Thirty-sixth Conference on Neural Information Processing Systems
NeurIPS 2022
- URL: https://neurips.cc/Conferences/2022/CallForPapers
- Event Date: 2022-11-28 ~ 2022-12-08
- Abstract Submission Date: 2022-05-16
- Submission Date: 2022-05-19
The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022) is an interdisciplinary conference that brings together researchers in 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:
General Machine Learning
Deep Learning (e.g., architectures, generative models, optimization for deep networks)
Reinforcement Learning (e.g., decision and control, planning, hierarchical RL, robotics)
Applications (e.g., speech processing, computer vision, NLP)
Machine Learning for Sciences (e.g. biology, physics, health sciences, social sciences)
Probabilistic Methods (e.g., variational inference, causal inference, Gaussian processes)
Optimization (e.g., convex and non-convex optimization)
Neuroscience and Cognitive Science (e.g., neural coding, brain-computer interfaces)
Theory (e.g., control theory, learning theory, algorithmic game theory)
Infrastructure (e.g., datasets, competitions, implementations, libraries)
Social Aspects of Machine Learning (e.g., AI safety, fairness, privacy, interpretability, human-AI interaction)
Machine learning is a rapidly evolving field, and so we welcome interdisciplinary submissions that do not fit neatly into existing categories.
General Machine Learning
Deep Learning (e.g., architectures, generative models, optimization for deep networks)
Reinforcement Learning (e.g., decision and control, planning, hierarchical RL, robotics)
Applications (e.g., speech processing, computer vision, NLP)
Machine Learning for Sciences (e.g. biology, physics, health sciences, social sciences)
Probabilistic Methods (e.g., variational inference, causal inference, Gaussian processes)
Optimization (e.g., convex and non-convex optimization)
Neuroscience and Cognitive Science (e.g., neural coding, brain-computer interfaces)
Theory (e.g., control theory, learning theory, algorithmic game theory)
Infrastructure (e.g., datasets, competitions, implementations, libraries)
Social Aspects of Machine Learning (e.g., AI safety, fairness, privacy, interpretability, human-AI interaction)
Machine learning is a rapidly evolving field, and so we welcome interdisciplinary submissions that do not fit neatly into existing categories.
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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