The conference was founded in 1987 and is now a multi-track interdisciplinary annual meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops that provide a less formal setting for the exchange of ideas.
1.會(huì)議信息
會(huì)議全稱： Annual Conference on Neural Information Processing Systems
會(huì)議網(wǎng)址： https://neurips.cc/Conferences/2023
會(huì)議地點(diǎn)： Pittsburgh, PA, USA
CCF分類： A類文章來源：http://www.zghlxwxcb.cn/news/detail-442929.html
錄取率： NeurIPS-2022 25.6% (2665/10411)文章來源地址http://www.zghlxwxcb.cn/news/detail-442929.html
2.時(shí)間節(jié)點(diǎn)
| What | When |
|---|---|
| Abstract Submission Deadline | May 11 '23 08:00 PM UTC |
| Paper Submission Deadline | May 17 '23 08:00 PM |
| Author Notification | Sep 22 '23 01:00 AM UTC |
3.論文主題
- Applications (e.g., vision, language, speech and audio)
- Deep learning (e.g., architectures, generative models, optimization for deep networks)
- Evaluation (e.g., methodology, meta studies, replicability and validity)
- General machine learning (supervised, unsupervised, online, active, etc.)
- Infrastructure (e.g., libraries, improved implementation and scalability, distributed solutions)
- Machine learning for sciences (e.g. climate, health, life sciences, physics, social sciences)
- Neuroscience and cognitive science (e.g., neural coding, brain-computer interfaces)
- Optimization (e.g., convex and non-convex, stochastic, robust)
- Probabilistic methods (e.g., variational inference, causal inference, Gaussian processes)
- Reinforcement learning (e.g., decision and control, planning, hierarchical RL, robotics)
- Social and economic aspects of machine learning (e.g., fairness, interpretability, human-AI interaction, privacy, safety, strategic behavior)
- Theory (e.g., control theory, learning theory, algorithmic game theory)
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