Goal
Enhance the IndiaML Tracker to identify and record outstanding research papers from major ML conferences, focusing on those with long-term impact.
Approach:
Parse award information from conference websites (e.g., [NeurIPS awards page](https://neurips.cc/virtual/2023/awards_detail)).
Prioritize awards recognizing long-term impact (like [CVPR's Longuet-Higgins](https://tc.computer.org/tcpami/awards/longuet-higgins-prize/)).
Extract paper details (title, authors, award, year).
Check if any authors have Indian affiliations.
Integrate this data into the IndiaML Tracker.
Example: Start with parsing NeurIPS outstanding paper awards (https://neurips.cc/virtual/2023/awards_detail).
Next Steps:
Investigate award info on major ML conference websites.
Develop a parser for NeurIPS awards as a proof of concept.
Determine database storage for this new data.
Integrate parsing into the pipeline
Contributed by @sumodm
Goal
Enhance the IndiaML Tracker to identify and record outstanding research papers from major ML conferences, focusing on those with long-term impact.
Approach:
Example: Start with parsing NeurIPS outstanding paper awards (https://neurips.cc/virtual/2023/awards_detail).
Next Steps:
Contributed by @sumodm