The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022)

Nov 28th through Dec 9th, Virtual Conference

Call For Papers

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.

Topics of interest include, but are 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, ethics)

Paper Submission

Authors will be asked to confirm that their submissions accord with the Online Submission System NeurIPS code of conduct.

All submissions must be anonymized and may not contain any identifying information that may violate the double-blind reviewing policy. This policy applies to any supplementary or linked material as well, including code. If you are including links to any external material, it is your responsibility to guarantee anonymous browsing. Please do not include acknowledgements at submission time. If you need to cite one of your own papers, you should do so with adequate anonymization to preserve double-blind reviewing.

Same as last year, we are using OpenReview to manage submissions. The reviews and author responses will not be public initially. As in previous years, submissions under review will be visible only to their assigned program committee. We will not be soliciting comments from the general public during the reviewing process. Anyone who plans to submit a paper as an author or a co-author will need to create (or update) their OpenReview profile by the full paper submission deadline.

Important Dates

User Name : tansiya
Posted 01-04-2022 on 21:30:58 AEDT