Utility Theory of Synthetic Data Generation

17 May 2023

Papers citing "Utility Theory of Synthetic Data Generation"

5 / 5 papers shown

Title
Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications Elie Saad Mariem Besbes Marc Zolghadri Victor Czmil Claude Baron Vincent Bourgeois 26 0 0 02 May 2025
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction Tung Sum Thomas Kwok Chi-Hua Wang Guang Cheng LMTD 69 1 0 19 Mar 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 53 1 0 26 Feb 2025
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models Namjoon Suh Guang Cheng MedIm 22 12 0 14 Jan 2024
Downstream Datasets Make Surprisingly Good Pretraining Corpora Kundan Krishna Saurabh Garg Jeffrey P. Bigham Zachary Chase Lipton 38 30 0 28 Sep 2022