A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness

30 June 2016

Papers citing "A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness"

9 / 9 papers shown

Title
How to Shrink Confidence Sets for Many Equivalent Discrete Distributions? Odalric-Ambrym Maillard M. S. Talebi 31 0 0 22 Jul 2024
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing Hyeonsu Jeong Hye Won Chung 23 2 0 29 Dec 2022
Matching Map Recovery with an Unknown Number of Outliers A. Minasyan T. Galstyan Sona Hunanyan A. Dalalyan 43 2 0 24 Oct 2022
Modeling and Correcting Bias in Sequential Evaluation Jingyan Wang A. Pananjady 16 2 0 03 May 2022
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits Doyeon Kim Jeonghwa Lee Hye Won Chung 51 3 0 19 Nov 2021
Optimal detection of the feature matching map in presence of noise and outliers T. Galstyan A. Minasyan A. Dalalyan 54 9 0 13 Jun 2021
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion Qianqian Ma Alexander Olshevsky 13 32 0 23 Oct 2020
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations Cheng Mao A. Pananjady Martin J. Wainwright 18 13 0 25 Jun 2018
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings Jingyan Wang Nihar B. Shah 21 74 0 13 Jun 2018