Representation Selection via Cross-Model Agreement using Canonical Correlation Analysis
Representation Selection via Cross-Model Agreement using Canonical Correlation Analysis explores A training-free method using Canonical Correlation Analysis to select and reduce dimensionality of image representations, improving downstream performance.. Commercial viability score: 6/10 in Representation Learning.
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