After the NeurIPS 2026 acceptance list and AAAI 2027 first‑stage rejection are announced on September 24, this guide maps out which major AI conferences—ICLR, WWW, CVPR, ACL, ICML, KDD and others—remain viable for resubmission, with timing, deadline nuances, and key precautions.
A massive reproducibility audit of all 168 ICML 2026 oral papers reveals that only a handful meet basic verification standards, with median reproducibility below 30% and rerunning costs soaring into thousands of dollars, exposing a gap between paper prestige and scientific reliability.
An AI‑driven review of 168 ICML 2026 oral papers reveals that only 105 could be fully reproduced, with a median replication cost of $8,900, many hidden flaws, and 903 blind‑spot issues that human reviewers missed, questioning the trustworthiness of top‑conference publications.
The article examines how the poster session at ICML has turned into a competitive showcase, highlighting creative tactics like T‑shirt displays, merch giveaways, hand‑drawn posters, and eye‑catching titles, while offering practical design advice amid a flood of over 6,000 submissions.
This article presents a curated list of thirteen recent research papers on generalist agents—covering visual memory, environment synthesis, value modeling, self‑verification, robustness benchmarks, high‑resolution video generation, long‑horizon world models, and alignment fine‑tuning—along with brief abstracts and links to the PDFs for the upcoming Meituan ICML'26 sharing sessions.
The article highlights Hulu’s award‑winning paper on a neural autoregressive approach to collaborative filtering, detailing its acceptance at ICML 2016, the authors’ expertise, and how the CF‑NADE model outperforms existing methods on major recommendation datasets.
