v1v2v3v4v5v6v7 (latest)

Data Banzhaf: A Robust Data Valuation Framework for Machine Learning

30 May 2022

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

27 / 27 papers shown

Title
DRIP: DRop unImportant data Points -- Enhancing Machine Learning Efficiency with Grad-CAM-Based Real-Time Data Prioritization for On-Device Training Marcus Rüb Daniel Konegen Patrick Selle Axel Sikora Daniel Mueller-Gritschneder 71 0 0 11 Apr 2025
SPEX: Scaling Feature Interaction Explanations for LLMs Justin Singh Kang Landon Butler Abhineet Agarwal Yigit Efe Erginbas Ramtin Pedarsani Kannan Ramchandran Bin Yu VLM LRM 154 2 0 20 Feb 2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 112 0 0 14 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 153 0 0 01 Feb 2025
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values Yurong Liu R. Teal Witter Flip Korn Tarfah Alrashed Dimitris Paparas Christopher Musco Juliana Freire FAtt 121 0 0 10 Oct 2024
Permissive Information-Flow Analysis for Large Language Models Shoaib Ahmed Siddiqui Radhika Gaonkar Boris Köpf David M. Krueger Andrew Paverd Ahmed Salem Shruti Tople Lukas Wutschitz Menglin Xia Santiago Zanella Béguelin 104 2 0 04 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 97 5 0 02 Oct 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 136 0 0 09 Sep 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 133 1 0 17 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 180 0 0 03 Jun 2024
A Note on "Towards Efficient Data Valuation Based on the Shapley Value'' Jiachen T. Wang R. Jia TDI 54 11 0 22 Feb 2023
Understanding Influence Functions and Datamodels via Harmonic Analysis Nikunj Saunshi Arushi Gupta M. Braverman Sanjeev Arora TDI 104 19 0 03 Oct 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc Aleksander Madry TDI 133 142 0 01 Feb 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay Xinyi Xu Chuan-Sheng Foo Bryan Kian Hsiang Low SyDa 57 32 0 17 Dec 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Zou TDI 93 133 0 26 Oct 2021
Improving Cooperative Game Theory-based Data Valuation via Data Utility Learning Tianhao Wang Yu Yang R. Jia TDI 117 12 0 13 Jul 2021
Randomness In Neural Network Training: Characterizing The Impact of Tooling Donglin Zhuang Xingyao Zhang Shuaiwen Leon Song Sara Hooker 64 78 0 22 Jun 2021
Data Shapley Valuation for Efficient Batch Active Learning Amirata Ghorbani James Zou A. Esteva TDI 39 37 0 16 Apr 2021
Methods to integrate multinormals and compute classification measures Abhranil Das W. Geisler 57 18 0 23 Dec 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 170 125 0 24 Oct 2020
Efficient computation and analysis of distributional Shapley values Yongchan Kwon Manuel A. Rivas James Zou FAtt TDI 138 62 0 02 Jul 2020
A Distributional Framework for Data Valuation Amirata Ghorbani Michael P. Kim James Zou TDI 52 132 0 27 Feb 2020
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan O. Arik Tomas Pfister TDI 86 181 0 25 Sep 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,138 0 19 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 219 2,910 0 14 Mar 2017
Randomized Smoothing for Stochastic Optimization John C. Duchi Peter L. Bartlett Martin J. Wainwright 113 288 0 22 Mar 2011