This is a simple repo for improving (computer science) conference paper reading experience. We try to parse the paper information(title, abstract, url) of all the papers for a certain conference and generate an RSS XML file. You can subscribe to our resource to read papers with your PC/PAD/PHONE as long as you have an RSS reader on it.
You can use any RSS reader to subscribe to our resource. In Mac, we recommend using Leaf(NOTE: most of the emails also support RSS subscription, just Goole it. btw, use feedDemon for windows as suggested by charlesliucn). If you are using Leaf, it should look like follows:
Use any rss reading client (Leaf in Mac) to subscribe to the following rss resource.
Currently, we parse papers from the most recent 2 years. earlier years are not included (but you can run our code to parse it by yourself).
- NIPS:
- ICML:
- ICLR:
- CVPR:
- ECCV:
- ICCV:
- interspeech(@charlesliucn)
- arXiv:
- I also upload my arXiv Leaf subscription for those lazy guys (Just import it in your Leaf client).
The whole repo is built on python3. In this section, we introduce how to run this code locally. This code mainly depends on requests, and selenium. Most of the dependencies in this project could be installed via pip, except that selenium furtherly requires installing an extra webdriver (chromedriver as in the code. You have to install the webdriver locally and put it into your system path).
To run the cod, following the following command:
python3 main.py -c CONFERENCENAME -y YEAR- call for proposals (any suggestion for new conferences, or other interesting functions.)
- call for pulls of other conferences.
- pull request: (please make sure that your pull requests meet the following requirement)
- satisfies the python style guide (The only exception is the Maximum Line Length. In this project, the maximum line length is 100 rather than 80.)
- rename and reconstruct this repo
- renaming: find new name for this repo;
- reconstructing: build parser template based on different website rather than conference.
- more works:
- build the website;
- generate the lda wordcloud.
- https://www.thecvf.com/ (for cvpr / iccv)
- https://www.ecva.net (for eccv)
- http://proceedings.mlr.press/ (for icml)
- https://proceedings.neurips.cc/ (for nips / neurips)
- https://openreview.net/ (for iclr)
- arxiv rss dynamic parser (TODO)