Neurips 2026

Neurips 2026 on Beyond Market Intelligence: a running collection of 7 stories we have gathered and hand-picked because they are worth your time. Every post here touches on neurips 2026 in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around neurips 2026, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.

Machine Learning

NeurIPS 2026 Acceptance Calculator [P]

Navigating NeurIPS submissions can feel daunting. To help demystify the process, we’ve developed a NeurIPS 2026 Acceptance Calculator [P], a small model estimating acceptance probability based on scores and a projected acceptance rate. Explore it here: https://levilingsch.github.io/neurips-acceptance-estimator/. This tool offers a practical way to assess your submission's potential. For researchers looking to bolster their writing skills alongside their technical contributions, our "Best ML papers to pick up writing skills [D]" article provides valuable guidance.

Machine Learning

Neurips 2026: Modified date on reviews [D]

Machine Learning

NeurIPS 2026 Main Track — Theory papers score tracking post Rebuttal [D]

Following the NeurIPS 2026 rebuttal period, a discussion has emerged regarding Theory paper score distributions. Early reports suggest scores may be trending lower across disciplines this year. To facilitate a clearer understanding of the landscape, authors are invited to share their scores (x/x/x), confidence levels (x/x/x), and whether scores shifted post-rebuttal, optionally specifying the broad area of research. One author reported a 4/4/4 score with 3/3/3 confidence.

Machine Learning

NeurIPS 2026 Concept & Feasibility Track [D]

Navigating the NeurIPS 2026 Concept & Feasibility (C&F) Track presents unique challenges, particularly regarding reviewer engagement. Initial submissions often receive praise for originality, yet concerns about experimental scope—a permissible outcome per track guidelines—can stall progress. A recent discussion highlights a concerning lack of reviewer response even after rebuttal, raising questions about the track’s visibility and author experiences. Explore insights from fellow researchers and a deeper analysis of post-rebuttal score distributions, as detailed in our "NeurIPS 2026 post-rebuttal score distribution poll."

Machine Learning

Neurips 2026: does every metareview recommend accept/reject? [D]

Navigating NeurIPS decisions can be perplexing. A recent discussion reveals a surprising trend: some metareviews already include an accept/reject recommendation—often a rejection. Your team’s experience, with a metareview expressing cautious optimism despite reviewer disengagement, highlights this complexity. While a strong rebuttal is crucial, the lack of engagement raises questions about future prospects. As explored in "No rebuttals from NeurIPS authors," reviewer responsiveness remains a significant challenge. Consider carefully whether continued hope aligns with the current situation.

Machine Learning

Neurips 2026 Main Track Theory Paper Tracker- Discussion Thread [D]

Navigating NeurIPS 2026 Main Track Theory paper reviews? This discussion thread explores initial review distributions, a topic often generating questions. One submitter reports a 4/3/3 score with corresponding confidence, noting a historical tendency for theory papers to receive more conservative initial evaluations. Given broader reports of potentially lower scores this cycle, the thread invites fellow theory paper authors to share their experiences—scores and confidence levels—to identify potential patterns. For further context on the review process, see our related article on "Editing NeurIPS Rebuttals."

Machine Learning

NeurIPS reviews coming in soon! [D]

NeurIPS reviews are anticipated to appear around July 22nd at 5:30 PM AoE, based on observations across social platforms. For those who submitted to NeurIPS 2026 – whether to workshops or the main/other tracks – we'd welcome your perspectives on the upcoming reviews. This period marks a critical juncture for researchers. Explore insights into model performance; for example, our recent article on "Schema," a harness achieving 99% on ARC-3, offers a relevant case study in pushing boundaries. Share your thoughts and prepare for the assessments!