# lixin4ever/Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

Repository: https://github.com/lixin4ever/Conference-Acceptance-Rate
Canonical: https://ross.abutalabs.com/products/conference-acceptance-rate
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2025-09-23T07:07:56+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 43, release rhythm 35, longevity 100
- inputs: {"age_days": 3239, "days_push": 344, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4773, forks 314 (observed 2026-08-28T04:08:59.472327+00:00)

## What it is
A curated dataset tracking acceptance rates for top-tier AI conferences such as ACL, EMNLP, CVPR, and NeurIPS across many years. It includes long/short paper acceptance statistics and trend visualizations maintained in a Jupyter Notebook repository.

## Use cases
- check the acceptance rate of ACL 2023
- compare how competitive CVPR and NeurIPS are over time
- find trends in AI conference acceptance rates
- decide which conference to submit a paper to
- research statistics on NLP conference acceptance rates
- visualize acceptance rate trends for top AI venues

## When to choose
- you need historical acceptance statistics for major AI/ML conferences
- you want a quick reference for paper submission competitiveness
- you are analyzing publication trends in AI research

## When to avoid
- you need acceptance rates for non-AI or low-tier venues
- you need official, peer-verified statistics straight from conference organizers
- you need programmatic API access to the data

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, analytics
- domain: artificial-intelligence, machine-learning, computer-vision, education
- platform: cross-platform
- tags: academic-conferences, acceptance-rates, nlp, computer-vision, statistics, jupyter-notebook, natural-language-processing

## Member repositories
- lixin4ever/Conference-Acceptance-Rate (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:59.472327+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:46.857078+00:00, confidence not recorded.
  - readme: https://github.com/lixin4ever/Conference-Acceptance-Rate (fetched 2026-08-28T04:08:59.472327+00:00, sha bad8fcb48fae)
- Data as of 2026-08-30T08:39:29.467469+00:00.