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Early deadline for the November 1 cohort: Sunday, October 18 at 11:59pm PT

Guide

The world's top AI conferences

NeurIPS, ICML, ICLR and ACL are where Google DeepMind, Stanford and Berkeley publish their research. Every paper is peer reviewed by experts in the field before it is accepted.

What universities and AI labs look for

College admissions

“A full research paper or publication is strongly preferred.”
Caltech. Admissions, “Research Papers and Publications”
“Full research papers are generally the most helpful.”
Yale. Admissions, supplementary materials
“About 42% of our admitted students from the recent class submitted research papers and publications as part of their supplemental materials.”
Caltech. Admissions, “Research Papers and Publications”

Graduate school

“Meaningful research experience is often the most important factor in admission decisions.”
Harvard SEAS. What to know before you apply to graduate school in computer science
“Our Admissions Committee wants to know about your ability to do independent research.”
MIT EECS. Graduate Admissions FAQs
“A weakness in one area (say, GPA) can be compensated by demonstrated strength in another (say, real implementation experience, or research publications, or recommendation letters).”
Cornell Computer Science. Ph.D. admissions

AI labs and tech companies

“Track record of publications at NeurIPS, ICLR, ICML.”
Google DeepMind. Research Scientist, Gemini Safety and Behavior (job posting)
“Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc.)”
Apple. AIML Machine Learning Researcher (job posting, minimum qualification)
“Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar)…”
Meta. AI Research Scientist, FAIR (job posting)

How AI venues rank

Google Scholar ranks journals and conferences by how often their recent papers are cited. It keeps a separate list for each field. The ranked examples below come from its Artificial Intelligence, Computational Linguistics and Computer Vision lists.

Google Scholar orders each list by a venue's h5-index. It is the largest number h for which h of the venue's papers from the last five complete years (2020 to 2024) have each been cited at least h times. NeurIPS has an h5-index of 371. That means at least 371 NeurIPS papers from those years have each been cited 371 times or more. A higher number means more of the venue's recent work is widely cited by other researchers.

The Tier 1 conferences are the top three in each of Google Scholar's artificial intelligence, language and computer vision lists: NeurIPS, ICLR and ICML; ACL, EMNLP and NAACL; CVPR, ECCV and ICCV.

  1. 1

    Tier 1 conferences

    The top three in each Google Scholar list. Full-length papers, accepted through double-blind peer review.

    Computer vision

    1. #1CVPR
    2. #2ECCV
    3. #3ICCV

    Robotics has its own leading conferences: ICRA and CoRL. Algoverse teams do not publish there, because most robotics research needs a physical lab.

  2. 2

    Other established AI conferences

    Ranked just below Tier 1. Full-length papers, accepted through double-blind peer review.

    VenueGoogle Scholar rank
    AAAI#4 in Artificial Intelligence
    WACV#6 in Computer Vision & Pattern Recognition
    COLING#5 in Computational Linguistics
    EACL#6 in Computational Linguistics
    COLMThe Conference on Language Modeling. First met in 2024, so not yet in Google Scholar’s five-year rankings.
  3. 3

    Venues that carry little weight in AI research

    Reviewed by students, by the program itself or by people outside AI.

    Student journals and conferences, symposia and journals a program runs for its own students, and journals that charge authors to publish. None of them appears in Google Scholar’s Artificial Intelligence, Computational Linguistics or Computer Vision lists. The ones Scholar Metrics tracks have an h5-index between 3 and 28, against 371 for NeurIPS.

    • Student journal

      Journal of Emerging Investigators

      Publishes middle and high school authors aged 13 or older, each with an adult senior author. Charges $49 at submission.

      Source: JEI, submission FAQ. Not listed in Google Scholar Metrics.

    • Student journal

      Curieux Academic Journal

      Describes itself as a youth-led nonprofit. Publishes high school and middle school students.

      Source: curieuxacademicjournal.com. Not listed in Google Scholar Metrics.

    • Student journal

      National High School Journal of Science

      Publishes research by high school students. Its reviewers are graduate students, postdocs and scientists.

      Source: NHSJS, About. Not listed in Google Scholar Metrics.

    • Student journal

      International Journal of High School Research

      Publishes high school authors. Reviewed by faculty and professionals, by its own description.

      Source: ijhsr.terrajournals.org. h5-index 3 in Google Scholar Metrics.

    • Regional conference

      International Conference on ICT Convergence

      Run by the Korean Institute of Communications and Information Sciences on Jeju Island. IEEE is a technical co-sponsor. Not in Google Scholar’s AI, language or vision lists.

      Source: ictc.org. h5-index 28 in Google Scholar Metrics.

    • Program symposium

      A program’s own symposium or journal

      The presenters are the program’s own students and the program selects them. Nothing outside the program lists the paper.

    • Competition

      Science fairs

      Regeneron ISEF calls itself the world’s largest pre-college science competition. Judges award prizes. No paper is published or reviewed by the field.

      Source: Society for Science.

  4. 4

    Preprints and self-publishing

    No review.

    arXiv and similar servers post a paper without review. So does a PDF on a program’s site, a personal page or a program’s own preprint server. A preprint shows that the paper exists. The conference listing shows whether it was accepted anywhere.

    • Preprint server

      arXiv

      “The arXiv moderation process is not a peer-review process,” in arXiv’s words. Moderators check that a submission is on topic and in scholarly form.

      Source: arXiv, moderation.

    • Self-published

      A PDF on a website

      A paper posted on a program’s site, a personal page or a document-sharing service has not been reviewed.

How to check any venue

  1. Is it in Google Scholar’s rankings?

    Search the venue’s name in Google Scholar Metrics. NeurIPS has an h5-index of 371. A venue with no entry has too few cited papers to be listed at all. Google Scholar Metrics.

  2. Who reviews?

    Look for the program committee or reviewer list. At an AI conference the organizers assign researchers in the topic. At a student journal the reviewers are often students. Some journals do not say who reviews.

  3. What share of submissions is accepted?

    Conferences publish the figure in their opening remarks or on OpenReview. The main AI conferences accept between a quarter and a third. If a venue publishes no figure, ask the program for one.

  4. Does the author pay to publish?

    A submission or publication fee is on the journal’s guidelines page. AI conferences charge nothing to submit. Presenting requires a conference registration.

  5. Would an AI researcher cite it?

    Search the venue’s name on Google Scholar and read who cites its papers. Papers at the first two levels above are cited by other researchers in the field.

Ranks and h5-index: Google Scholar Metrics, Artificial Intelligence, Computational Linguistics and Computer Vision & Pattern Recognition lists, retrieved September 28, 2026. Venues in levels 3 and 4 were looked up in Google Scholar Metrics on September 28, 2026. Each entry links to the lookup.

In computer science the conference is the main venue. A Computing Research Association guide to evaluating faculty for tenure says that “the premier conferences are generally more selective than the premier journals.” Read the guide.

Where modern AI was first published

The papers behind today's AI products were first published at these conferences. Each title below links to the paper on the conference's own site.

1987 · NIPS

The first NIPS meeting

The conference now called NeurIPS met for the first time, with 90 papers. It has met every year since and is now the most-cited venue in AI.

2012 · NeurIPS

ImageNet Classification with Deep Convolutional Neural Networks

Began the deep learning era. It showed that neural networks could recognize images far better than any earlier method, and modern photo search and medical imaging AI descend from it.

2017 · NeurIPS

Attention Is All You Need

Introduced the Transformer, the design that ChatGPT, Claude and Gemini are built on.

2019 · NAACL

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

The language model Google added to Search that October. It won Best Long Paper at NAACL 2019.

Google applied it to one in ten English searches in the US. Google, October 25, 2019.

QAQAQAQA

2020 · NeurIPS

Language Models are Few-Shot Learners

The GPT-3 paper. It showed that one model could take on new tasks from a few examples in a prompt, and it won a best paper award at the conference.

2022 · NeurIPS

Training Language Models to Follow Instructions with Human Feedback

Introduced the training method OpenAI then used to build ChatGPT: people rank a model’s answers, and the model learns from those rankings.

Main conference and workshops

Each Tier 1 conference publishes full-length, peer-reviewed papers in two places: the main conference and the workshops it hosts.

Main conference

The conference's broadest program, covering every area of the field. NeurIPS, ICML and ICLR accept between a quarter and a third of submissions.

Workshops

Focused programs on one research area, organized and reviewed by leading researchers in that area and presented at the conference. word2vec first appeared at an ICLR 2013 workshop, knowledge distillation at a NIPS 2014 workshop and DeepMind's first Atari paper at a NIPS 2013 workshop.

Look up any paper in 30 seconds

  1. Ask for the exact title of the paper.
  2. Search the title on OpenReview (openreview.net) or the ACL Anthology (aclanthology.org). These are the public systems the conferences themselves use.
  3. The listing names the conference, the track and every author. If a paper cannot be found there or on arXiv, ask why.

This works for any program's papers. Try it on one of our students' papers: Scratchpad Thinking: Alternation Between Storage and Computation in Latent Reasoning Models.

Names and terms

Conferences

NeurIPS
Conference on Neural Information Processing SystemsThe largest machine learning conference. Held every December since 1987. First in Google Scholar’s Artificial Intelligence list.
ICML
International Conference on Machine LearningHeld every July. One of the three general machine learning conferences along with NeurIPS and ICLR. Third in Google Scholar’s Artificial Intelligence list.
ICLR
International Conference on Learning RepresentationsHeld every spring. Anyone can read its reviews on OpenReview. Second in Google Scholar’s Artificial Intelligence list.
ACL
Annual Meeting of the Association for Computational LinguisticsThe main conference for research on language and AI. Chatbots come out of this area. First in Google Scholar’s Computational Linguistics list.
EMNLP
Conference on Empirical Methods in Natural Language ProcessingRun by the same association as ACL and held each fall. Second in Google Scholar’s Computational Linguistics list.
NAACL and EACL
North American and European chapters of the ACLRegional conferences of the same association, with the same review system as ACL.
AAAI
AAAI Conference on Artificial IntelligenceA general AI conference held since 1980. Fourth in Google Scholar’s Artificial Intelligence list.
CVPR
IEEE/CVF Conference on Computer Vision and Pattern RecognitionThe main conference for AI that works with images and video. First in Google Scholar’s Computer Vision list. Its papers are cited more than those of any other AI venue.
COLM
Conference on Language ModelingA conference on language models that first met in 2024.

Terms

Peer review
Several researchers in the same area read a paper before it can be accepted. They score it and write comments. The authors do not choose them. Most submissions are turned down.
Main conference
The central track of a conference. It takes full-length papers and has the lowest acceptance rate. Most authors are PhD students, professors and industry researchers.
Workshop
A meeting on one research area, held at the conference. Leading researchers in the area organize it and peer review its papers. Accepted papers are presented at the conference.
Findings
Main track at ACL and EMNLP. Findings papers go through the same main-conference peer review and are published in the conference’s Findings volume.
Oral and spotlight
A distinction the conference gives to a small share of its accepted papers, the ones its reviewers rated highest. Their authors present them on stage, as a full talk (oral) or a featured short talk (spotlight).
OpenReview
The public website most AI conferences use to run peer review. Accepted papers are listed there with their venue, track and authors.
arXiv
A public archive run by Cornell University where researchers post papers. Anyone can post there. An arXiv entry shows only that a paper exists. The conference listing shows whether it was accepted.

Each of our students' accepted papers is labeled with its venue and track.

Begin Your Journey

The application takes 5 minutes and is reviewed on a rolling basis. We look for strong technical signal—projects, coursework, or competition results—and a genuine curiosity to do real research.

If admitted, you will join a structured pipeline with direct mentorship to take your work from ideation to top conference submission at venues like NeurIPS, ACL, and EMNLP.

Begin Your Journey