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1904.02868
Cited By
Data Shapley: Equitable Valuation of Data for Machine Learning
5 April 2019
Amirata Ghorbani
James Zou
TDI
FedML
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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
Mingjie Li
Shaobo Wang
Quanshi Zhang
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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 Zou
TDI
39
122
0
26 Oct 2021
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
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
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
34
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
27
124
0
05 Sep 2021
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
Zicun Cong
Xuan Luo
J. Pei
Feida Zhu
Yong Zhang
28
46
0
18 Aug 2021
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)
Yinjun Wu
James Weimer
S. Davidson
23
4
0
19 Jul 2021
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
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
Weixin Liang
Kai-Hui Liang
Zhou Yu
36
15
0
01 Jun 2021
The
s
s
s
-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
Jie Zhao
Xinghua Zhu
Jianzong Wang
Jing Xiao
FedML
36
28
0
26 Feb 2021
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
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
59
33
0
06 Jan 2021
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
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
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
Balázs Pejó
G. Biczók
FedML
21
22
0
13 Jul 2020
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
Jie Ren
Mingjie Li
Zexu Liu
Quanshi Zhang
CoGe
16
18
0
29 Jun 2020
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
Weixin Liang
James Zou
Zhou Yu
ELM
34
33
0
21 May 2020
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
Elnaz Barshan
Marc-Etienne Brunet
Gintare Karolina Dziugaite
TDI
47
30
0
25 Mar 2020
Neuron Shapley: Discovering the Responsible Neurons
Amirata Ghorbani
James Zou
FAtt
TDI
25
108
0
23 Feb 2020
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
Satoshi Hara
Atsushi Nitanda
Takanori Maehara
TDI
31
68
0
20 Jun 2019
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