Add influence function approximation comparison

aai-institute / pyDVL

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

https://pydvl.org

GNU Lesser General Public License v3.0

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Add influence function approximation comparison #501

Open schroedk opened 4 months ago

schroedk commented 4 months ago

In order to get a better overview about the implemented influence function approximation methods and when to choose which, we should add a comparison page to the documentation.

The page should contain information about:

Computational complexity
Memory constraints
Scalability