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.