Best Rejected Papers

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OpenReview.net has been a mainstay of conference reviewing for some of the largest Machine Learning conferences for the past 7 years. As all reviewing and acceptance decisions are public, we can analyse the quality of peer review over time by linking open review papers to academic graphs like Semantic Scholar. Over the past 2-3 months I’ve done this linking process for ~40k papers, as well as compiling a complimentary dataset of ~400k structured review comments from the paper discussions. This blog post has a few preliminary pieces of analysis, including the “Best Rejected Papers” from some recent ML conferences (including ROBERTa (42k citations) and Improved Denoising Diffusion models, a very influential paper in diffusion modeling). Any feedback on the dataset/interesting further analysis is welcome!

Visit product View on Hacker NewsJul 23, 2025

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Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released

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65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

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