Paper Trending
Explore research topics across ICLR, ICML, and NeurIPS with paper-count trends and transparent ICLR acceptance comparisons.
Explore how a research topic changes over time: search paper titles and abstracts, compare yearly publication counts, and view ICLR topic-versus-overall acceptance rates with explicit submission-pool definitions and coverage warnings.
The demo runs entirely in your browser using keyword search. It downloads public paper metadata on demand and uses a fixed dataset snapshot. It has no accounts, saved search history, or AI calls. Missing data is shown as unavailable, not zero.
For AI-assisted topic interpretation, local semantic search, and PDF exports, run the full Python application locally with your own API key. The MIT-licensed source includes setup instructions, corpus collection tools, and the static-site exporter. Third-party metadata retains its original rights.