When Models Don't Collapse: On the Consistency of Iterative MLE

25 May 2025

Papers citing "When Models Don't Collapse: On the Consistency of Iterative MLE"

4 / 4 papers shown

Title
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 75 2 0 26 Feb 2025
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data Matthias Gerstgrasser Rylan Schaeffer Apratim Dey Rafael Rafailov Henry Sleight ... Andrey Gromov Daniel A. Roberts Diyi Yang D. Donoho Oluwasanmi Koyejo 73 61 0 01 Apr 2024
Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu Sen Zhang Yingjie Wang Xinmei Tian Dacheng Tao 66 11 0 19 Feb 2024
Nepotistically Trained Generative-AI Models Collapse Matyáš Boháček Hany Farid 72 19 0 20 Nov 2023