---
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](https://hf.co/papers) at [hf.co/papers/submit](https://hf.co/papers/submit), assuming the paper is available on [Arxiv](https://arxiv.org/).
The benefit of [hf.co/papers](https://hf.co/papers) is that it allows people to quickly find related artifacts, such as models, datasets and demos. See [this paper page](https://huggingface.co/papers/2502.04328) 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 As that repository is no longer maintained, we decided to make an up-to-date version along with a new UI.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](https://lovable.dev/) and [Cursor](https://www.cursor.com/).
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](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/](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](https://momentjs.com/timezone/).
- Optionally add a `venue`, `note` and `hindex` (this refers to the h5-index from [here](https://scholar.google.com/citations?view_op=top_venues&vq=eng)) 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:
```yaml
- 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/](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](https://github.com/nvm-sh/nvm#installing-and-updating)
Follow these steps:
```sh
# 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:
```bash
docker build -t ai-deadlines .
```
Next it can be run as follows:
```bash
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](https://cloud.google.com/artifact-registry/docs) (for hosting the Docker image) and [Cloud Run](https://cloud.google.com/run?hl=en) (a serverless service by Google to run Docker containers). See [this YouTube video](https://youtu.be/cw34KMPSt4k?si=UbzNRobNzib93uDl) for a nice intro.
Make sure to:
- create a [Google Cloud project](https://console.cloud.google.com/)
- set up a billing account
- have the [gcloud SDK installed](https://cloud.google.com/sdk/docs/install).
To deploy, simply run:
```bash
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](LICENSE).
## Maintainers
Feel free to just open an issue. Otherwise contact @nielsrogge