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ENTITY Distributional Matching for Vector Quantization: A Unified Theoretical and Empirical Framework

Distributional Matching for Vector Quantization: A Unified Theoretical and Empirical Framework

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  1. TOOL · CL_152083 ·

    New framework unifies vector quantization for improved visual representation learning

    Researchers have developed a new framework for vector quantization (VQ) that addresses common issues like training instability and codebook collapse. The proposed distributional matching framework aims to align the dist…