CLIP and SigLIP similarity scores can be interpreted as log density ratios, enabling prompt-based importance weighting and KL-divergence-based data curation.
Differential Geometry of Curved Expo- nential Families-Curvatures and Information Loss.The An- nals of Statistics, 10(2):357 – 385, 1982
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
CLIP-like Model as a Foundational Density Ratio Estimator
CLIP and SigLIP similarity scores can be interpreted as log density ratios, enabling prompt-based importance weighting and KL-divergence-based data curation.