根據我的經驗,將一篇關於去中心化深度學習的論文提交到頂級會議上被接受是相當困難的。這個動機對許多審稿人來說並不熟悉,而標準的實驗設置並未考慮到你想要解決的問題。 因此,我非常高興看到像 @PluralisHQ 和 @PrimeIntellect 這樣的公司投入精力分享他們的成果並在主要會議上發表!在我看來,即使是準備提交也迫使你對實驗更加嚴謹,來自審稿人的外部反饋幫助你更清晰地表達論文的主旨。
Alexander Long
Alexander Long7月14日 08:24
For people not familiar with AI publishing; there are 3 main conferences every year. ICML, ICLR and NeurIPS. These are technical conferences and the equivalent of journals in other disciplines - they are the main publishing venue for AI. The competition to have papers at these conferences is now at a ridiculous level, getting papers accepted is very hard, and there is a lot of concern about the review process which is quite noisey at this point. A strong paper with no flaws has around a 50% chance of being accepted, and typically a paper is submitted with reviewer changes several times until it is accepted. Despite all that, papers in these venues remain the primary stamp of legitimacy in AI world, and are probably still the primary career metrics for ML researchers (although this is weakening imo as so much of the research in the frontier labs is unpublished). Main Track papers are significantly different to workshop papers. The main track has intense, serious peer review. Workshop papers are for preliminary work, that give some indication of an interesting result, but are either not complete or the result is not significant enough for main track. They are only required to be reviewed by the workshop reviewer pool and they don’t appear in proceedings. Many great papers have first shown up in workshops (e.g. grokking) - but workshop and main track papers are fundamentally different things, with a fundamentally different level of impact. The only two companies in decentralised AI that have main track papers this year are @PrimeIntellect and Pluralis.
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