Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

30 May 2022

Jiachen T. Wang

Papers citing "Data Banzhaf: A Robust Data Valuation Framework for Machine Learning"

11 / 11 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 143 0 0 17 Feb 2025
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 44 2 0 02 Oct 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 40 0 0 09 Sep 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 45 1 0 17 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 43 0 0 03 Jun 2024
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 21 10 0 08 Dec 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 4 3 0 15 Oct 2023
Understanding Influence Functions and Datamodels via Harmonic Analysis Nikunj Saunshi Arushi Gupta M. Braverman Sanjeev Arora TDI 43 13 0 03 Oct 2022
Quantifying Inherent Randomness in Machine Learning Algorithms Soham Raste Rahul Singh J. Vaughan V. Nair 25 8 0 24 Jun 2022
Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning Tianhao Wang Yu Yang R. Jia TDI 29 8 0 13 Jul 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 97 105 0 24 Oct 2020