https://github.com/hoya012/neurips-2019-paper-statistics
Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2019 accepted papers
https://github.com/hoya012/neurips-2019-paper-statistics
Last synced: 24 days ago
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Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2019 accepted papers
- Host: GitHub
- URL: https://github.com/hoya012/neurips-2019-paper-statistics
- Owner: hoya012
- Created: 2019-11-26T05:09:16.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-11-26T05:19:53.000Z (almost 6 years ago)
- Last Synced: 2025-07-02T03:37:41.705Z (4 months ago)
- Language: Jupyter Notebook
- Size: 1.29 MB
- Stars: 9
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# NeurIPS-2019-Paper-Statistics
Statistics and Visualization of acceptance rate, main keyword of [NeurIPS 2019](https://nips.cc/Conferences/2019) accepted papers
Inspired by [`CVPR-2019-Paper-Statistics`](https://github.com/hoya012/CVPR-2019-Paper-Statistics), [`ICCV-2019-Paper-Statistics`](https://github.com/hoya012/ICCV-2019-Paper-Statistics)
## NeurIPS 2019 Acceptance rate (2015~2019)
- The total number of papers has increased significantly! (108% from 2017 to 2019!)
- The acceptance rate is maintaned about 20%.
## NeurIPS 2019 Paper Keywords statistics
- [Accepted Paper list](https://nips.cc/Conferences/2019/Schedule?type=Poster)
- Top keywords
- model, optimization, graph, reinforcement, adversarial, representation, algorithm, efficient, etc..
## Analysis and Visualization Code (Jupyter Notebook)
- The above data can be obtained from a simple jupyter notebook script.
- [`NeurIPS2019_paper_statistics_using_chrome.ipynb`](https://github.com/hoya012/NeurIPS-2019-Paper-Statistics/blob/master/neurips2019/NeurIPS2019_paper_statistics_using_chrome.ipynb)
## Prerequisites
- python3.5
- [selenium](https://selenium-python.readthedocs.io/)
- [wordcloud](https://pypi.org/project/wordcloud/)
- [matplotlib](https://matplotlib.org/)
or
**i highly recommend to use** [google colab](https://colab.research.google.com/)
Just **download jupyter notebook** and **move to your google drive** and **Open with Colaboratory**