Training Data Influence Analysis and Estimation: A Survey

9 December 2022

Papers citing "Training Data Influence Analysis and Estimation: A Survey"

16 / 16 papers shown

Title
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 145 0 0 17 Feb 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 136 2 0 10 Jan 2025
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 36 2 0 24 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models Yaxin Du Rui Ye Fengting Yuchi W. Zhao Jingjing Qu Y. Wang Siheng Chen ALM FedML 45 0 0 15 Oct 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 31 0 0 14 Aug 2024
Understanding Multimodal Deep Neural Networks: A Concept Selection View Chenming Shang Hengyuan Zhang Hao Wen Yujiu Yang 33 5 0 13 Apr 2024
From Shapley Values to Generalized Additive Models and back Sebastian Bordt U. V. Luxburg FAtt TDI 51 33 0 08 Sep 2022
Quantifying Inherent Randomness in Machine Learning Algorithms Soham Raste Rahul Singh J. Vaughan V. Nair 35 8 0 24 Jun 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 44 94 0 30 May 2022
On Collective Robustness of Bagging Against Data Poisoning Ruoxin Chen Zenan Li Jie Li Chentao Wu Junchi Yan 40 23 0 26 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 139 106 0 19 May 2022
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 8 22 0 30 Apr 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
Finding High-Value Training Data Subset through Differentiable Convex Programming Soumik Das Arshdeep Singh Saptarshi Chatterjee S. Bhattacharya Sourangshu Bhattacharya TDI 20 7 0 28 Apr 2021
Influence Estimation for Generative Adversarial Networks Naoyuki Terashita Hiroki Ohashi Yuichi Nonaka T. Kanemaru TDI 20 12 0 20 Jan 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019