Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value

16 April 2023

Papers citing "Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value"

27 / 27 papers shown

Title
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 68 0 0 23 Mar 2025
LossVal: Efficient Data Valuation for Neural Networks Tim Wibiral Mohamed Karim Belaid Maximilian Rabus Ansgar Scherp TDI 92 0 0 05 Dec 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 102 0 0 01 Oct 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 53 0 0 09 Sep 2024
2D-OOB: Attributing Data Contribution through Joint Valuation Framework Yifan Sun Jingyan Shen Yongchan Kwon TDI 38 1 0 07 Aug 2024
TimeInf: Time Series Data Contribution via Influence Functions Yizi Zhang Jingyan Shen Xiaoxue Xiong Yongchan Kwon AI4TS TDI 19 0 0 21 Jul 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 48 1 0 17 Jun 2024
Data Shapley in One Training Run Jiachen T. Wang Prateek Mittal Dawn Song Ruoxi Jia TDI 27 7 0 16 Jun 2024
Is Data Valuation Learnable and Interpretable? Ou Wu Weiyao Zhu Mengyang Li TDI 32 1 0 03 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 51 0 0 03 Jun 2024
Scaling Laws for the Value of Individual Data Points in Machine Learning Ian Covert Wenlong Ji Tatsunori Hashimoto James Y. Zou TDI 37 8 0 30 May 2024
Data Valuation by Leveraging Global and Local Statistical Information Xiaoling Zhou Ou Wu Michael K. Ng Hao Jiang TDI 17 0 0 23 May 2024
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior Lorenzo Perini Maja R. Rudolph Sabrina Schmedding Chen Qiu 55 1 0 22 May 2024
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits Jiachen T. Wang Tianji Yang James Y. Zou Yongchan Kwon Ruoxi Jia TDI 31 9 0 06 May 2024
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs Feiyang Kang H. Just Yifan Sun Himanshu Jahagirdar Yuanzhi Zhang Rongxing Du Anit Kumar Sahu Ruoxi Jia 54 17 0 05 May 2024
Neural Dynamic Data Valuation Zhangyong Liang Huanhuan Gao Ji Zhang TDI 35 1 0 30 Apr 2024
Data Acquisition via Experimental Design for Decentralized Data Markets Charles Lu Baihe Huang Sai Praneeth Karimireddy Praneeth Vepakomma Michael I. Jordan Ramesh Raskar FedML OOD 23 0 0 20 Mar 2024
Interpretable Machine Learning for TabPFN David Rundel Julius Kobialka Constantin von Crailsheim Matthias Feurer Thomas Nagler David Rügamer AI4CE 27 3 0 16 Mar 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi Wei Jin Charu C. Aggarwal Yao Ma 42 3 0 02 Feb 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Y. Zou Tatsunori Hashimoto TDI 27 7 0 29 Jan 2024
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms Jiachen T. Wang Prateek Mittal Ruoxi Jia TDI 41 5 0 20 Jan 2024
Data Valuation and Detections in Federated Learning Wenqian Li Shuran Fu Fengrui Zhang Yan Pang FedML TDI 24 4 0 09 Nov 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 17 3 0 15 Oct 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models Yongchan Kwon Eric Wu K. Wu James Zou DiffM TDI 13 53 0 02 Oct 2023
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation Jiachen T. Wang Yuqing Zhu Yu-Xiang Wang R. Jia Prateek Mittal TDI 21 12 0 30 Aug 2023
OpenDataVal: a Unified Benchmark for Data Valuation Kevin Jiang Weixin Liang James Y. Zou Yongchan Kwon FedML 42 34 0 18 Jun 2023
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 109 123 0 24 Oct 2020