Data Shapley: Equitable Valuation of Data for Machine Learning

5 April 2019

Papers citing "Data Shapley: Equitable Valuation of Data for Machine Learning"

50 / 123 papers shown

Title
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Zifeng Wang Chufan Gao Cao Xiao Jimeng Sun LMTD 22 12 0 20 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 21 7 0 16 May 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 33 12 0 14 May 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value Yongchan Kwon James Y. Zou TDI FedML 31 35 0 16 Apr 2023
Towards hypergraph cognitive networks as feature-rich models of knowledge Salvatore Citraro S. Deyne Massimo Stella Giulio Rossetti 11 2 0 13 Apr 2023
Fairness-Aware Data Valuation for Supervised Learning José P. Pombal Pedro Saleiro Mário A. T. Figueiredo P. Bizarro TDI 40 3 0 29 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications Wei-Chih Tu Weijian Deng Tom Gedeon Liang Zheng 38 9 0 23 Mar 2023
In-context Example Selection with Influences Nguyen Tai Eric Wong 13 48 0 21 Feb 2023
Identifying Semantically Difficult Samples to Improve Text Classification Shashank Mujumdar S. Mehta Hima Patel Suman Mitra 15 0 0 13 Feb 2023
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 19 2 0 13 Feb 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Kang Ramtin Pedarsani K. Ramchandran FedML 21 5 0 30 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia Xuhong Li Lei Yu Jiang Bian Penghao Zhao Shupeng Li Haoyi Xiong Dejing Dou NoLa 24 5 0 19 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 18 9 0 01 Dec 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification S. Schoch Haifeng Xu Yangfeng Ji TDI 21 24 0 13 Nov 2022
Striving for data-model efficiency: Identifying data externalities on group performance Esther Rolf Ben Packer Alex Beutel Fernando Diaz TDI 22 2 0 11 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Influence Functions for Sequence Tagging Models Sarthak Jain Varun Manjunatha Byron C. Wallace A. Nenkova TDI 30 8 0 25 Oct 2022
Private Data Valuation and Fair Payment in Data Marketplaces Zhihua Tian Jian-wei Liu J. Li Xinle Cao R. Jia Jun Kong Mengdi Liu Kui Ren TDI 21 12 0 17 Oct 2022
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 33 26 0 17 Oct 2022
Efficient Medical Image Assessment via Self-supervised Learning Chun-Yin Huang Qi Lei Xiaoxiao Li 17 2 0 28 Sep 2022
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling Sourav Kumar A. Lakshminarayanan Ken Chang Feri Guretno Ivan Ho Mien Jayashree Kalpathy-Cramer Pavitra Krishnaswamy Praveer Singh FedML 34 7 0 12 Sep 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 18 89 0 29 Jun 2022
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot Ensemble G. Tahir C. K. Loo Zongying Liu AAML 19 0 0 12 Jun 2022
Attention Flows for General Transformers Niklas Metzger Christopher Hahn Julian Siber Frederik Schmitt Bernd Finkbeiner 34 0 0 30 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation Ljubomir Rokvic Panayiotis Danassis Sai Praneeth Karimireddy Boi Faltings TDI 25 1 0 23 May 2022
Financial Time Series Data Augmentation with Generative Adversarial Networks and Extended Intertemporal Return Plots Justin Hellermann Qinzhuan Qian Ankit Shah AI4TS 19 1 0 18 May 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games Lucas Agussurja Xinyi Xu K. H. Low FAtt 16 13 0 16 May 2022
AODisaggregation: toward global aerosol vertical profiles S. Bouabid D. Watson‐Parris Sofija Stefanović A. Nenes Dino Sejdinovic 24 0 0 06 May 2022
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 19 22 0 30 Apr 2022
Label-Free Explainability for Unsupervised Models Jonathan Crabbé M. Schaar FAtt MILM 19 22 0 03 Mar 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 17 69 0 02 Mar 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Y. Zou OOD 35 82 0 14 Feb 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 16 204 0 11 Feb 2022
A Unified Prediction Framework for Signal Maps Emmanouil Alimpertis A. Markopoulou C. Butts Evita Bakopoulou Konstantinos Psounis 13 3 0 08 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc A. Madry TDI 38 130 0 01 Feb 2022
Fair and efficient contribution valuation for vertical federated learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Yong Zhang TDI FedML 16 25 0 07 Jan 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay Xinyi Xu Chuan-Sheng Foo Bryan Kian Hsiang Low SyDa 22 32 0 17 Dec 2021
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data L. Nguyen Shashi Raj Pandey B. Soret A. Broering P. Popovski 34 20 0 06 Dec 2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning Vasisht Duddu S. Szyller Nadarajah Asokan 24 12 0 04 Dec 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 25 2 0 24 Nov 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 16 11 0 05 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
Explaining Latent Representations with a Corpus of Examples Jonathan Crabbé Zhaozhi Qian F. Imrie M. Schaar FAtt 16 37 0 28 Oct 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Y. Zou TDI 33 122 0 26 Oct 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning Lokesh Nagalapatti Mahdi S. Hosseini FedML 19 75 0 23 Oct 2021
RKHS-SHAP: Shapley Values for Kernel Methods Siu Lun Chau Robert Hu Javier I. González Dino Sejdinovic FAtt 17 15 0 18 Oct 2021
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling Naveen Raman Sanket Shah John P. Dickerson 9 17 0 07 Oct 2021
Data Sharing and Compression for Cooperative Networked Control Jiangnan Cheng Marco Pavone Sachin Katti Sandeep P. Chinchali A. Tang 26 10 0 29 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning Zelei Liu Yuanyuan Chen Han Yu Yang Liu Li-zhen Cui FedML TDI 13 124 0 05 Sep 2021