ICLR

ICLR on Beyond Market Intelligence: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on iclr 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 iclr, 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

ICLR numbered citations possible? [R]

Navigating citation formatting for ICLR submissions can be a critical detail. The instructions specify Author Year format, but a shift to numbered citations (without spaces) risks immediate desk rejection. While community experience on this is valuable, definitive guidance remains scarce. Submitting with a non-compliant format introduces unnecessary risk. For further context on navigating conference deadlines and related considerations, explore our article, "NeurIPS 2026 Author Notifications Close to ICLR Deadline." Prioritize adherence to the provided guidelines to ensure your submission’s review.

Machine Learning

NeurIPS 2026 Author Notifications Close to ICLR Deadline [D]

NeurIPS 2026 author notification deadlines—September 24th—are fast approaching, coinciding closely with the ICLR submission deadline. A common concern arises: are extended Area Chair and reviewer discussion phases typical? Many authors report frustration when rebuttals go unaddressed. Given this timing, researchers are strategically evaluating ICLR submissions as a contingency. As one example, our recent article, "Mathematical Experiments Are Becoming Abundant Through Human-Machine Teaming," explores related challenges in rigorous experimentation. Good luck navigating these crucial deadlines!

Machine Learning

TMLR Relevance and Prestige [D]

Acceptance to *TMLR* signifies a notable achievement in machine learning research. While *NeurIPS*, *ICLR*, and *ICML* consistently rank as the highest-tier AI conferences, *TMLR* (Transactions on Machine Learning Research) holds considerable prestige as a respected journal. It’s generally considered on par with *JMLR* (Journal of Machine Learning Research) in terms of rigor and impact. Securing publication in *TMLR* demonstrates a commitment to well-validated, theoretically sound work. For further insights into transparency in algorithmic ranking, explore our article on X’s open-sourcing of its ranking algorithm.

Machine Learning

I built an "honest" CS conference ranking: sorted by how good the trip is, not the CORE ranking [P]

Navigating the conference landscape just got smarter. Forget solely relying on CORE rankings – we’ve built HonestCSRankings.org to prioritize your overall experience. Mapping nearly 540 CORE-ranked conferences, this tool ranks venues based on real-world factors like weather, safety, cost, and city vibrancy. Discover the optimal destination for your next research trip, factoring in distance from home and even identifying “A*” conferences with less-than-ideal locations.

Machine Learning

A question on ICLR and NeurIPS deadlines, and OpenReview [D]

Navigating the complex conference submission landscape can be challenging, particularly with the recent uncertainty surrounding NeurIPS. Many are understandably confused by the sudden silence following initial reviews. Given that the ICLR abstract deadline precedes the NeurIPS results announcement, a critical question arises: can a submission be resubmitted to ICLR without triggering flags on OpenReview? We address this common concern and encourage users to explore the platform’s guidelines for clarity.