ICML 2026 - Final Predictions on Average Score Needed Before Scores Come Out in 1 week? [D]
Authors await April 30th verdicts with average score thresholds still debated.
With the ICML 2026 author notification date set for April 30th, the machine learning community is buzzing with speculation about the exact average score threshold required for paper acceptance. A recent Reddit discussion highlights the anxiety and anticipation among researchers, who are comparing historical trends and current review dynamics to predict the cutoff. Typically, ICML accepts about 20-25% of submissions, with average scores often landing between 5 and 6 out of 10, depending on the distribution of reviews and the number of submissions.
This year’s predictions are particularly significant due to the rapid growth of AI research and the increasing competition for limited presentation slots at premier venues. The final score threshold will not only determine which papers are accepted but also set a benchmark for future submissions and influence researchers' strategies for targeting top conferences. As the deadline looms, the community remains focused on the implications for career advancement, funding, and the broader direction of machine learning innovation.
- ICML 2026 author notification is on April 30th.
- Acceptance rates historically range between 20-25%.
- Average score threshold likely between 5-6 out of 10.
Why It Matters
The threshold sets the bar for top ML research, influencing careers and future conference strategies.