Matching-based Data Valuation for Generative Model. (arXiv:2304.10701v1 [cs.CV])

Data valuation is critical in machine learning, as it helps enhance model
transparency and protect data properties. Existing data valuation methods have
primarily focused on discriminative models, neglecting deep generative models
that have recently gained considerable attention. Similar to discriminative
models, there is an urgent need to assess data contributions in deep generative
models as well. However, previous data valuation approaches mainly relied on
discriminative model performance metrics and required model retraining.
Consequently, they cannot be applied directly and efficiently …

arxiv attention data deep generative models diffusion generative generative adversarial networks generative models machine machine learning metrics networks performance transparency valuation