Naming conventions with too few names led to consistency errors when comparing CKA implementations across papers.

We iteratively refined our naming convention to resolve inconsistencies while keeping low naming complexity. (5/6)

For example, we applied our procedure to derive a standardized naming convention unifying CKA measures. (4/6)

Standardization is challenging because the field keeps evolving. The ideal naming convention shouldn't be static but should flexibly evolve too!

We propose a package and a procedure as a step towards this goal. (3/6)

Update on our similarity-repository 🚨
More than 200 similarity measures across 32 papers are now registered!

We'll also be presenting our work as an oral at the @neuripsconf.bsky.social
@unireps.bsky.social
workshop! (1/6)