AI RESEARCH
Representation Selection via Cross-Model Agreement using Canonical Correlation Analysis
arXiv CS.AI
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ArXi:2604.00921v1 Announce Type: cross Modern vision pipelines increasingly rely on pretrained image encoders whose representations are reused across tasks and models, yet these representations are often overcomplete and model-specific. We propose a simple