Describes the series’ typical recent cycle; last reviewed 2026-08-07. The official call is the authority on this year’s dates.
About NeurIPS
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.
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.