ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.02868
  4. Cited By
Data Shapley: Equitable Valuation of Data for Machine Learning

Data Shapley: Equitable Valuation of Data for Machine Learning

5 April 2019
Amirata Ghorbani
James Zou
    TDI
    FedML
ArXivPDFHTML

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

33 / 133 papers shown
Title
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li
Shaobo Wang
Quanshi Zhang
29
11
0
05 Nov 2021
Towards Fairness-Aware Federated Learning
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
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
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Yongchan Kwon
James Zou
TDI
39
122
0
26 Oct 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Lokesh Nagalapatti
Mahdi S. Hosseini
FedML
24
75
0
23 Oct 2021
RKHS-SHAP: Shapley Values for Kernel Methods
RKHS-SHAP: Shapley Values for Kernel Methods
Siu Lun Chau
Robert Hu
Javier I. González
Dino Sejdinovic
FAtt
26
15
0
18 Oct 2021
Data-Driven Methods for Balancing Fairness and Efficiency in
  Ride-Pooling
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
Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng
Marco Pavone
Sachin Katti
Sandeep P. Chinchali
A. Tang
34
10
0
29 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation
  in Federated Learning
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu
Yuanyuan Chen
Han Yu
Yang Liu
Li-zhen Cui
FedML
TDI
27
124
0
05 Sep 2021
Influence-guided Data Augmentation for Neural Tensor Completion
Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh
Sungchul Kim
Ryan A. Rossi
Srijan Kumar
28
10
0
23 Aug 2021
Data Pricing in Machine Learning Pipelines
Data Pricing in Machine Learning Pipelines
Zicun Cong
Xuan Luo
J. Pei
Feida Zhu
Yong Zhang
28
46
0
18 Aug 2021
Data Sharing Markets
Data Sharing Markets
M. Rasouli
Michael I. Jordan
FedML
15
20
0
19 Jul 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label
  Uncertainties (Technical Report)
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)
Yinjun Wu
James Weimer
S. Davidson
23
4
0
19 Jul 2021
Faithful Edge Federated Learning: Scalability and Privacy
Faithful Edge Federated Learning: Scalability and Privacy
Meng Zhang
Ermin Wei
R. Berry
FedML
26
44
0
30 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning
Jiahui Li
Kun Kuang
Baoxiang Wang
Furui Liu
Long Chen
Fei Wu
Jun Xiao
OffRL
17
60
0
01 Jun 2021
HERALD: An Annotation Efficient Method to Detect User Disengagement in
  Social Conversations
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations
Weixin Liang
Kai-Hui Liang
Zhou Yu
36
15
0
01 Jun 2021
The $s$-value: evaluating stability with respect to distributional
  shifts
The sss-value: evaluating stability with respect to distributional shifts
Suyash Gupta
Dominik Rothenhausler
36
16
0
07 May 2021
Efficient Client Contribution Evaluation for Horizontal Federated
  Learning
Efficient Client Contribution Evaluation for Horizontal Federated Learning
Jie Zhao
Xinghua Zhu
Jianzong Wang
Jing Xiao
FedML
36
28
0
26 Feb 2021
Estimating informativeness of samples with Smooth Unique Information
Estimating informativeness of samples with Smooth Unique Information
Hrayr Harutyunyan
Alessandro Achille
Giovanni Paolini
Orchid Majumder
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
27
24
0
17 Jan 2021
The Shapley Value of Classifiers in Ensemble Games
The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
59
33
0
06 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation
  and Debugging
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Han Guo
Nazneen Rajani
Peter Hase
Joey Tianyi Zhou
Caiming Xiong
TDI
41
102
0
31 Dec 2020
Data Appraisal Without Data Sharing
Data Appraisal Without Data Sharing
Mimee Xu
L. V. D. van der Maaten
Awni Y. Hannun
TDI
39
6
0
11 Dec 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
44
429
0
22 Sep 2020
Quality Inference in Federated Learning with Secure Aggregation
Quality Inference in Federated Learning with Secure Aggregation
Balázs Pejó
G. Biczók
FedML
21
22
0
13 Jul 2020
Efficient computation and analysis of distributional Shapley values
Efficient computation and analysis of distributional Shapley values
Yongchan Kwon
Manuel A. Rivas
James Zou
FAtt
TDI
19
61
0
02 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity
  from DNNs
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
16
18
0
29 Jun 2020
DeltaGrad: Rapid retraining of machine learning models
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu
Yan Sun
S. Davidson
MU
25
196
0
26 Jun 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for
  Automatic Dialog Evaluation
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
Weixin Liang
James Zou
Zhou Yu
ELM
34
33
0
21 May 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
36
30
0
02 May 2020
RelatIF: Identifying Explanatory Training Examples via Relative
  Influence
RelatIF: Identifying Explanatory Training Examples via Relative Influence
Elnaz Barshan
Marc-Etienne Brunet
Gintare Karolina Dziugaite
TDI
47
30
0
25 Mar 2020
Neuron Shapley: Discovering the Responsible Neurons
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Zou
FAtt
TDI
25
108
0
23 Feb 2020
Data Valuation using Reinforcement Learning
Data Valuation using Reinforcement Learning
Jinsung Yoon
Sercan Ö. Arik
Tomas Pfister
TDI
25
173
0
25 Sep 2019
Data Cleansing for Models Trained with SGD
Data Cleansing for Models Trained with SGD
Satoshi Hara
Atsushi Nitanda
Takanori Maehara
TDI
31
68
0
20 Jun 2019
Previous
123