AI Deadlines Tracker

May 30, 2025 · 1 min read

Screenshot of the AI Deadlines tracker

Overview

The AI Deadlines Tracker is an open-source web application that provides a structured and continuously updated overview of major artificial intelligence and machine learning conference deadlines.

The platform allows researchers to quickly identify upcoming submission deadlines without navigating dozens of individual conference websites. It centralizes essential metadata such as conference rating, h5-index thresholds, submission timelines, and approximate future dates into a single, searchable interface.

The tool is accessible at: https://aideadlines.nauen-it.de

Motivation

Planning research submissions in AI is increasingly complex. Top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, and many domain-specific venues operate on different cycles, with abstract deadlines often preceding paper deadlines by several days.

Missing a deadline can delay a project by an entire year.

The AI Deadlines Tracker was built to:

Reduce deadline fragmentation
Improve planning transparency
Support early-stage PhD students and research assistants
Provide filtering by ranking and impact indicators
Make strategic submission planning easier

Features

The platform currently supports:

Filtering by conference name
Filtering by minimum h5-index
Filtering by CORE rating (A*, A, B, C, D)
Toggle for past deadlines
Approximate future deadline previews
Open-source contribution workflow via GitHub

Last updated on Apr 17, 2026

AI Tool

Authors

Tobias Christian Nauen

PhD Student

I’m a researcher of artificial intelligence at DFKI and RPTU Kaiserslautern-Landau. My research interests include efficient deep learning, transformer models, multimodal learning, and computer vision. In my PhD project, my focus lies on the development of efficient transformer models for vision, language, and multimodal tasks.