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NeurIPS Publication Guide

NeurIPS (the Conference on Neural Information Processing Systems) is the largest and most influential annual conference in machine learning and AI. First held in Denver in 1987 and renamed from NIPS to NeurIPS in November 2018, it is run by a US non-profit foundation. Accepted papers appear in the fully open Advances in Neural Information Processing Systems proceedings at no cost to authors.

Proceedings series: Advances in Neural Information Processing Systems - annual volumes since 1987
Papers published: 5,290 main-track papers accepted for 2025 (from 21,575 submissions, ~24.5%)
Cost to publish: $0 - no submission or publication fee; conference registration required to present
Open access: Fully open - all proceedings free to read at proceedings.neurips.cc
Peer review: Double-anonymized via OpenReview, with author rebuttal and discussion phases
Review transparency: Reviews and discussions of accepted papers made public after decisions
Tracks: Main Track · Datasets & Benchmarks · Position Papers · Workshops
Website: neurips.cc
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Publication Guide

NeurIPS - the Conference on Neural Information Processing Systems - is the largest annual conference in machine learning and artificial intelligence, and one of the most competitive publication venues in all of computer science. First held in Denver, Colorado in 1987 and renamed from NIPS to NeurIPS in November 2018, the conference is run by the Neural Information Processing Systems Foundation, a US non-profit whose board consists largely of previous general chairs. In computer science, top conference proceedings function as primary publications: a NeurIPS paper is a full peer-reviewed, archival research contribution, not an abstract or a poster summary.

For 2025, the main track received 21,575 submissions and accepted 5,290 papers (about 24.5%), with the conference running in both San Diego and Mexico City. This guide covers how the venue works: which track fits your paper, the annual submission cycle, OpenReview peer review, formatting requirements, and what publication costs (nothing).

Which NeurIPS track fits your paper?

Your paper is...Submit to
New algorithms, theory, models, or empirical ML/AI researchMain Track - the core venue; 21,575 submissions in 2025
A new dataset, benchmark, or evaluation methodologyDatasets & Benchmarks Track - archival since 2021; 1,995 submissions in 2025
An argument about the direction, ethics, or practice of the fieldPosition Paper Track - for well-argued positions rather than new results
Early-stage or specialized work seeking feedbackWorkshops - typically non-archival; a common route before a main-track submission

How the submission cycle works

NeurIPS runs on a fixed annual calendar rather than rolling submission. The 2025 cycle is representative:

StageTiming (2025 cycle)
Abstract submissionMid-May
Full paper deadlineMay 15
Supplementary materialsAbout one week after the paper deadline
Reviews released + author rebuttalLate July (one-week response window)
Reviewer-author discussionEarly August
DecisionsSeptember 18
Camera-readyOctober 23
ConferenceDecember

Miss the deadline and the next opportunity is a full year away - many authors treat NeurIPS, ICML, and ICLR as one staggered submission calendar for the same community.

Peer review on OpenReview

All reviewing runs on OpenReview. Key features of the model:

  • Double-anonymized at the reviewer and area-chair level: submissions must contain no identifying information, and reviewer identities are never revealed. Senior area chairs and program chairs can see author identities.
  • Rebuttal and discussion: authors get a one-week window to respond to reviews, followed by structured reviewer-author and reviewer-AC discussion periods.
  • Public reviews after decisions: reviews, meta-reviews, and author discussions for accepted papers are made public on OpenReview (with reviewer identities kept anonymous). Authors of rejected papers can opt in to making theirs public too.
  • During review, submissions are visible only to the assigned program committee - NeurIPS does not post submissions publicly before decisions.

Costs and open access

There is no fee to submit to NeurIPS and no fee to publish an accepted paper. The complete proceedings - every volume of Advances in Neural Information Processing Systems back to 1987 - are free to read at proceedings.neurips.cc. Authors retain rights to their work, and posting preprints to arXiv before and during review is standard practice in the community.

The one real cost: at least one author of an accepted paper must register for the conference to present it, and registration plus travel is typically the largest expense. The foundation offers financial assistance programs for attendees who need support.

Formatting and templates

Formatting is strict. Submissions must use the official NeurIPS LaTeX style file for the current year - papers violating the style requirements may be rejected without review. The main text is limited to nine content pages including figures and tables, with references and the mandatory paper checklist not counting against the limit; everything goes in a single PDF (max 50 MB). SciSpace hosts the NeurIPS template so you can write and format your manuscript without wrestling with the class file.

Citing NeurIPS papers

Cite NeurIPS papers as conference proceedings: author(s), title, "Advances in Neural Information Processing Systems" (volume number), year, and page or paper number. The proceedings site provides BibTeX entries for every paper. In-text references use the numbered style defined by the NeurIPS style file.

Ethics and integrity

NeurIPS maintains a code of conduct and a code of ethics for submissions; papers can be rejected on ethical grounds and flagged submissions receive dedicated ethics review. The paper checklist requires authors to address reproducibility, licensing of assets, societal impact, and human-subject considerations. LLM usage in papers must comply with the current-year LLM policy stated in the call for papers.

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PUBLISHER COMPARISON

How NeurIPS Foundation compares

How NeurIPS compares as a publication venue - a free, fully open, top-tier conference proceedings rather than a journal portfolio.

NeurIPS Foundation
NeurIPS Foundation logo
How NeurIPS compares as a publication venue - a free, fully open, top-tier conference proceedings rather than a journal portfolio.
ICML
ICML logo
How ICML compares as a publishing venue - cost, openness, review model, and speed - for machine learning researchers choosing between the top conferences and journals.
ICLR
ICLR logo
How ICLR compares as a publication venue: a single annual, fully open-access proceedings with open peer review rather than a journal portfolio.
AAAI
AAAI logo
How AAAI compares as a society conference publisher across venue breadth, open-access routes, author costs and review turnaround.
Core Features
Best for
Top-tier machine learning and AI research; canonical CS venue
Top-tier machine learning research - one of the 'big three' ML conferences with NeurIPS and ICLR
Deep learning and representation learning research seeking top-tier, fast, open review
Core AI research - AAAI Conference, ICWSM (social media), HCOMP, AIIDE
Typical APC (OA)
$0 - no publication fee of any kind
$0 - no publication fee
$0 - no publication fee
$0 for proceedings (registration required); AI Magazine varies
LMIC fee waivers
N/A - no fees to waive; financial assistance offered for registration/travel
N/A - no APCs to waive; financial assistance offered for conference registration
N/A - no publication fees; registration assistance varies by year
Registration scholarships/waivers offered at some AAAI events - check each conference
Read & Publish deals coverage
N/A - no APC or subscription model to transform
N/A - no transformative agreements needed
N/A - no subscription model, so no transformative agreements
N/A - no subscription journal portfolio, so no transformative agreements
Free / subscription (non-OA option)
N/A - all proceedings are free to read; no subscription model
N/A - proceedings are fully open access
N/A - everything is open access
N/A - proceedings are open access; AI Magazine hosted by Wiley
Breadth of titles
1 annual proceedings series across three tracks, plus workshops
1 annual proceedings volume in PMLR, plus co-located workshops
1 annual proceedings (plus workshop track)
1 magazine (AI Magazine) + recurring proceedings for ~6 conference and symposium series
Cheapest realistic OA route
$0 - every accepted paper is open access by default
Default - every accepted paper is free to read on PMLR
Default - all accepted papers are open access at no cost
Conference proceedings - free to read on ojs.aaai.org, no APC
Speed to first decision
Fixed annual cycle: ~4 months from May submission to September notification
~3 months, fixed annual cycle (ICML 2026: submit Jan 28, notified Apr 30)
Fixed annual cycle: ~6-7 weeks from paper deadline to public reviews; final decisions ~4 months
Fixed annual cycle: ~3-4 months from submission to final decision (two-phase review)
KEY BRANDS

Popular NeurIPS Venues

NeurIPS publishes a single annual proceedings series, Advances in Neural Information Processing Systems, rather than a family of separately indexed journals.

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Faqs

NeurIPS Foundation FAQs

NeurIPS (Conference on Neural Information Processing Systems) is the largest annual machine learning and AI conference, first held in Denver in 1987. It is run by a US non-profit foundation, and accepted papers are published as full peer-reviewed papers in the open-access proceedings series Advances in Neural Information Processing Systems.