GradNorm selects positive nouns via gradient magnitudes from cross-entropy loss, with an error bound proving it subsumes prior CLIP methods and delivers SOTA clustering results.
Robust estimation of a location parameter
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On the Provable Importance of Gradients for Language-Assisted Image Clustering
GradNorm selects positive nouns via gradient magnitudes from cross-entropy loss, with an error bound proving it subsumes prior CLIP methods and delivers SOTA clustering results.