人博客的经历及所踩过的坑。。
\\n最初的设想是先在本地搭建成功之后，再通过github部署，方便个人访问及分享。因此思路主要如下：
\\nstep 1: 通过网络搜索教程，熟悉vuepress相关代码及搭建流程，在个人电脑上进行测试。
\\nstep 2: 在本地部署成功之后，通过个人的github搭建仓库，以sh命令集成指令，自动化提交到分支。
\\n最终没想到在step 1就耗费了非常多的时间和精力，以下总结相关错误及要点：
\\n要点 1：将exports写成export，导致每次新增区块如侧边栏或者导航栏都得不到想要的效果，耗费过于长的时间
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diff --git a/category/code/index.html b/category/code/index.html
new file mode 100644
index 00000000..d44201e6
--- /dev/null
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+
+
+
+ code 分类 | Ljh's Blog deeplearning 分类 | Ljh's Blog 分类 | Ljh's Blog linux 分类 | Ljh's Blog paper 分类 | Ljh's Blog paperreading 分类 | Ljh's Blog paperwriting 分类 | Ljh's Blog tec 分类 | Ljh's Blog typora 分类 | Ljh's Blog vue 分类 | Ljh's Blog work 分类 | Ljh's Blog 使用指南 分类 | Ljh's Blog 语句摘抄 分类 | Ljh's Blog 阅读 分类 | Ljh's Blog 布局与功能禁用 | Ljh's Blog 密码加密的文章 | Ljh's Blog 配置相关 | Ljh's Blog 布局 | Ljh's Blog 跳至主要內容 布局包括:
同时每个页面包含:
主题也带有以下元素:
你可以在主题选项和页面的 frontmatter 中自定义它们。
Markdown 展示 | Ljh's Blog 页面配置 | Ljh's Blog 跳至主要內容 Ms.Hope ... 大约 2 分钟 使用指南 页面配置 使用指南 more 注释之前的内容被视为文章摘要。
The first H1 title in Markdown will be regarded as page title.
Markdown 中的第一个 H1 标题会被视为页面标题。
你可以在 Markdown 的 Frontmatter 中设置页面标题。
你可以在 Markdown 的 Frontmatter 中设置页面信息。
作者设置为 Ms.Hope。 写作日期为 2020 年 1 月 1 日 分类为 “使用指南” 标签为 “页面配置” 和 “使用指南” 你可以自由在这里书写你的 Markdown。
图片引入
你可以将图片和 Markdown 文件放置在一起使用相对路径进行引用。 对于 .vuepress/public 文件夹的图片，请使用绝对链接 / 进行引用。 每个 Markdown 页面都会被转换为一个 Vue 组件，这意味着你可以在 Markdown 中使用 Vue 语法：
2
你也可以创建并引入你自己的组件。
输入:
输出: Hello world!
主题包含一些有用的组件。这里是一些例子:
博客主页 | Ljh's Blog 介绍页 | Ljh's Blog 苹果 1 | Ljh's Blog 苹果 2 | Ljh's Blog 苹果 3 | Ljh's Blog 苹果 4 | Ljh's Blog Apple | Ljh's Blog 香蕉 1 | Ljh's Blog 香蕉 2 | Ljh's Blog 跳至主要內容 一个被数字 10 星标了的香蕉文章。
这里是内容。
这里是内容。
香蕉 3 | Ljh's Blog 香蕉 4 | Ljh's Blog Banana | Ljh's Blog 樱桃 | Ljh's Blog 火龙果 | Ljh's Blog Posts | Ljh's Blog Paper | Ljh's Blog 阅读的相关论文 | Ljh's Blog 跳至主要內容 林锦濠 ... 大约 3 分钟 paper paperreading 红 大 圆 一段视频输入talknet得到可能的说话人的帧序列（有可能是错误的，因此需要后续的匹配操作），将这些帧序列进行聚类，由于meld数据集包含6个不同的说话人，因此，预先从数据集中得到每个人20张不同角度的人脸图片，针对聚类完成得到可能说话人的帧序列，经由resnet-50(pretrained on face recongnition dataset)提取对应的特征，计算相似度得到最终的结果
前向两次，分别得到完整模态，缺失模态的结果
在不同epoch下的同一样本，缺失的time step是一样的。而cutoff则是不一样的。能否在训练时人为构造更多的缺失样本，一方面可以避免过拟合，一方面模拟更多真实世界的缺失模态情况
跨层参数共享，global2local的attention,将注意力的计算降低至线性复杂度
端到端的方式；情感词的识别与replace；asr error；语音的背景噪声（人声分离？）；图像中人脸角度，不同光照，人脸缺失，运动模糊
三种模态在对齐的情况下，设置了三种不一样的缺失情况：三种模态缺失的位置均不一致（随机位置缺失）；三种模态缺失的位置一致（连续片段缺失，随机位置缺失）
提出不同的mask机制，解决未对齐序列缺失模态的问题
图中橘色部分有： $$ Y_{[multi]} = CA_{L->[multi]}([multi],Z_{L})+CA_{A->[multi]}([multi],Z_{A})+SA([multi]) $$
构造两种不同的mask,一种学习模态内部的交互，一种学习模态间的交互。并采用balence策略
image-20240311150509143 第一篇，关键是balence所生成的样本类别数目，作者对每一类选取top-k置信度的样本，保证了重新训练时样本数量的平衡
门控机制
单一视角（intra） vs 多视角（inter）
有的时候，我们仅仅通过单一一种模态，便能做出很好的感情推断，无需其他模态的帮助：
only inf from text:
a lot of sad parts there is sad part 但有时我们需要借助其他模态的帮助(交互信息)从而准确判断主体的情感：
inf from text and visual:
netural text: AND THERE BUT THEYRE NOT HUGE GLARING FLAWS
negative video: frown
元学习相关资料：https://zhuanlan.zhihu.com/p/72920138，https://zhuanlan.zhihu.com/p/57864886
https://zhuanlan.zhihu.com/p/439554945
下一页
论文写作
论文写作 | Ljh's Blog 跳至主要內容 林锦濠 ... 大约 1 分钟 paper paperwriting paper 关于splncs04引用格式,该风格是根据文章作者首字母进行排序后进行引用,有时候我们不需要排序,而是根据引用顺序在文章中标号即可,因此需要修改splncs04文件,将SORTZ注释改为splncs04_unsort格式即可,参考链接：https://zhuanlan.zhihu.com/p/427371287.
以下内容来自：
chatgpt 科研辅助笔记open in new window
建议收藏：超详细ChatGPT(GPT 4.0)论文润色指南open in new window
语法修改: As a professional academic English editor, you are asked to revise the grammar of the following passage and list the changes made to each section.
语言翻译: As a professional academic English editor , you are asked to translate the following paragraph into English.
语言润色: As a professional academic English editor, you are asked to revise the following passage using academic language and logic, and list the changes made to each section.
固定期刊角度润色:
You're a top university professor and a reviewer from AIC journal. l will provide you with my written text. You need to do the tasksbelow:
List proofread suggestions for improvement.
Write me a polished version according to the writing and wording styles of abovejournals.
Do you understand?
According to your knowledge about XXX and XXX, is there a better way to write the above paragraph, please help to revise it so that it can be used in academic papers.
Polish and rewrite the above content to make it more in line with the style of academic papers, and at the same time, it can be more professional. If there are parts that do not conform to facts or logic, please refer to the part of xxxxx(参考原理) for the above content modification.
Reading | Ljh's Blog 语句摘抄 | Ljh's Blog 跳至主要內容 我与众不同，我很独特。无论我外表看起来多么普通，但在心灵深处，我深知自己是独一无二的奇迹。
不可能一次就中，师兄都没有一次就中，就算不中，也可以换个故事重新投；要求做实验的话，再自己多思考，多交流，网上查找资料进行回复
要更好实现自身价值，一是始终保持学习和研究事物的热情；二是至少找准一个领域持之以恒、久久为功。
归纳，总结，思考
5W1H法则，为什么用法要注意，因为要求回答者追求答案的逻辑性。
请求别人帮忙的时候，要是能给出一个理由，成功的概率更大。这个理由如果能引起对方的共鸣，那就更加完美
人们选择那些与自身利益和情绪密切相关的事件运用理智思考，而忽视那些不感兴趣不相干的事凭借本能自动处理。要选择重要的问题并且投入精力，比处理问题还重要。
交情不够，少说几句
学会聆听，学会发现对方感兴趣的话题，引导对方说下去
避免争论，勇于认错，学会赞美
真心实意感谢他人
你的心界愈空灵，你也不觉得物界喧嘈，所谓忙中静趣
人的乐趣一半得之活动（行动起来，诸如运动，清理，培养兴趣等，闲人大半易于发愁），也还有一半得之于感受（欣赏美，感受风景，感受细微，感受生活）
烂开始，短平快（按周期步骤分解，减小阻力），多迭代（设定每轮迭代的目标）
提升执行力open in new window
及格是一种心态
你没喜欢每一个人的义务，你有厌恶任何一个人的理由，但对每一个人，你都要给予基本的尊重，包括你厌恶的人
如果你的亲人是普通阶层，那对于人生中一些大事来说，他们给的建议往往就是普通阶层的思维，他们的阶层就是他们一生思维决策的结果，如果你的目标是跳出本阶层，那最好只把他们的建议当成参考。
不要和你的同事比工资，没有意义，比工资总会有人受伤，更多的是负面影响，并且很多时候受伤的会是你。
不要说一项技能没有用，任何你掌握的技能都有价值，但是你要学会找到发挥它的场景。如果有一天你落水了，你可能会很庆幸，自己以前学会了游泳。
工作中如果要上升，你要勇于承担麻烦的、有挑战的任务，当你推掉麻烦的时候，你也推掉了机遇。
很多人喜欢不停的做事，但不会停下来思考，缺乏总结复盘的能力，其实阶段性总结复盘，不仅能够固化前面的经验，也能梳理后面的方向；把事情做对很重要，但是更重要的是做对的事；另外不要贪快，方向正确慢就是快
不要因为某人的外在，如外貌、习惯、学历等对人贴上标签，去盲目否定别人，对于别人的建议，应该从客观出发，综合分析，从善如流是一项非常难得的品质。
草莓 | Ljh's Blog Typosa语法 | Ljh's Blog 跳至主要內容 林锦濠 ... 小于 1 分钟 tec typora tec 还是github主题好看😄
较全面的快捷键的网站：快捷键网站open in new window 我认为的比较常用的： 选中当前格式的文本：ctrl+e 选中当前词：ctrl+d 选中当前行：ctrl+l 标题：ctrl+1/2/3/4/5 段落：ctrl+0 表格：ctrl+t 代码块：ctrl+shift+k 公式块：ctrl+shift+m 引用：ctrl+shift+q 有序列表：ctrl+shift+[ 无序列表：ctrl+shift+] 加粗：ctrl+b 斜体：ctrl+I(大写的i) 超链接：ctrl+k 图像：ctrl+shift+I(大写的i) 大纲视图：ctrl+shift+1 打字机模式：f9 主题：alt+a 分割线： ***字体高亮 ：ctrl+shift+h字体增添背景：英文输入下，tab上方的按键
Tec | Ljh's Blog linux相关指令 | Ljh's Blog 跳至主要內容 top 命令用来查看服务器资源使用情况。命令行输入top，显示结果如下：分别展示了各个进程的内存使用情况；运行时间等信息。
要按照内存从大到小排列则输入: shift+m
输入c,全部显示command列（可能出现部分遮挡的情况，可以适当拖动窗口）
image-20240320151014799 按q退出
下一页
frontend
基于vuepress搭建个人博客 | Ljh's Blog 跳至主要內容 本文总结了在window上基于vuepress搭建个人博客的经历及所踩过的坑。。
最初的设想是先在本地搭建成功之后，再通过github部署，方便个人访问及分享。因此思路主要如下：
step 1: 通过网络搜索教程，熟悉vuepress相关代码及搭建流程，在个人电脑上进行测试。
step 2: 在本地部署成功之后，通过个人的github搭建仓库，以sh命令集成指令，自动化提交到分支。
最终没想到在step 1就耗费了非常多的时间和精力，以下总结相关错误及要点：
要点 1：将exports写成export，导致每次新增区块如侧边栏或者导航栏都得不到想要的效果，耗费过于长的时间
总结 1：代码阅读不够仔细
要点 2：网上教程是需要通过npm或者yarn安装vuepress，过程中会出现一些bug，如某些库没有安装。
总结 2：仔细阅读bug，定位关键词，通过搜索工具仔细搜寻，得到解决方案。
要点 3：路径设置的问题，包括部署到github需要注意的事项open in new window ，以及本地搭建是需要对vuepress的路径设置有一定的理解。后者需要阅读 vuepress 官方文档进行准确设置，vuepress 默认会读取该目录下的 README.md 文档，因此每次新建一个文件夹，都需要在该目录下新建一个 README.md：
nav: [
+ { text: '首页', link: "/" } ,
+ { text: 'about', link: "/about/about" } ,
+ { text: 'Github', link: "https://github.com/ChosenOne23" }
+ ] ,
+总结 3：通过官方文档准确获取信息的能力。
要点 4：将本地搭建好的博客挂载到 github 上的时候，根据网上的构建 deploy.py 教程，一键自动化部署会有相关问题：
#!/usr/bin/env sh
+
+
+set -e
+
+
+npm run build
+
+
+cd docs/.vuepress/dist
+
+git init
+git add -A
+git commit -m 'deploy'
+
+
+git push -f git@github.com:ChosenOne23/myblog.git master:gh-pages
+
+cd -
+
+{
+ ...
+ "scripts" : {
+ "test" : "echo \"Error: no test specified\" && exit 1" ,
+ "dev" : "vuepress dev docs --temp .temp" ,
+ "build" : "set NODE_OPTIONS=--openssl-legacy-provider && vuepress build docs"
+ } ,
+ ...
+}
+要点 5：图片路径设置问题，在 typora 偏好设置中将图片默认的保存路径设置为../assets，并勾选上以下信息，保证每次插入图片在本地都有存储且方便上传时索引准确。如下：
在两台不同的主机上本地更新了博客,如何将更新内容同步至远端,经过一番搜寻给出了答案：
第一步是将远端代码(master分支)与本地(master分支)合并,第二步是增加或修改博客内容,最后一步是将更新后的内容push到远端的gh-pages,master。
+git checkout master
+
+git clone -b 分支名 git@github.com:ChosenOne23/myblog.git
+
+git pull origin master:master
+
+set -e
+
+npm run build
+
+
+cd docs/.vuepress/dist
+
+git init
+git add -A
+git commit -m 'deploy'
+
+
+
+git push -f git@github.com:ChosenOne23/myblog.git master:gh-pages
+
+cd -
+
+git checkout master
+git status
+git add ./
+git commit -m “modify_mypc”
+git pull origin master
+git push origin master
+
下一页
typora
番茄 | Ljh's Blog 算法 | Ljh's Blog 跳至主要內容 链表
环的入口节点，如果一链表中包含环，如何确定环的起点
image-20240304212702894 解法：双指针，通过快慢指针找到处于环中的节点，快指针每次走两步，慢指针每次走一步，由于链表存在环，因此最终肯定会碰上（快的会追上慢的，rectify:快指针多走n步，随后两个指针每次都是走一步），重复的位置就是处于环中的节点。接着如果快慢指针每次走的步长相差为环的长度的整数倍，则最终必会在入口处碰上 (rectify:初始时，快指针多走环的长度的步长，接着每次都走一步)，问题转化为寻找环的长度的问题，环的长度可以通过单指针实现，在步骤一中得到的起始节点出发，走一遍，并进行计数，最终就能得到环的长度。接着进行步骤二就能找到入口节点。
链表中倒数第K个节点
解法：双指针，快指针初始多走k（k-1 ）步，接着每次都走一步，快指针到终点时，慢指针刚好指向倒数第k个节点。
image-20240304214814123 调整数组顺序使奇数位于偶数前面
解法：双指针，奇偶（分别向中心移动），奇奇（while到奇数 左指针+1），偶偶（右指针-1），偶奇（交换）
2，1，4，5，3
3，1，4，5，2
3，1，5，4，2
删除链表的节点：给定单向链表的头指针和一个节点指针，定义一个函数在O(1)时间内删除该节点 解法：有了要删除的节点指针，可以知道该节点的下一个节点，把下一个节点的值赋值给要删除的节点，将当前节点的next指向下下个节点，除此之外还需要把待删除节点指向的下一个节点删除 。倘若在尾部，只能顺序查找删除
image-20240304221018613 时间复杂度的分析
((n-1)*O(1)+O(n))/n=O(1a)
双指针
打印从1到最大的n位数
常规做法会出现越界问题，考点是字符串的数字加法及终止条件的判定
数值的整数次方
解法：先举例子
二进制中1的个数
解法：输入的二进制数与0001进行与运算，若为1则说明最低位存在1，接着左移一位，得到0010，即与输入的二进制数的次低位进行与运算，判断次低位是否为1，以此类推
反转链表
解法：由于当前节点和下个节点的顺序反转后，链表出现了断裂，即下个节点与下下个节点之间的链接出现断裂，因此需要记录三个节点的信息，
prev_node = nullptr
+while(p->node!=nullptr)
+{
+next_node = p->node->next
+p->node->next = prev_node
+prev_node = p->node
+p->node = next_node
+}
+合并两个排序链表
解法：比较两个链表头节点的大小，将小的一个作为合并后链表的头节点，接着继续合并链表中的剩余节点
mergehead
+if phead1->value < phead2->value:
+ mergehead=phead1
+ mergehead=
+树的子结构
**
二叉树的镜像
下一页
深度学习
深度学习相关知识 | Ljh's Blog 跳至主要內容 林锦濠 ... 大约 4 分钟 work deeplearning work 跨层参数共享
优点：需保存的参数量降低，减少存储成本。减少训练时间
缺点：推理时间仍然一样
共享不同参数层的结果
词向量因式分解
引入一全连接层，将词向量维度降维，达到降低transformer中隐层维度的目的
渐进式知识蒸馏
MobileBERT:学生模型开始学习教师模型的第一层，接下来学习教师模型的第二层，而此时学生模型的第一层权重是不参与更新的。依此类推。
注意力机制的改进（longformer）
滑动窗口注意力
当前token仅与左右k/2个token窗口内的token计算注意力
扩张窗口注意力
在窗口内不是与所有token计算注意力而是进行采样，与窗口内被采样到的token计算注意力（采样间隔）
全局+滑动窗口
将QKV映射两种不同的子空间，这两种不同的QK,分别计算全局（与具体任务有关，如具有全局视角的CLS，则该token可以关注其他所有token的信息）和滑动窗口注意力
缺失模态下的情感分析 首先，预训练，基于MLM策略（动态掩码（Robeta）/静态掩码）
接着，基于预训练好的的重建模型，提取特征，模态融合模块，进行情感预测
相关的掩码策略（NLP，BART） 单词掩码，在输入文本中随机采样一部分单词，并且替换为掩码标记如[MASK]
单词删除，随机采样一部分单词并且删除。在预测缺失单词的同时还需要确定缺失单词的位置
句子排列变换。将多个句子的顺序随机打乱
文档旋转变换
文本填充
实体级别掩码，在普通的单词掩码中，模型只需要根据J.与Rowling就可以做出正确的预测，而无法学习到更高层次的语义
image-20240229165723875 image-20240229160945980 门控策略 输入信号经非线性变换映射至[0,1]，得到门控向量，与原始输入进行元素点乘 bert相关 词向量编码，块编码，位置编码
词向量编码由独热向量经由词向量矩阵（可学习参数矩阵）映射得到
块编码指的是当前token属于哪一句子，属于句子0则编码为0，属于句子1则编码为1，以此类推。运用块向量矩阵进行映射得到最终的块编码
位置编码则是将按单词顺序转换为独热编码，再经由位置向量矩阵转换为位置编码
MLM实现
在得到掩码位置的隐向量后，经由词向量矩阵，映射到词表空间，之后经softmax操作得到词表中的词对应该掩码位置的概率，取max即为预测的单词，模型对第i个掩码位置的预测概率的计算如下： $$ P(i)=Softmax(h_{i}W_{}^{T}+b) $$
整词掩码：掩码的最小粒度为单词级而非wordpiece级，提升了mlm任务的难度，模型在预测掩码词时，需要更多依靠上下文信息，有助于提升模型对输入文本语义信息的挖掘
需要注意的是，整词掩码中，子词的掩码方式可以是替换为[MASK]，随机词或者保留原词，三选一；各个子词均会受到掩码；掩码的方式受到概率控制
下游任务
抽取式阅读理解：将问题和篇章输入至模型，问题在前，篇章在后，篇章超过最大允许输入长度时，分段输入。在获取得到每个位置起点、终点位置的概率，分别取top-k个，假设起点终点位置相互独立，则联合概率为二者相乘，得到一个[start,end,prob]的三元组，数量为k*k个，添加限制条件start<end，筛选得到最终的结果。
Work | Ljh's Blog https://mister-hope.github.io/myblog/intro.html daily https://mister-hope.github.io/myblog/ daily https://mister-hope.github.io/myblog/demo/disable.html daily https://mister-hope.github.io/myblog/demo/encrypt.html daily https://mister-hope.github.io/myblog/demo/layout.html daily https://mister-hope.github.io/myblog/demo/markdown.html daily https://mister-hope.github.io/myblog/demo/page.html daily https://mister-hope.github.io/myblog/demo/ daily https://mister-hope.github.io/myblog/posts/cherry.html daily https://mister-hope.github.io/myblog/posts/dragonfruit.html daily https://mister-hope.github.io/myblog/posts/strawberry.html daily https://mister-hope.github.io/myblog/posts/tomato.html daily https://mister-hope.github.io/myblog/posts/paper/paper_reading.html daily https://mister-hope.github.io/myblog/posts/paper/paper_writing.html daily https://mister-hope.github.io/myblog/posts/banana/1.html daily https://mister-hope.github.io/myblog/posts/banana/2.html daily https://mister-hope.github.io/myblog/posts/banana/3.html daily https://mister-hope.github.io/myblog/posts/banana/4.html daily https://mister-hope.github.io/myblog/posts/apple/1.html daily https://mister-hope.github.io/myblog/posts/apple/2.html daily https://mister-hope.github.io/myblog/posts/apple/3.html daily https://mister-hope.github.io/myblog/posts/apple/4.html daily https://mister-hope.github.io/myblog/posts/reading/insights.html daily https://mister-hope.github.io/myblog/posts/tec/grammar.html daily https://mister-hope.github.io/myblog/posts/tec/linux.html daily https://mister-hope.github.io/myblog/posts/tec/vue.html daily https://mister-hope.github.io/myblog/posts/work/code.html daily https://mister-hope.github.io/myblog/posts/work/deeplearning.html daily
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diff --git a/star/index.html b/star/index.html
new file mode 100644
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--- /dev/null
+++ b/star/index.html
@@ -0,0 +1,40 @@
+
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+ 星标 | Ljh's Blog 标签 | Ljh's Blog 标签: paper | Ljh's Blog 标签: tec | Ljh's Blog 标签: work | Ljh's Blog 标签: 圆 | Ljh's Blog 标签: 大 | Ljh's Blog 标签: 红 | Ljh's Blog 标签: 阅读 | Ljh's Blog 时间轴 | Ljh's Blog 
+![\\"img\\"](\\"https://pic1.zhimg.com/v2-8ea109ed6f3a3781951402a6cf7cc586_r.jpg?source=1def8aca\\")
\\n
