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A Technical Survey on Statistical Modelling and Design Methods for
  Crowdsourcing Quality Control

A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control

5 December 2018
Yuan Jin
Mark J. Carman
Ye Zhu
Yong Xiang
ArXiv (abs)PDFHTML

Papers citing "A Technical Survey on Statistical Modelling and Design Methods for Crowdsourcing Quality Control"

28 / 28 papers shown
Title
Max-MIG: an Information Theoretic Approach for Joint Learning from
  Crowds
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
Peng Cao
Yilun Xu
Yuqing Kong
Yizhou Wang
37
55
0
31 May 2019
BCCNet: Bayesian classifier combination neural network
BCCNet: Bayesian classifier combination neural network
Olga Isupova
Yunpeng Li
Danil Kuzin
Stephen J. Roberts
Katherine J. Willis
S. Reece
43
7
0
29 Nov 2018
Unlearn What You Have Learned: Adaptive Crowd Teaching with
  Exponentially Decayed Memory Learners
Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners
Yao Zhou
A. R. Nelakurthi
Jingrui He
32
38
0
17 Apr 2018
Leveraging Crowdsourcing Data For Deep Active Learning - An Application:
  Learning Intents in Alexa
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa
Jie Yang
Thomas Drake
Andreas C. Damianou
Y. Maarek
FedML
44
63
0
12 Mar 2018
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to
  Worker Clustering Model
Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
Hideaki Imamura
Issei Sato
Masashi Sugiyama
53
25
0
13 Feb 2018
Quality Control in Crowdsourcing: A Survey of Quality Attributes,
  Assessment Techniques and Assurance Actions
Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques and Assurance Actions
F. Daniel
Pavel Kucherbaev
C. Cappiello
B. Benatallah
Mohammad Allahbakhsh
63
164
0
08 Jan 2018
Deep learning from crowds
Deep learning from crowds
Filipe Rodrigues
Francisco Câmara Pereira
FedMLNoLa
50
257
0
06 Sep 2017
Who Said What: Modeling Individual Labelers Improves Classification
Who Said What: Modeling Individual Labelers Improves Classification
M. Guan
Varun Gulshan
Andrew M. Dai
Geoffrey E. Hinton
NoLa
49
226
0
26 Mar 2017
Autoencoding Variational Inference For Topic Models
Autoencoding Variational Inference For Topic Models
Akash Srivastava
Charles Sutton
BDLDRL
152
564
0
04 Mar 2017
Crowdsourced Outcome Determination in Prediction Markets
Crowdsourced Outcome Determination in Prediction Markets
Rupert Freeman
Sébastien Lahaie
David M. Pennock
27
13
0
14 Dec 2016
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor
  Processes
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes
Kar Wai Lim
Wray Buntine
Changyou Chen
Lan Du
43
34
0
22 Sep 2016
Exact Exponent in Optimal Rates for Crowdsourcing
Exact Exponent in Optimal Rates for Crowdsourcing
Chao Gao
Yu Lu
Dengyong Zhou
FedML
270
49
0
25 May 2016
Learning to Incentivize: Eliciting Effort via Output Agreement
Learning to Incentivize: Eliciting Effort via Output Agreement
Yang Liu
Yiling Chen
28
53
0
17 Apr 2016
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing
  Systems
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems
M. Venanzi
J. Guiver
Pushmeet Kohli
N. Jennings
62
32
0
21 Oct 2015
Quizz: Targeted crowdsourcing with a billion (potential) users
Quizz: Targeted crowdsourcing with a billion (potential) users
Panagiotis G. Ipeirotis
E. Gabrilovich
59
160
0
02 Jun 2015
Regularized Minimax Conditional Entropy for Crowdsourcing
Regularized Minimax Conditional Entropy for Crowdsourcing
Dengyong Zhou
Qiang Liu
John C. Platt
Christopher Meek
Nihar B. Shah
NoLa
52
71
0
25 Mar 2015
Approval Voting and Incentives in Crowdsourcing
Approval Voting and Incentives in Crowdsourcing
Nihar B. Shah
Dengyong Zhou
Yuval Peres
50
72
0
19 Feb 2015
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah
Dengyong Zhou
FedML
76
108
0
06 Aug 2014
Bayesian Nonparametric Crowdsourcing
Bayesian Nonparametric Crowdsourcing
Pablo G. Moreno
Yee Whye Teh
Fernando Perez-Cruz
Antonio Artés-Rodríguez
86
59
0
18 Jul 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
Yuchen Zhang
Xi Chen
Dengyong Zhou
Michael I. Jordan
FedML
119
386
0
15 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Minimax Optimal Convergence Rates for Estimating Ground Truth from
  Crowdsourced Labels
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels
Chao Gao
Dengyong Zhou
107
71
0
22 Oct 2013
Inferring ground truth from multi-annotator ordinal data: a
  probabilistic approach
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach
Balaji Lakshminarayanan
Yee Whye Teh
80
35
0
30 Apr 2013
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical
  Model for Adaptive Crowdsourcing and Aptitude Testing
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach
T. Graepel
T. Minka
J. Guiver
142
210
0
27 Jun 2012
TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing
  Multiple Ratings
TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings
Chao Liu
Yi-Min Wang
59
55
0
18 Jun 2012
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
Edwin Simpson
Stephen J. Roberts
Ioannis Psorakis
Arfon M. Smith
88
146
0
08 Jun 2012
Crowdsourcing for Usability Testing
Crowdsourcing for Usability Testing
Di Liu
Matthew Lease
Rebecca Kuipers
R. Bias
57
118
0
07 Mar 2012
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems
David R Karger
Sewoong Oh
Devavrat Shah
128
380
0
17 Oct 2011
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