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Data Shapley: Equitable Valuation of Data for Machine Learning

Data Shapley: Equitable Valuation of Data for Machine Learning

5 April 2019
Amirata Ghorbani
James Y. Zou
    TDI
    FedML
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Papers citing "Data Shapley: Equitable Valuation of Data for Machine Learning"

23 / 123 papers shown
Title
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
20
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
26
46
0
18 Aug 2021
Data Sharing Markets
Data Sharing Markets
M. Rasouli
Michael I. Jordan
FedML
13
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
15
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
15
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
34
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
26
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
26
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
16
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
51
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
Mohit Bansal
Caiming Xiong
TDI
33
102
0
31 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
30
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
19
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 Y. 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
11
18
0
29 Jun 2020
DeltaGrad: Rapid retraining of machine learning models
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu
Edgar Dobriban
S. Davidson
MU
16
195
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 Y. Zou
Zhou Yu
ELM
28
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
28
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
29
30
0
25 Mar 2020
Neuron Shapley: Discovering the Responsible Neurons
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Y. 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
16
68
0
20 Jun 2019
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