Data Conference Databasea Query.Farm index
Conferences / Academic

ACML (Asian Conference on Machine Learning)

Organizer
ACML Steering Committee
Category
Academic
Website
acml-conf.org
Social
X / Twitter
Typical place
7 cities
Topics
Academic researchGenerative AIMachine learning

Annual machine-learning research conference held across the Asia-Pacific since 2009 (conference and journal tracks; proceedings in PMLR, journal track in Machine Learning journal), with tutorials and workshops. Each edition has its own site at acml-conf.org/<year>/. Speakers recorded are keynotes/invited speakers only. X account is the ACML conference account linked from the 2022/2023 sites. ACML 2026 (Melbourne) is promoted by the NeurIPS blog alongside NeurIPS 2026 Sydney.

Events82019–2026
Next event2026Dec 1–4, 2026 · Melbourne, Australia
Sponsoring companies4347 sponsorships
Speaker appearances33

Activity by year

Sponsors

Sponsor companies per year

Distinct companies sponsoring any event that year.

081520192020202120222023202420252026
081520192020202120222023202420252026
  • Complete list
  • No sponsor list

1 of 8 years have a partial, unverified or missing sponsor list, so their bars undercount.

Speakers

Speakers per year

Distinct people on stage at any event that year; same year axis as sponsors.

03520192020202120222023202420252026
03520192020202120222023202420252026

Events

DatesEventPlaceFormat / statusAttendanceSponsorsSpeakers
Dec 1–4, 2026ACML 2026Melbourne, AustraliaAnnounced—35
Dec 9–12, 2025ACML 2025Taipei, Taiwan—143
Dec 5–8, 2024ACML 2024Hanoi, Vietnam—44
Nov 11–14, 2023ACML 2023Istanbul, Türkiye—24
Dec 12–14, 2022ACML 2022Hyderabad, India—95
Nov 17–19, 2021ACML 2021—Online—54
Nov 18–20, 2020ACML 2020Bangkok, ThailandOnline——4
Nov 17–19, 2019ACML 2019Nagoya, Japan453104

Attendance over time

02274532019

Reported attendance for 1 of 8 events; figures are as published by the organizer.

Most frequent speaker companies

Speaker appearances across all events, by the speaker's company.

Similar conferences

Conferences with the most similar speaker mix: their speakers come from the same companies. Bars are cosine similarity on a 0–1 scale; between conferences even the closest pairs share only part of their crowd.

  1. IEEE ICDE0.20
  2. KDD0.16
  3. NeurIPS0.10
  4. CIDR0.09
  5. AJCAI0.09

3 Cluster: Google · Amazon Web Services · Microsoft crowd →

Sponsors over the years

Sources