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Data Valuation using Reinforcement Learning

Data Valuation using Reinforcement Learning

25 September 2019
Jinsung Yoon
Sercan Ö. Arik
Tomas Pfister
    TDI
ArXivPDFHTML

Papers citing "Data Valuation using Reinforcement Learning"

40 / 90 papers shown
Title
Fairness-Aware Data Valuation for Supervised Learning
Fairness-Aware Data Valuation for Supervised Learning
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
TDI
43
3
0
29 Mar 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Haoyu He
Jianfei Cai
Jing Zhang
Dacheng Tao
Bohan Zhuang
VPVLM
22
50
0
15 Mar 2023
Identifying Semantically Difficult Samples to Improve Text
  Classification
Identifying Semantically Difficult Samples to Improve Text Classification
Shashank Mujumdar
S. Mehta
Hima Patel
Suman Mitra
20
0
0
13 Feb 2023
Learning to Select Pivotal Samples for Meta Re-weighting
Learning to Select Pivotal Samples for Meta Re-weighting
Yinjun Wu
Adam Stein
Jacob R. Gardner
Mayur Naik
29
0
0
09 Feb 2023
Data Curation Alone Can Stabilize In-context Learning
Data Curation Alone Can Stabilize In-context Learning
Ting-Yun Chang
Robin Jia
27
51
0
20 Dec 2022
BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced
  Enterprise Data Sharing
BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing
L. Nguyen
James Hoang
Qin Wang
Qinghua Lu
Sherry Xu
Shiping Chen
FedML
24
4
0
16 Dec 2022
Active learning using adaptable task-based prioritisation
Active learning using adaptable task-based prioritisation
Shaheer U. Saeed
João Ramalhinho
Mark A. Pinnock
Ziyi Shen
Yunguan Fu
...
D. Barratt
Stephen P. Pereira
Brian R. Davidson
Matthew J. Clarkson
Yipeng Hu
13
4
0
03 Dec 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in
  Classification
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
S. Schoch
Haifeng Xu
Yangfeng Ji
TDI
23
24
0
13 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of
  reliable machine learning systems
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems
Nabeel Seedat
F. Imrie
M. Schaar
32
12
0
09 Nov 2022
Active Learning Framework to Automate NetworkTraffic Classification
Active Learning Framework to Automate NetworkTraffic Classification
Jaroslav Pesek
Dominik Soukup
T. Čejka
45
1
0
26 Oct 2022
Learning the Network of Graphs for Graph Neural Networks
Learning the Network of Graphs for Graph Neural Networks
Yixiang Shan
Jielong Yang
Xing Liu
Yixing Gao
Hechang Chen
S. Ge
14
0
0
08 Oct 2022
Exploiting and Guiding User Interaction in Interactive Machine Teaching
Exploiting and Guiding User Interaction in Interactive Machine Teaching
Zhongyi Zhou
28
0
0
06 Sep 2022
Learn2Augment: Learning to Composite Videos for Data Augmentation in
  Action Recognition
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition
Shreyank N. Gowda
Marcus Rohrbach
Frank Keller
Laura Sevilla-Lara
25
34
0
09 Jun 2022
Differentially Private Shapley Values for Data Evaluation
Differentially Private Shapley Values for Data Evaluation
Lauren Watson
R. Andreeva
Hao Yang
Rik Sarkar
TDI
FAtt
FedML
18
6
0
01 Jun 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen T. Wang
R. Jia
FedML
TDI
54
94
0
30 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
39
36
0
20 May 2022
Data Valuation for Offline Reinforcement Learning
Data Valuation for Offline Reinforcement Learning
Amir Abolfazli
Gregory Palmer
D. Kudenko
OffRL
28
0
0
19 May 2022
Image quality assessment for machine learning tasks using
  meta-reinforcement learning
Image quality assessment for machine learning tasks using meta-reinforcement learning
Shaheer U. Saeed
Yunguan Fu
V. Stavrinides
Zachary Michael Cieman Baum
Qianye Yang
...
Richard E. Fan
G. Sonn
J. A. Noble
D. Barratt
Yipeng Hu
29
36
0
27 Mar 2022
CheckSel: Efficient and Accurate Data-valuation Through Online
  Checkpoint Selection
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection
Soumili Das
Manasvi Sagarkar
S. Bhattacharya
Sourangshu Bhattacharya
28
1
0
14 Mar 2022
Image quality assessment by overlapping task-specific and task-agnostic
  measures: application to prostate multiparametric MR images for cancer
  segmentation
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation
Shaheer U. Saeed
Wen Yan
Yunguan Fu
F. Giganti
Qianye Yang
...
Richard E. Fan
G. Sonn
M. Emberton
D. Barratt
Yipeng Hu
42
8
0
20 Feb 2022
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
Youngjune Lee
Oh Joon Kwon
Haejun Lee
Joonyoung Kim
Kangwook Lee
Kee-Eung Kim
14
9
0
07 Dec 2021
Towards Fairness-Aware Federated Learning
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
21
79
0
02 Nov 2021
Multitask Adaptation by Retrospective Exploration with Learned World
  Models
Multitask Adaptation by Retrospective Exploration with Learned World Models
Artem Zholus
Aleksandr I. Panov
CLL
27
0
0
25 Oct 2021
Learning to Selectively Learn for Weakly-supervised Paraphrase
  Generation
Learning to Selectively Learn for Weakly-supervised Paraphrase Generation
Kaize Ding
Dingcheng Li
Alexander Hanbo Li
Xing Fan
Chenlei Guo
Yang Liu
Huan Liu
42
6
0
25 Sep 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning
Improving Fairness for Data Valuation in Horizontal Federated Learning
Zhenan Fan
Huang Fang
Zirui Zhou
Jian Pei
M. Friedlander
Changxin Liu
Yong Zhang
TDI
FedML
45
47
0
19 Sep 2021
Learning Fast Sample Re-weighting Without Reward Data
Learning Fast Sample Re-weighting Without Reward Data
Zizhao Zhang
Tomas Pfister
36
74
0
07 Sep 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
Adaptable image quality assessment using meta-reinforcement learning of
  task amenability
Adaptable image quality assessment using meta-reinforcement learning of task amenability
Shaheer U. Saeed
Yunguan Fu
V. Stavrinides
Zachary Michael Cieman Baum
Qianye Yang
...
Richard E. Fan
G. Sonn
J. A. Noble
D. Barratt
Yipeng Hu
22
10
0
31 Jul 2021
When does loss-based prioritization fail?
When does loss-based prioritization fail?
Nie Hu
Xinyu Hu
Rosanne Liu
Sara Hooker
J. Yosinski
333
8
0
16 Jul 2021
FedCCEA : A Practical Approach of Client Contribution Evaluation for
  Federated Learning
FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning
S. K. Shyn
Donghee Kim
Kwangsu Kim
FedML
14
22
0
04 Jun 2021
Understanding Instance-based Interpretability of Variational
  Auto-Encoders
Understanding Instance-based Interpretability of Variational Auto-Encoders
Zhifeng Kong
Kamalika Chaudhuri
TDI
16
27
0
29 May 2021
Finding High-Value Training Data Subset through Differentiable Convex
  Programming
Finding High-Value Training Data Subset through Differentiable Convex Programming
Soumik Das
Arshdeep Singh
Saptarshi Chatterjee
S. Bhattacharya
Sourangshu Bhattacharya
TDI
27
7
0
28 Apr 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
41
28
0
26 Feb 2021
Learning image quality assessment by reinforcing task amenable data
  selection
Learning image quality assessment by reinforcing task amenable data selection
Shaheer U. Saeed
Yunguan Fu
Zachary Michael Cieman Baum
Qianye Yang
M. Rusu
Richard E. Fan
G. Sonn
D. Barratt
Yipeng Hu
8
15
0
15 Feb 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep
  Neural Networks
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
Yuanyuan Chen
Boyang Albert Li
Han Yu
Pengcheng Wu
Chunyan Miao
TDI
27
39
0
04 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
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
117
123
0
24 Oct 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for
  Language Model Adaptation
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
Minki Kang
Moonsu Han
Sung Ju Hwang
OOD
25
17
0
06 Oct 2020
A Survey on Data Pricing: from Economics to Data Science
A Survey on Data Pricing: from Economics to Data Science
J. Pei
28
116
0
09 Sep 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
24
61
0
02 Jul 2020
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