NeurIPS 2026

The largest machine learning research conference, held this year as three simultaneous events in Sydney, Atlanta and Paris. It is where AlexNet, GANs and the Transformer were first presented.

Dec 6–13Conference dates
3Host cities
102Workshops
One conference, three continents

Three cities

Each city runs its own main conference days and workshops. Registration opened in September for Sydney and Atlanta, with Paris opening separately.

Australia

Sydney

Dec 6–12

International Convention Centre

Main conference Dec 8–10

48 workshops · Dec 11–12

United States

Atlanta

Dec 8–13

Georgia World Congress Center

Main conference Dec 9–11

26 workshops · Dec 12–13

France

Paris

Dec 9–13

Palais des Congrès de Paris

Main conference Dec 9–11

28 workshops · Dec 12–13

Deadlines are Anywhere on Earth

Key dates

Paper submissions for 2026 are closed. NeurIPS deadlines usually fall in May, and the 2027 dates will be added here once announced.

  1. May 4, 2026Abstract deadlineDone
  2. May 6, 2026Full paper deadlineDone
  3. Sep 24, 2026Author notificationsDone
  4. Dec 6, 2026Opens in Sydney with Expo dayUpcoming
  5. Dec 8–11, 2026Main conference days across the three citiesUpcoming
  6. Dec 11–13, 2026Workshops across the three citiesUpcoming

Checked against neurips.cc · last verified 15 Oct 2026

From the research hub

Landmark papers from NeurIPS

Nine of the 25 papers in the AIooze reading paths first appeared at NeurIPS.

  1. 02Krizhevsky, Sutskever, Hinton, 2012
  2. 06
    Sequence to Sequence Learning with Neural Networks

    Path 2 · Transformers and language models

    Sutskever, Vinyals, Le, 2014
  3. 08
    Attention Is All You Need

    Path 2 · Transformers and language models · Paper card

    Vaswani et al., 2017
  4. 10
    Language Models are Few-Shot Learners (GPT-3)

    Path 2 · Transformers and language models

    Brown et al., 2020
  5. 11Wei et al., 2022
  6. 13
    Generative Adversarial Nets

    Path 3 · Computer vision and generative models

    Goodfellow et al., 2014
  7. 14
    Denoising Diffusion Probabilistic Models

    Path 3 · Computer vision and generative models

    Ho, Jain, Abbeel, 2020
  8. 23
    Training Compute-Optimal Large Language Models (Chinchilla)

    Path 5 · Scaling, alignment and efficiency

    Hoffmann et al., 2022
  9. 24Ouyang et al., 2022

About this page

Dates come from the official NeurIPS site. After the conference ends, this page will carry a short recap and then roll forward to NeurIPS 2027. Always confirm details on the official site.

Official NeurIPS dates ↗