NeurIPS 2026 принял 102 воркшопа: конференция впервые пройдёт в трёх городах мира
NeurIPS 2026 объявил список принятых воркшопов: из 454 валидных заявок одобрено 102 — рекордный результат для конференции. Площадки — Сидней (48 воркшопов, 21,5% принятия), Париж (28, 25,4%) и Атланта (26). Число заявок в 2026 году значительно выросло по сравнению с прошлым годом.
AI-processed from NeurIPS Blog; edited by Hamidun News
The NeurIPS organizing committee announced the final list of workshops on August 10, 2026: out of 477 submitted applications (454 passed validation), 102 were accepted — significantly more than last year, which organizers call a record result.
Three Venues, 102 Research Tracks
NeurIPS 2026 is for the first time organizing workshops simultaneously in three cities on three continents. The accepted workshops are distributed as follows:
- Sydney (Australia) — 48 workshops, acceptance rate 21.5%
- Paris (France) — 28 workshops, acceptance rate 25.4%
- Atlanta (USA) — 26 workshops
- Total applications submitted: 477, of which valid: 454
- Total accepted: 102 workshops
According to the official NeurIPS blog, the growth in the number of applications compared to the previous year was significant. On average across the conference, approximately 22% of all valid applications were accepted — competition is roughly equal at all venues, although Paris showed a slightly higher acceptance rate.
Historically, NeurIPS has been held at a single venue — typically in Montreal or New Orleans. The transition to a three-parallel-city format in 2026 marks a qualitative change in the scale of the conference.
What NeurIPS Workshops Are and Why There Are So Many
NeurIPS — Conference on Neural Information Processing Systems — is among the most authoritative conferences in the field of machine learning and artificial intelligence. Every year, researchers from OpenAI, Google DeepMind, Anthropic, and Meta AI, as well as from leading universities around the world, gather here.
Workshops are a special format within the conference. Unlike the main talks, which undergo rigorous double-blind peer review, workshops allow discussion of research at early stages: it is a space for lively discussions, unfinished ideas, and the formation of new directions. Workshops cover highly specialized topics — from the interpretability of neural networks to the application of ML in climate sciences. This is where works are often first presented that, a year later, become key publications at NeurIPS or related conferences — ICML, ICLR.
"We are pleased to announce the list of
NeurIPS 2026 workshops," reads the official statement of the organizing committee, published in the NeurIPS blog on August 10, 2026.
A high competition rate — 21–25% acceptance — means that getting into the program is not easy at any of the venues. Each of the 102 accepted workshops represents a separate research track with its own talks, discussions, and participants.
Why Three Cities Instead of One
The three-city format reflects the real globalization of AI research. Sydney covers the academic and industrial community of the Asia-Pacific region, Paris — the European community, Atlanta — the North American community. For researchers from each of these regions, participation no longer requires a transcontinental flight and thousands of dollars in travel expenses.
Holding the event in parallel in three cities allows for fundamentally more workshops: 102 tracks could not fit at a single venue without serious logistical constraints. In essence, in 2026, NeurIPS transforms from a single event into a distributed global conference.
What This Means
The growth in the number of applications and the expansion of NeurIPS to three venues is an indicator that the academic AI community continues to accelerate. The three-venue format will likely become the standard for the largest AI conferences in the coming years: the scale of the industry no longer fits in one city. For researchers, 102 accepted workshops mean more opportunities to present early work, receive feedback, and find co-authors on three continents.
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