Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work.
This year’s accepted papers reveal a clear direction: open frontier models and open AI infrastructure have become foundational to how modern AI science gets done.
NVIDIA had 74 papers accepted at ICML 2026. Approximately 2,000 accepted papers cite NVIDIA GPUs, and 145 cite NVIDIA Nemotron — a family of open models, including open datasets — as the foundation for new research. Hundreds more draw on NVIDIA Cosmos, NVIDIA Isaac GR00T, BioNeMo and other NVIDIA open model families, spanning physical AI, robotics, autonomous vehicles and biomedical research.
The Themes Defining This Year’s Research
Areas including vision and video generation, reinforcement learning for large language models (LLMs) and agent training as well as AI inference remained prominent themes across this year’s papers, reflecting sustained investment these fields command — while several new areas also broke through.
