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Weekly Schedule

TODO

  1. Standford CS520, 完成第12课
  2. 阅读数量金融前三章
  3. 机器学习-白板推导系列, 完成线性回归与线性分类
  4. 重构量化预测代码
  5. 阅读Causal Inference Course Lectures前6节课
  6. 阅读因果推断入门1-9节

2020-10-20 05:19 上午

Done

  1. 为了开发note网站, 学习vue.js
  2. 阅读facebookresearch/TaBERT源码, 绘制关系图

Tomorrow's Plan

  1. 动感单车, 深蹲
  2. 继续阅读facebookresearch/TaBERT源码, 绘制关系图
  3. 继续vue.js

2020-10-21 06:25 上午

Done

  1. 动感单车30min
  2. 学习vue.js, 接触到了phodal/phodit, 了解了travis ci, stencil, Electron, 感觉好无力, 要学习的好多, 技术路线好多
  3. 阅读facebookresearch/TaBERT源码, 绘制关系图

Tomorrow's Plan

  1. 动感单车, 卷腹
  2. 重新阅读TABERT: Pretraining for Joint Understanding of Textual and Tabular Data, TAPAS: Weakly Supervised Table Parsing via Pre-training, Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
  3. 和USC的导师开会

2020-10-22 06:10 上午

Done

  1. 动感单车30min
  2. 和USC的导师开会
  3. 调整作息

Tomorrow's Plan

  1. 动感单车, 卷腹
  2. 重新阅读TABERT: Pretraining for Joint Understanding of Textual and Tabular Data, TAPAS: Weakly Supervised Table Parsing via Pre-training, Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

2020-10-23 06:11 上午

Done

  1. 阅读npm相关资料, 尤其是How to use NPM (and import/export modules) in JavaScript, 完成了50%
  2. 重新阅读了TABERT: Pretraining for Joint Understanding of Textual and Tabular Data, TAPAS: Weakly Supervised Table Parsing via Pre-training
  3. 继续阅读facebookresearch/TaBERT源码

Tomorrow's Plan

  1. 动感单车, 卷腹
  2. 重新阅读TAPAS: Weakly Supervised Table Parsing via Pre-training, Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
  3. 继续阅读facebookresearch/TaBERT源码

2020-10-24 06:23 上午

  1. 动感单车30min
  2. 继续阅读facebookresearch/TaBERT源码, 沿着主要逻辑基本读完了一遍

Tomorrow's Plan

  1. 重新阅读TAPAS: Weakly Supervised Table Parsing via Pre-training, Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
  2. 继续阅读facebookresearch/TaBERT源码

2020-10-25 06:23 上午

  1. 动感单车30min
  2. 继续阅读facebookresearch/TaBERT源码
  3. 主要时间用来玩游戏了

Tomorrow's Plan

  1. 继续阅读facebookresearch/TaBERT源码

2020-10-26 06:23 上午

  1. 和梁总开会讨论Semeval2021-task9
  2. 继续阅读facebookresearch/TaBERT源码

Tomorrow's Plan

  1. 重新阅读TAPAS: Weakly Supervised Table Parsing via Pre-training, Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task