ICLR Points

Compare research areas by ICLR points (faculty-per-publication ratio normalized to Machine Learning).

Architecture

Startup: Parse DBLP once Cache per-year data

Page load: Fetch all ICLR data once

Interaction: Filter JS array Update Plotly chart

Setup

1. Install dependencies
   pip install -r requirements.txt

2. Run the API
   uvicorn backend.iclr_api:app --host 0.0.0.0 --port 8001 --reload

3. Run the frontend
   cd frontend
python -m http.server 8000
   Open http://localhost:8000

API

GET /iclr_points?from_year=2019&to_year=2023

Data

Place in data/:

• csrankings_march.csv
• area.csv
• dblp.xml.gz