Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1602.03481
Cited By
v1
v2
v3 (latest)
Achieving Budget-optimality with Adaptive Schemes in Crowdsourcing
10 February 2016
A. Khetan
Sewoong Oh
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Achieving Budget-optimality with Adaptive Schemes in Crowdsourcing"
21 / 21 papers shown
Title
A Task-Interdependency Model of Complex Collaboration Towards Human-Centered Crowd Work
David T. Lee
C. A. Makridis
HAI
74
0
0
31 Aug 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
Hyeonsu Jeong
Hye Won Chung
56
2
0
29 Dec 2022
Unsupervised Crowdsourcing with Accuracy and Cost Guarantees
Yash Didwania
Jayakrishnan Nair
N. Hemachandra
46
1
0
05 Jul 2022
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
Doyeon Kim
Jeonghwa Lee
Hye Won Chung
90
3
0
19 Nov 2021
Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing
M. Boyarskaya
Panagiotis G. Ipeirotis
28
0
0
11 Nov 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget
Derek Chen
Zhou Yu
Samuel R. Bowman
79
13
0
15 Oct 2021
Semi-verified PAC Learning from the Crowd
Shiwei Zeng
Jie Shen
67
3
0
13 Jun 2021
Learning from Crowds by Modeling Common Confusions
Zhendong Chu
Jing Ma
Hongning Wang
NoLa
78
48
0
24 Dec 2020
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
Hanlu Wu
Tengfei Ma
Lingfei Wu
S. Ji
FedML
59
11
0
25 Oct 2020
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
Qianqian Ma
Alexander Olshevsky
84
32
0
23 Oct 2020
Optimal Clustering from Noisy Binary Feedback
Kaito Ariu
Jungseul Ok
Alexandre Proutiere
Se-Young Yun
52
2
0
14 Oct 2019
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
Yunhui Long
Wei Ping
Zhuolin Yang
B. Kailkhura
Aston Zhang
C.A. Gunter
Yue Liu
122
74
0
21 Jun 2019
BUOCA: Budget-Optimized Crowd Worker Allocation
M. Sameki
Sha Lai
Kate K. Mays
Lei Guo
Prakash Ishwar
Margrit Betke
40
3
0
11 Jan 2019
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities
Qiyu Kang
Wee Peng Tay
124
18
0
27 Jul 2018
Dense Limit of the Dawid-Skene Model for Crowdsourcing and Regions of Sub-optimality of Message Passing Algorithms
Christiane Schmidt
Lenka Zdeborová
25
3
0
13 Mar 2018
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
Vaibhav Sinha
Sukrut Rao
V. Balasubramanian
70
29
0
07 Mar 2018
Learning From Noisy Singly-labeled Data
A. Khetan
Zachary Chase Lipton
Anima Anandkumar
NoLa
75
162
0
13 Dec 2017
Sequential Multi-Class Labeling in Crowdsourcing
Qiyu Kang
Wee Peng Tay
42
14
0
06 Nov 2017
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
93
445
0
13 Jun 2017
Iterative Bayesian Learning for Crowdsourced Regression
Jungseul Ok
Sewoong Oh
Yunhun Jang
Jinwoo Shin
Yung Yi
76
3
0
28 Feb 2017
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
FedML
92
44
0
30 Jun 2016
1