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whats-in-a-name
[WIP] probing identity and bias in text to image models
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#4
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dmarx
opened
11 months ago
dmarx
commented
11 months ago
Same data, different size models
how does it impact attribute diversity wrt identitites? expect:
attribute-level variance to go down
identitites that are overfitted in smaller models to function better in larger models
same topology, different datasets
different datasets will have different identitites (and distributions over the ones that are shared)
how do learned biases correspond to biases in the data? anything unexpected? (beware vast search effect)
dmarx
commented
11 months ago
SigLIP -
https://twitter.com/giffmana/status/1707327106143633771