1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Model Collapse Demystified: The Case of Regression
Elvis Dohmatob, Yunzhen Feng, Julia Kempe
In the era of proliferation of large language and image generation models, the phenomenon of "model collapse" refers to the situation whereby as a model is trained recursively on d…
cs.LG2023
Embarassingly Simple Dataset Distillation
Yunzhen Feng, Ramakrishna Vedantam, Julia Kempe
Dataset distillation extracts a small set of synthetic training samples from a large dataset with the goal of achieving competitive performance on test data when trained on this sa…