1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
Weixin Liang, Yining Mao, Yongchan Kwon +2
Understanding the performance of machine learning (ML) models across diverse data distributions is critically important for reliable applications. Despite recent empirical studies…
cs.CL2022★ 1 cited
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
Zhiying Zhu, Weixin Liang, James Zou
Helping end users comprehend the abstract distribution shifts can greatly facilitate AI deployment. Motivated by this, we propose a novel task, dataset explanation. Given two image…