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ML research community faces submission overload without author limits

The machine learning research community faces challenges with a high volume of submissions, impacting review quality. Unlike other fields such as security or computer architecture, ML has not implemented limits on the number of submissions per author. This discussion explores the potential reasons behind this difference in practice and its effect on workload management and review standards within the ML field. AI

IMPACT Potential impact on research quality and review processes within the AI field.

RANK_REASON Discussion post questioning a community practice, not a direct announcement or event.

Read on r/MachineLearning →

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ML research community faces submission overload without author limits

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/alafaya101 ·

    Why doesn't the ML research community limit the number of submissions per author? [D]

    <!-- SC_OFF --><div class="md"><p>I am currently working across multiple research communities, and I've noticed that the ML community is struggling with a massive volume of submissions, which is affecting review quality (as we are seeing in the recent ARR cycles).</p> <p>I am won…