Machine Learning Conferences in 2027: Top Venues, Dates and Deadlines

The top machine learning conferences of 2027 are ICLR (April), AISTATS (May), COLT (June to July), ICML (July to August) and KDD (August), with NeurIPS closing out 2026 in December. Most flagship deadlines for 2027 have already passed, so the useful question now is which venue fits your work and which submission window is still open. This guide gives you the verified calendar and a plain way to choose.

All dates were checked on official conference pages on 4 November 2026. Organisers can change them, so confirm on the linked page before you plan travel.

Key Takeaways

• ICLR 2027 (26 to 30 April), AISTATS 2027 (3 to 6 May, Montreal) and KDD 2027 cycle 1 have closed. COLT 2027 is due 29 January 2027.

• ICML 2027 (31 July to 6 August, Rio de Janeiro) has not announced its call for papers. NeurIPS 2027 has not been announced either.

• NeurIPS 2026 is the next big event: 6 to 12 December, with Sydney as the main site and satellites in Atlanta and Paris.

• Flagship venues give reach. Focused venues give fit and speed, which can matter more for applied or early-stage work.

SAI Conferences With Machine Learning Tracks

SAI organises two conferences that list Machine Learning as a track, plus a vision conference that covers deep learning. Current submission rounds are on each Call for Papers page.

What Are the Top Machine Learning Conferences in 2027?

Here is the verified calendar, ordered by event date.

Three more notes:

• NeurIPS 2026 takes place 6 to 12 December. The Sydney main conference runs 11 to 12 December, Atlanta runs 9 to 12 December and Paris runs 9 to 11 December. Camera-ready papers are due 6 November. NeurIPS 2027 has not been announced.

• UAI 2027 has not been announced. UAI 2026 was held in Amsterdam in August 2026.

• CoRL 2026 runs 9 to 12 November 2026 in Austin, Texas, if robot learning is relevant to you. CoRL 2027 has not been announced.

ICMLA 2026 was held 5 to 7 October 2026 and its 2027 edition has not been announced.

For a fuller view of what is open and what has closed, see our AI conference deadlines tracker.

How Do the Major Machine Learning Venues Differ?

Each major venue has a different scope, so match your paper to it. Check each venue's author guidelines for what reviewers are asked to look for.

• ICML and NeurIPS cover the broadest range of machine learning topics.

• ICLR is generally associated with deep learning and representation learning.

• AISTATS (Artificial Intelligence and Statistics) suits work at that intersection.

• COLT is the Conference on Learning Theory, so it suits formal, theoretical results.

• KDD covers data mining and applied data science, and it runs more than one submission cycle.

A rough guide: if your main contribution is a theorem, look at COLT. If it is an empirical result on standard benchmarks, look at ICML, NeurIPS or ICLR. If it is a deployed system or a data-driven application, look at KDD or a focused applied venue.

Machine learning tracks at two SAI conferences

IntelliSys and Computing Conference both list Machine Learning as a track. Current submission rounds are on their Call for Papers pages. Submit to IntelliSys 2027 | Submit to Computing Conference 2027

When Does a Focused Conference Make More Sense?

A focused conference suits work that is sound and useful but not aimed at the largest stage. That includes applied studies, regional research groups, early-stage ideas and work you need published on a predictable calendar.

SAI Conferences runs focused, in-person events with machine learning tracks, and two of them list Machine Learning as a track:

Both report a selective acceptance rate of 37 to 39 percent and use double-blind review, with at least three regular or two senior programme committee members per paper. Presentations are oral or poster, and authors who cannot travel can participate virtually. Proceedings are published by Springer in Lecture Notes in Networks and Systems and submitted for indexing in Web of Science, Scopus, INSPEC, WTI Frankfurt eG, zbMATH and SCImago. Submitted means put forward, and the databases decide, so read our guide to Scopus indexed conferences to verify claims yourself.

Each conference lists its current submission rounds, notification dates and camera-ready dates on its Call for Papers page: IntelliSys and Computing.

How Do You Plan a Machine Learning Submission Year?

Think in cycles, not single bets.

1. Pick a primary and a backup. Choose one ambitious venue, then a second with a deadline after the first notification date.

2. Work backward from deadlines. Leave time for experiments, ablations, figures and internal review.

3. Read recent accepted papers. Match the depth and style of the venue before you write.

4. Check practicalities. Page limits, anonymity rules, publisher and indexing all matter.

5. Budget early. Our travel grants guide recommends starting three to four months before the event.

For the wider picture, read our guide to upcoming AI conferences, our list of top computer vision conferences and our overview of quantum computing conferences.

Frequently Asked Questions

What are the best machine learning conferences?

ICML, NeurIPS and ICLR are the three most visible general venues. AISTATS, COLT and KDD are leading specialists for statistics, theory and data mining.

When is ICML 2027?

ICML 2027 runs 31 July to 6 August 2027 in Rio de Janeiro, with the main conference on 2 to 4 August. The call for papers has not been published yet.

When is the NeurIPS 2027 deadline?

It has not been announced. NeurIPS 2026 used a 4 May abstract deadline and a 6 May paper deadline, so watch the official site in spring 2027.

Which machine learning conference deadlines are still open?

COLT 2027 closes on 29 January 2027. SAI's IntelliSys 2027 and Computing Conference 2027 list their current rounds on their Call for Papers pages. Most flagship 2027 deadlines have passed.

Is ICLR 2027 in San Francisco?

The ICLR home page lists San Francisco, but the dates page shows the location as to be announced. Confirm on the official site before you book travel.

Is a smaller machine learning conference worth it?

It can be, when peer review is rigorous, the publisher is reputable and the indexing policy is clear. The right choice depends on your goals, your timeline and how well the venue's scope matches your work.

Submit Your Machine Learning Paper

Choose your venue, check its current rounds and send your work.

Submit to IntelliSys 2027 | Submit to Computing Conference 2027

Related Guides

• Upcoming AI Conferences in 2027

• AI Conference Deadlines 2027

• Scopus Indexed Conferences

• Top Computer Vision Conferences in 2027

Dates and deadlines were checked on official pages in November 2026 and can change. Deadlines are Anywhere on Earth unless stated. SAI organises IntelliSys, Computing Conference and CVC, so those are our own events, and every other conference in this guide is independent. SAI cannot guarantee that any paper will be published or indexed. Confirm details on each event page before you submit, and see the Open for submissions panel on this page for live round status.