https://github.com/shunk031/paper-survey

📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
https://github.com/shunk031/paper-survey

arxiv arxivtimes deep-learning-papers machine-learning natural-language-processing summary survey

Last synced: 4 months ago
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📚 Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese

• Host: GitHub
• URL: https://github.com/shunk031/paper-survey
• Owner: shunk031
• Created: 2016-12-14T02:14:40.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2023-04-11T23:44:57.000Z (about 2 years ago)
• Last Synced: 2025-01-10T17:53:45.662Z (5 months ago)
• Topics: arxiv, arxivtimes, deep-learning-papers, machine-learning, natural-language-processing, summary, survey
• Language: HTML
• Homepage: https://shunk031.github.io/paper-survey/
• Size: 51.4 MB
• Stars: 151
• Watchers: 24
• Forks: 12
• Open Issues: 137
• Metadata Files:
  • Readme: README.md

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README

        
## Paper Survey

![logo](assets/logo.png)

[![Build Status](https://travis-ci.org/shunk031/paper-survey.svg?branch=master)](https://travis-ci.org/shunk031/paper-survey)

[![GitHub issues](https://img.shields.io/github/issues/shunk031/paper-survey.svg)](https://github.com/shunk031/paper-survey/issues?q=is%3Aopen+is%3Aissue)

[![GitHub closed issues](https://img.shields.io/github/issues-closed/shunk031/paper-survey.svg)](https://github.com/shunk031/paper-survey/issues?q=is%3Aissue+is%3Aclosed)

[![GitHub stars](https://img.shields.io/github/stars/shunk031/paper-survey.svg?style=flat-square)](https://github.com/shunk031/paper-survey/stargazers)

[![Twitter](https://img.shields.io/twitter/url/https/github.com/shunk031/paper-survey.svg?style=social)](https://twitter.com/intent/tweet?text=shunk031/paper-survey:%20Survey%20of%20previous%20research%20on%20machine%20learning%20(especially%20Deep%20Learning)%20in%20Japanese&url=https%3A%2F%2Fgithub.com%2Fshunk031%2Fpaper-survey)

機械学習 (特に Deep Learning) に関する先行研究および関連研究をまとめています。

---

## Contents

- [Paper Summary of Computer Vision](https://shunk031.github.io/paper-survey/category/cv/)

- [Paper Summary of Natural Language Processing](https://shunk031.github.io/paper-survey/category/nlp/)

- [Paper Summary of Others](https://shunk031.github.io/paper-survey/category/others/)

---

## Rules

* 読もうと思っている論文は[Issue](https://github.com/shunk031/paper-survey/issues)に上げる

* [Projects の Related Works](https://github.com/shunk031/paper-survey/projects/2)に論文を読んだかどうかを管理する

* [format.md](https://github.com/shunk031/paper-survey/blob/master/format.md)にしたがって論文の要旨をまとめる

## Abount Summary Format

- [高速で論文がバリバリ読める落合先生のフォーマットがいい感じだったのでメモ](http://lafrenze.hatenablog.com/entry/2015/08/04/120205)

```

---

layout: post

title:  "論文タイトル"

date:   YYYY-MM-DD

categories: CV NLP Others

---

## 1. どんなもの？

## 2. 先行研究と比べてどこがすごいの？

## 3. 技術や手法の"キモ"はどこにある？

![Figure 1]({{ site.baseurl }}/assets/img/(cv, nlp, others)/(title)/figure1.png)

## 4. どうやって有効だと検証した？

## 5. 議論はあるか？

## 6. 次に読むべき論文はあるか？

### 論文情報・リンク

* [著者，"タイトル，" ジャーナル名，voluem，no.，ページ，年](論文リンク)

```

## Example

- [先端技術とメディア表現 1 #FTMA15](http://www.slideshare.net/Ochyai/1-ftma15) from [Yoichi Ochiai](http://www.slideshare.net/Ochyai)

![](https://raw.githubusercontent.com/shunk031/paper-survey/master/assets/img/FTMA15-1-page-65.png)

## Build

- Use rbenv and ruby-build for build this repo locally

``` shell

$ rbenv install 2.4.0

$ mkdir ~/.rbenv/versions/paper-survey-dev

$ ruby-build 2.4.0 ~/.rbenv/versions/paper-survey-dev

$ cd paper-survey

$ rbenv local paper-survey-dev

$ gem install bundle

$ bundle install

$ jekyll server

# then visit http://127.0.0.1:4000/paper-survey/ in your browser to preview the repo

```