Summary
The International Conference on Machine Learning (ICML) accepted approximately 6,500 out of 24,000 submissions this year. This high rejection rate is expected to significantly increase the submission count for upcoming conferences like NeurIPS, perpetuating a cycle of high volume and low acceptance. The discussion also highlighted concerns about the quality and adequacy of peer reviews.
What happened
ICML recently announced its final decisions, accepting roughly 6,500 papers from a total of approximately 24,000 submissions. This acceptance rate, around 27%, means a large number of papers were rejected.
Key details
Rejected papers from ICML are anticipated to be resubmitted to other major conferences, such as NeurIPS, which is expected to further inflate their submission numbers. This creates a continuous cycle of high submission volumes and relatively low acceptance rates across top-tier machine learning conferences.
More context
Community discussions also brought attention to issues with the quality of peer reviews. Examples cited included reviews that were perceived as inadequate or overly critical for not including specific benchmarks, even if those benchmarks were not central to the paper's core contribution.
What to watch
Researchers and the academic community will be observing the submission numbers for upcoming conferences like NeurIPS to see the full impact of this cascade effect. The ongoing discussion around improving the quality and fairness of the peer-review process in high-volume academic publishing remains a critical area for the machine learning community.
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