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.