What is an average publication outcome for an ML PhD? [D]

I know publication count is not everything, and quality, contribution, advisor/lab culture, subfield, and luck all matter a lot. But to make the comparison easier, I’m curious about the publication-count side specifically.
For an ML PhD, what would you consider an average publication outcome by graduation?

For example, would something like 3–5 first-author papers at A/top-tier venues* be considered roughly average, or would that already be above average in ML?

By A*/top-tier, I’m thinking of venues such as NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, etc., depending on the subfield.

Important:
Again, I know paper count is a crude metric. I’m just trying to get a rough sense of what people in the field see as average, strong, or unusually strong.