Optimal Sub-sampling with Influence Functions

6 September 2017

Papers citing "Optimal Sub-sampling with Influence Functions"

12 / 12 papers shown

Title
Backbone Augmented Training for Adaptations Jae Wan Park Junhyeok Kim Youngjun Jun Hyunah Ko Seong Jae Hwang 22 0 0 04 Jun 2025
A Coreset Learning Reality Check Fred Lu Edward Raff James Holt 60 5 0 15 Jan 2023
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling Jing Wang Jiahui Zou Haiying Wang 73 18 0 17 May 2022
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Zou TDI 99 135 0 26 Oct 2021
Understanding Instance-based Interpretability of Variational Auto-Encoders Zhifeng Kong Kamalika Chaudhuri TDI 88 28 0 29 May 2021
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing Haoyang Bi Haiping Ma Zhenya Huang Yu Yin Qi Liu Enhong Chen Yu Su Shijin Wang 88 41 0 15 Jan 2021
Data Appraisal Without Data Sharing Mimee Xu Laurens van der Maaten Awni Y. Hannun TDI 103 6 0 11 Dec 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 135 140 0 07 Jul 2020
RelatIF: Identifying Explanatory Training Examples via Relative Influence Elnaz Barshan Marc-Etienne Brunet Gintare Karolina Dziugaite TDI 138 30 0 25 Mar 2020
Optimal Sampling for Generalized Linear Models under Measurement Constraints Tao Zhang Y. Ning D. Ruppert 57 32 0 17 Jul 2019
Efficient posterior sampling for high-dimensional imbalanced logistic regression Deborshee Sen Matthias Sachs Jianfeng Lu David B. Dunson 111 13 0 27 May 2019
Efficient Augmentation via Data Subsampling Michael Kuchnik Virginia Smith 120 22 0 11 Oct 2018