"Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?" accepted at CVPR 2021

The following paper has been accepted at the Conference on Computer Vision and Pattern Recognition (external page CVPR 2021).

"Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?" by Ruoxi Jia (Virginia Tech), Fan Wu ( UIUC), Xuehui Sun ( SJTU), Jiacen Xu ( UC Irvine),  David Dao (ETH Zurich),  Bhavya Kailkhura (Lawrence Livermore National Laboratory), Ce Zhang (ETH Zurich), Bo Li (UIUC), Dawn Song (UC Berkeley).