Describes the series’ typical recent cycle; last reviewed 2026-08-07. The official call is the authority on this year’s dates.
About the conference
NeurIPS is one of the flagship venues of machine learning — alongside ICML and ICLR — covering the field end to end: theory, deep learning, reinforcement learning, ML systems, and neuroscience-adjacent work. Acceptance is highly competitive (recent main-track rates have run roughly in the 25% range), and a NeurIPS paper is a career-grade credential in the field.
The typical cycle: abstract and full-paper deadlines around May, author rebuttals over the summer, decisions in early autumn, and the conference each December. Tracks beyond the main one — datasets and benchmarks, workshops, competitions — have their own later deadlines, which is worth knowing when the May date slips past.
Frequently asked questions
When is the NeurIPS deadline?
Typically in May, with the abstract deadline about a week before full papers. Workshop and datasets-track deadlines fall later in the summer. The exact dates for the current cycle are on neurips.cc.
How hard is it to get into NeurIPS?
Main-track acceptance has recently run around one in four submissions, with tens of thousands of submissions. Strong empirical rigor, clear positioning against prior work, and a well-handled rebuttal materially move outcomes.