metadata

title: AI Deadlines
emoji: ⚡
colorFrom: gray
colorTo: blue
sdk: docker
pinned: false
app_port: 8080

AI Conference Deadlines

A web app to quickly see submission deadlines to top AI conferences, such as NeurIPS and ICLR.

This helps researchers in quickly seeing when to submit their paper.

Note: papers can be submitted at any time to hf.co/papers at hf.co/papers/submit, assuming the paper is available on Arxiv.

The benefit of hf.co/papers is that it allows people to quickly find related artifacts, such as models, datasets and demos. See this paper page as a nice example - it has 3 models, 1 dataset and 1 demo linked.

Project info

This project is entirely based on the awesome https://github.com/paperswithcode/ai-deadlines. As that repository is no longer maintained, we decided to make an up-to-date version along with a new UI. It was bootstrapped using Lovable and Cursor.

New data is fetched from https://github.com/ccfddl/ccf-deadlines/tree/main/conference/AI thanks to this comment.

A CRON job (set up as a Github action) automatically updates the data present at src/data/conferences.yml.

URL: https://huggingface.co/spaces/huggingface/ai-deadlines

Contribute

Contributions are very welcome!

To keep things minimal, we mainly focus on top-tier conferences in AI.

To add or update a deadline:

Fork the repository
Update src/data/conferences.yml
Make sure it has the title, year, id, link, deadline, timezone, date, city, country, tags attributes
- See available timezone strings here.
Optionally add a venue, note and abstract_deadline in case this info is known
Optionally add hindex (refers to h5-index from here)

Example:

- title: BestConf
  year: 2022
  id: bestconf22  # title as lower case + last two digits of year
  full_name: Best Conference for Anything  # full conference name
  link: link-to-website.com
  deadline: YYYY-MM-DD HH:SS
  abstract_deadline: YYYY-MM-DD HH:SS
  timezone: Asia/Seoul
  city: Incheon
  country: South Korea
  venue: Incheon Conference Centre, South Korea
  date: September, 18-22, 2022
  start: YYYY-MM-DD
  end: YYYY-MM-DD
  paperslink: link-to-full-paper-list.com
  pwclink: link-to-papers-with-code.com
  hindex: 100.0
  tags:
  - machine learning
  note: Important

Send a pull request to update src/data/conferences.yml.

How to run locally

If you want to work locally using your own IDE, you can clone this repo and push changes.

The only requirement is having Node.js & npm installed - install with nvm

Follow these steps:

# Step 1: Clone the repository using the project's Git URL.
git clone https://github.com/huggingface/ai-deadlines

# Step 2: Navigate to the project directory.
cd ai-deadlines

# Step 3: Install the necessary dependencies.
npm i

# Step 4: Start the development server with auto-reloading and an instant preview.
npm run dev

This runs the app at http://localhost:8080/.

Deploy with Docker

First build the Docker image as follows:

docker build -t ai-deadlines .

Next it can be run as follows:

docker run -it -p 8080:8080 ai-deadlines

You can see it in your web browser at http://localhost:8080/.

Technologies used

This project is built with:

Vite
TypeScript
React
shadcn-ui
Tailwind CSS

Deploy on the cloud

One way to deploy this on a cloud is by using Artifact Registry (for hosting the Docker image) and Cloud Run (a serverless service by Google to run Docker containers). Make sure to have the gcloud SDK installed. To deploy, simply run:

gcloud auth login
gcloud auth application-default login
gcloud run deploy --source .

License

This project is licensed under MIT.

Maintainers

Feel free to just open an issue. Otherwise contact @nielsrogge