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 As that repository is no longer maintained, we decided to make an up-to-date version along with a new UI.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.

It is hosted at https://huggingface.co/spaces/huggingface/ai-deadlines.

New data is automatically fetched by AI Agents, which regularly open pull requests. See the agents folder for details.

Before that, we used to fetch data from https://github.com/ccfddl/ccf-deadlines/tree/main/conference/AI.

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
• Add a new block to the appropriate conference file in src/data/conferences/. Do not update an existing block of a previous time the conference took place but rather add a new block at the bottom of the file
• Make sure it has the title, year, id, link, deadlines, date, city, country, tags attributes
  • For deadlines that use "Anywhere on Earth" timing, always use AoE (not UTC-12). Other supported formats: IANA timezone names (e.g. Asia/Seoul), UTC±X, GMT±X. See available IANA timezone strings here.
• Optionally add a venue, note and hindex (this refers to the h5-index from here) which indicates the importance of a conference

You can add any custom number of deadlines, with any custom string for the type and label. The app will simply use the first upcoming deadline to showcase a deadline counter, and display all upcoming deadlines in the conference details card.

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
  deadlines:
    - type: abstract
      label: Abstract deadline
      date: '2025-10-09 13:59:59'
      timezone: GMT+02
    - type: submission
      label: Paper submission deadline
      date: '2025-10-09 13:59:59'
      timezone: GMT+02
  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 the appropriate conference file in src/data/conferences/.

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/.

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). See this YouTube video for a nice intro.

Make sure to:

• create a Google Cloud project
• set up a billing account
• have the gcloud SDK installed.

To deploy, simply run:

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

Technologies used

This project is built with:

• Vite
• TypeScript
• React
• shadcn-ui
• Tailwind CSS

License

This project is licensed under MIT.

Maintainers

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