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M. Narendra

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#machine learning May 2026

Discriminative Span as a Predictor of Synthetic Data Utility via Classifier Reconstruction

This work proposes a geometry-driven metric that predicts the utility of synthetic data without requiring model training and shows that this metric exhibits strong correlation with downstream classification performance of CNNs trained on mixtures of real negative and synthetic positive data.

Radhika Desai, M. Narendra · arXiv.org · 0 citations