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Machine learning conferences 2027

9 Machine learning research events in 2027: 7 academic conferences, 2 conferences. For everything on this topic, including the rest of 2026, see all Machine learning research events.

  • February 2027
  • FEB16
    AAAI 2027
    Feb 16–23, 2027 · Montreal, Canada · Academic conference
    Travel support
  • FEB21
    EAAI Symposium on Educational Advances in Artificial Intelligence
    Feb 21–23, 2027 · Montreal, Canada · Conference
    Travel support
  • March 2027
  • MAR9
    ALT 2027
    Mar 9–12, 2027 · Leiden, Netherlands · Academic conference
  • April 2027
  • APR26
    ICLR 2027
    Apr 26–30, 2027 · San Francisco, United States · Academic conference
  • May 2027
  • MAY3
    AISTATS 2027
    May 3–6, 2027 · Montreal, Canada · Academic conference
  • June 2027
  • JUN14
    IJCNN 2027
    Jun 14–18, 2027 · Cape Town, South Africa · Academic conference
    CFP closes Jan 31
  • JUN28
    COLT 2027
    Jun 28 – Jul 2, 2027 · Tokyo, Japan · Academic conference
  • August 2027
  • AUG7
    IJCAI 2027
    Aug 7–13, 2027 · Kyoto, Japan · Academic conference
    CFP closes Jan 11
  • Dates to be confirmed
  • DATESTBC
    AISTATS 2027: AI and Statistics in Paris ↗
    Dates to be confirmed · Paris, France + online · Conference
    Dates to be confirmed

FAQ

What is the next event on this list?
AAAI 2027, Feb 16–23, 2027 (Montreal, Canada).
How many events are listed?
8 upcoming events with confirmed dates (7 academic conferences, 1 conference), from Oct 21, 2026 through December 2027. Another 1 are listed with dates still to be confirmed by the organizer.
Are any calls for papers or speakers open?
Yes: 2 of these events have a published CFP deadline that hasn't passed yet. See all open CFPs.
How current is this data?
This list was updated on Oct 21, 2026: past events drop off and deadlines are recalculated on every update. Every confirmed date was checked against the event's official website (most recently on Oct 20, 2026), and each event page shows its own last-verified date and links the source for every field.