# NeurIPS — Conference on Neural Information Processing Systems

- **Submission deadline**: 2026-05-04
- **Notification date**: 2026-09-24
- **Conference date**: 2026-12-06
- **Location**: Sydney, Australia
- **Rankings**: CCF A · CORE A* · QUALIS A1
- **Trackers**: 359
- **Attendees**: 29
- **Canonical page**: https://www.myhuiban.com/conference/3214

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2025 | 21575 | 5290 | 24.5% |
| 2024 | 15671 | 4043 | 25.8% |
| 2023 | 12343 | 3222 | 26.1% |
| 2022 | 10411 | 2671 | 25.7% |
| 2021 | 9122 | 2344 | 25.7% |
| 2020 | 9454 | 1900 | 20.1% |
| 2019 | 6743 | 1428 | 21.2% |
| 2018 | 4856 | 1011 | 20.8% |
| 2017 | 3240 | 678 | 20.9% |
| 2016 | 2403 | 569 | 23.7% |

## Call for papers

The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026) is an interdisciplinary conference that brings together researchers in deep learning, generative AI, core machine learning, neuroscience, statistics, optimization, computer vision, natural language processing, life sciences, natural sciences, social sciences, and other adjacent fields. We invite submissions presenting new and original research on topics including but not limited to the following: Computer vision Language and multimodal language models Robotics, embodied systems, and engineering AI/ML for physical sciences AI/ML for health and biotechnology AI/ML for sustainability AI/ML for social sciences AI/ML for creatives Neuroscience and cognitive science Socio-technical aspects of AI Human interaction in AI systems Decision-making, reinforcement learning, and control Generalization and multi-task learning Optimization Probabilistic methods AI and network science Data-centric aspects of AI SysML Infrastructure Theory Deep learning General machine learning: core contributions in supervised and unsupervised methods Machine learning is a rapidly evolving field, and so we welcome interdisciplinary submissions that do not fit neatly into existing categories. We also encourage in-depth analysis of existing methods that provide new insights in terms of their limitations or behavior beyond the scope of the original work.

## Related conferences

- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141
- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
- STOC — ACM Symposium on Theory of Computing — https://www.myhuiban.com/conference/359
- OSDI — USENIX Symposium on Operating Systems Design and Implementation — https://www.myhuiban.com/conference/358

## Related journals

- Neural Networks — https://www.myhuiban.com/journal/197
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- IEEE Transactions on Computers — https://www.myhuiban.com/journal/3
- IEEE Transactions on Dependable and Secure Computing — https://www.myhuiban.com/journal/9
- IEEE Transactions on Parallel and Distributed Systems — https://www.myhuiban.com/journal/4

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Source: Conference Partner — https://www.myhuiban.com/conference/3214 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)