/paper-spray

List of interesting papers to read

Primary LanguagePython

Paper-Spray

This is a list of interesting research papers maintained by Kumar and Biswa, mainly in Machine Learning, but definitely not limited to it. This is mainly an initiative to inculcate a reading habit among ourselves. Suggested reads are always welcome!

We would try submit only links which are freely available, but we may also add few links which can be accessed freely only from an university network.

We have created a webpage for Paper-Spray containing a searchable list of the papers in the json file.

Entry format:

  • Paper Title Date Added, Keywords Author, Conference, Year

Abbreviations:

  • AI: Artificial Intelligence
  • CV : Computer Vision
  • DL: Deep Learning
  • ML : Machine Learning
  • NLP : Natural Language Processing
  • RL : Reinforcement Learning

How it works?

The papers are added to paper-list.json. They can either be added manually or by using the add_papers.py script. Thereafter the README is generated by using the create_readme.py script. This script appends the paper names present in the json file to the contents of readme.template, to generate README.md.

Some scripts such as add_papers.sh and add_papers_minimal.sh have been created for convenience.

The scripts give a warning when adding duplicate papers. In that case, enter 'n' when asked to abort adding the paper.

The webpage for paper-spray reads the json file and creates a table using js libraries. There is no need of generating static html pages for any change in the json file.

Papers