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Achieving Budget-optimality with Adaptive Schemes in Crowdsourcing
10 February 2016
A. Khetan
Sewoong Oh
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Papers citing
"Achieving Budget-optimality with Adaptive Schemes in Crowdsourcing"
30 / 30 papers shown
Minority Reports: Balancing Cost and Quality in Ground Truth Data Annotation
Hsuan Wei Liao
Christopher Klugmann
Daniel Kondermann
Rafid Mahmood
311
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0
12 Apr 2025
A Task-Interdependency Model of Complex Collaboration Towards Human-Centered Crowd Work
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2023
David T. Lee
C. A. Makridis
HAI
336
0
0
31 Aug 2023
Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations
International Conference on Human Factors in Computing Systems (CHI), 2023
Rickard Stureborg
Bhuwan Dhingra
Jun Yang
189
9
0
06 Feb 2023
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing
International Conference on Machine Learning (ICML), 2022
Hyeonsu Jeong
Hye Won Chung
381
2
0
29 Dec 2022
Unsupervised Crowdsourcing with Accuracy and Cost Guarantees
International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2022
Yash Didwania
Jayakrishnan Nair
N. Hemachandra
212
2
0
05 Jul 2022
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Doyeon Kim
Jeonghwa Lee
Hye Won Chung
395
6
0
19 Nov 2021
Theoretical Foundations of δ-margin Majority Voting
International Conference on Climate Informatics (ICCI), 2021
M. Boyarskaya
Panagiotis G. Ipeirotis
262
1
0
11 Nov 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget
Derek Chen
Zhou Yu
Samuel R. Bowman
310
16
0
15 Oct 2021
Corruption Robust Active Learning
Neural Information Processing Systems (NeurIPS), 2021
Yifang Chen
S. Du
Kevin Jamieson
206
5
0
21 Jun 2021
Semi-verified PAC Learning from the Crowd
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Shiwei Zeng
Jie Shen
342
4
0
13 Jun 2021
Learning from Crowds by Modeling Common Confusions
AAAI Conference on Artificial Intelligence (AAAI), 2020
Zhendong Chu
Jing Ma
Hongning Wang
NoLa
301
60
0
24 Dec 2020
Efficient PAC Learning from the Crowd with Pairwise Comparisons
International Conference on Machine Learning (ICML), 2020
Shiwei Zeng
Jie Shen
559
8
0
02 Nov 2020
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Hanlu Wu
Tengfei Ma
Lingfei Wu
S. Ji
FedML
328
11
0
25 Oct 2020
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
Neural Information Processing Systems (NeurIPS), 2020
Qianqian Ma
Alexander Olshevsky
283
42
0
23 Oct 2020
Optimal Clustering from Noisy Binary Feedback
Machine-mediated learning (ML), 2019
Kaito Ariu
Jungseul Ok
Alexandre Proutiere
Se-Young Yun
252
3
0
14 Oct 2019
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
Neural Information Processing Systems (NeurIPS), 2019
Yunhui Long
Wei Ping
Zhuolin Yang
B. Kailkhura
Aston Zhang
C.A. Gunter
Yue Liu
347
90
0
21 Jun 2019
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
International Conference on Learning Representations (ICLR), 2019
Peng Cao
Yilun Xu
Yuqing Kong
Yizhou Wang
235
64
0
31 May 2019
Labeler-hot Detection of EEG Epileptic Transients
Lukasz Czekaj
Wojciech Ziembla
P. Jezierski
Pawel Swiniarski
A. Kolodziejak
P. Ogniewski
P. Niedbalski
Anna Jezierska
Daniel Wȩsierski
150
2
0
11 Mar 2019
BUOCA: Budget-Optimized Crowd Worker Allocation
M. Sameki
Sha Lai
Kate K. Mays
Lei Guo
Prakash Ishwar
Margrit Betke
184
3
0
11 Jan 2019
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities
Qiyu Kang
Wee Peng Tay
264
21
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
173
3
0
13 Mar 2018
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
Vaibhav Sinha
Sukrut Rao
V. Balasubramanian
281
34
0
07 Mar 2018
Learning From Noisy Singly-labeled Data
A. Khetan
Zachary Chase Lipton
Anima Anandkumar
NoLa
263
169
0
13 Dec 2017
Sequential Multi-Class Labeling in Crowdsourcing
Qiyu Kang
Wee Peng Tay
178
15
0
06 Nov 2017
Device Placement Optimization with Reinforcement Learning
International Conference on Machine Learning (ICML), 2017
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
385
485
0
13 Jun 2017
Reducing Crowdsourcing to Graphon Estimation, Statistically
Devavrat Shah
Christina E. Lee
435
24
0
23 Mar 2017
Iterative Bayesian Learning for Crowdsourced Regression
Jungseul Ok
Sewoong Oh
Yunhun Jang
Jinwoo Shin
Yung Yi
238
3
0
28 Feb 2017
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2016
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
FedML
373
47
0
30 Jun 2016
Optimal Inference in Crowdsourced Classification via Belief Propagation
Jungseul Ok
Sewoong Oh
Jinwoo Shin
Yung Yi
351
1
0
11 Feb 2016
Selecting the top-quality item through crowd scoring
A. Nordio
A. Tarable
Emilio Leonardi
M. Marsan
180
1
0
23 Dec 2015
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