Towards Efficient Data Valuation Based on the Shapley Value

27 February 2019

Papers citing "Towards Efficient Data Valuation Based on the Shapley Value"

50 / 87 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 23 0 0 11 Apr 2025
Optimizing Product Provenance Verification using Data Valuation Methods Raquib Bin Yousuf H. Just Shengzhe Xu Brian Mayer Victor Deklerck ... J. Simeone Jade Saunders Chang-Tien Lu Ruoxi Jia Naren Ramakrishnan 53 0 0 21 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 130 2 0 21 Feb 2025
LiveVal: Time-aware Data Valuation via Adaptive Reference Points Jie Xu Zihan Wu Cong Wang Xiaohua Jia AI4TS 55 0 0 14 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 48 0 0 09 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 70 0 0 01 Feb 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 69 0 0 21 Jan 2025
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu Pingbang Hu Han Zhao Jiaqi W. Ma TDI 142 2 0 10 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 96 12 0 31 Dec 2024
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 105 0 0 02 Dec 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models Jinxu Lin Linwei Tao Minjing Dong Chang Xu TDI 46 2 0 24 Oct 2024
Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Stelios Triantafyllou A. Sukovic Yasaman Zolfimoselo Goran Radanović CML 40 0 0 16 Oct 2024
$$\texttt{dattri}$: A Library for Efficient Data Attribution$ $\texttt{dattri}$ : A Library for Efficient Data Attribution Junwei Deng Ting-Wei Li Shiyuan Zhang Shixuan Liu Yijun Pan Hao Huang Xinhe Wang Pingbang Hu Xingjian Zhang Jiaqi W. Ma TDI 42 3 0 06 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 35 0 0 04 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 43 1 0 04 Oct 2024
Provably Accurate Shapley Value Estimation via Leverage Score Sampling Christopher Musco R. Teal Witter FAtt FedML TDI 55 2 0 02 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 135 0 0 01 Oct 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 68 0 0 09 Sep 2024
Data Debugging is NP-hard for Classifiers Trained with SGD Zizheng Guo Pengyu Chen Yanzhang Fu Xuelong Li 28 0 0 02 Aug 2024
Uncertainty Quantification of Data Shapley via Statistical Inference Mengmeng Wu Zhihong Liu Xiang Li Ruoxi Jia Xiangyu Chang TDI 40 1 0 28 Jul 2024
Data Shapley in One Training Run Jiachen T. Wang Prateek Mittal Dawn Song Ruoxi Jia TDI 50 7 0 16 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 69 0 0 03 Jun 2024
Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan Samar Fares Toluwani Aremu Samuel Horváth Karthik Nandakumar FedML 41 5 0 01 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 60 2 0 31 May 2024
Efficient Ensembles Improve Training Data Attribution Junwei Deng Ting-Wei Li Shichang Zhang Jiaqi Ma TDI 35 2 0 27 May 2024
Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning Meiying Zhang Huan Zhao Sheldon C Ebron Kan Yang FedML 16 2 0 06 Feb 2024
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach Qiqing Wang Kaidi Yang FedML 47 8 0 22 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 52 2 0 07 Dec 2023
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning Jiajun Cui Minghe Yu Bo Jiang Aimin Zhou Jianyong Wang Wei Zhang 42 3 0 01 Dec 2023
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 42 10 0 17 Nov 2023
Causative Cyberattacks on Online Learning-based Automated Demand Response Systems Samrat Acharya Y. Dvorkin Ramesh Karri 20 12 0 27 Jul 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 61 10 0 05 Jul 2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation Felipe Garrido-Lucero Benjamin Heymann Maxime Vono P. Loiseau Vianney Perchet FedML TDI 47 3 0 03 Jun 2023
Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation Shashi Raj Pandey Van-Phuc Bui P. Popovski FedML 29 4 0 19 May 2023
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation Yuxin Ren Zi-Qi Zhong Xingjian Shi Yi Zhu Chun Yuan Mu Li 27 7 0 16 May 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 46 12 0 14 May 2023
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training Dmitrii Usynin Daniel Rueckert Georgios Kaissis FedML 28 2 0 04 May 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value Yongchan Kwon James Zou TDI FedML 39 35 0 16 Apr 2023
Synthetic Sample Selection for Generalized Zero-Shot Learning Shreyank N. Gowda 30 16 0 06 Apr 2023
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation Lu Chen Siyu Lou Keyan Zhang Jin Huang Quanshi Zhang TDI FAtt 29 9 0 04 Apr 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 42 6 0 22 Mar 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Singh Kang Ramtin Pedarsani Kannan Ramchandran FedML 29 5 0 30 Jan 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 33 9 0 29 Jan 2023
IPProtect: protecting the intellectual property of visual datasets during data valuation Gursimran Singh Chendi Wang Ahnaf Tazwar Lanjun Wang Yong Zhang 22 0 0 22 Dec 2022
Probably Approximate Shapley Fairness with Applications in Machine Learning Zijian Zhou Xinyi Xu Rachael Hwee Ling Sim Chuan-Sheng Foo K. H. Low TDI 22 9 0 01 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 55 10 0 01 Dec 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification S. Schoch Haifeng Xu Yangfeng Ji TDI 23 24 0 13 Nov 2022
Private Data Valuation and Fair Payment in Data Marketplaces Zhihua Tian Jian-wei Liu Jia-Nan Li Xinle Cao R. Jia Jun Kong Mengdi Liu Kui Ren TDI 23 12 0 17 Oct 2022
Efficient Medical Image Assessment via Self-supervised Learning Chun-Yin Huang Qi Lei Xiaoxiao Li 28 2 0 28 Sep 2022
FedToken: Tokenized Incentives for Data Contribution in Federated Learning Shashi Raj Pandey L. Nguyen P. Popovski FedML 35 11 0 20 Sep 2022