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2025 ICML ICML 2025

Improving the Scaling Laws of Synthetic Data with Deliberate Practice

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Reyhane Askari-Hemmat, Mohammad Pezeshki, Elvis DOHMATOB, Florian Bordes, Pietro Astolfi, Melissa Hall, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

Topics

Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Application Areas > Efficient Computing Deep Learning > Models > Generative Models

Keywords

sample efficiency synthetic data scaling law pruning iteration deliberate practice
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