GitHub - nacloos/similarity-repository
Contribute to nacloos/similarity-repository development by creating an account on GitHub.
Our package aims at being exhaustive. If your implementation is missing, checkout our GitHub to add your similarity measures!
GitHub: github.com/nacloos/simi...
Paper: openreview.net/forum?id=vyR...
Work with Robert Yang and Chris Cueva. (6/6)
09.12.2024 01:29 — 👍 0 🔁 0 💬 0 📌 0
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)
09.12.2024 01:29 — 👍 2 🔁 0 💬 1 📌 0
For example, we applied our procedure to derive a standardized naming convention unifying CKA measures. (4/6)
09.12.2024 01:29 — 👍 0 🔁 0 💬 1 📌 0
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)
09.12.2024 01:29 — 👍 0 🔁 0 💬 1 📌 0
The number of similarity measures keeps growing and comparisons across studies become more and more challenging, mainly due to differences in naming and implementation conventions. (2/6)
09.12.2024 01:29 — 👍 0 🔁 0 💬 1 📌 0
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)
09.12.2024 01:29 — 👍 4 🔁 3 💬 1 📌 0
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Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
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RL & Meta-Learning @ DeepMind.
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Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
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Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
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