Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing

11 November 2021

Papers citing "Full Characterization of Adaptively Strong Majority Voting in Crowdsourcing"

7 / 7 papers shown

Title
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models Sharon Zhou Mitchell L. Gordon Ranjay Krishna Austin Narcomey Li Fei-Fei Michael S. Bernstein VLM EGVM 35 121 0 01 Apr 2019
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations Ranjay Krishna Yuke Zhu Oliver Groth Justin Johnson Kenji Hata ... Yannis Kalantidis Li Li David A. Shamma Michael S. Bernstein Fei-Fei Li 215 5,743 0 23 Feb 2016
Embracing Error to Enable Rapid Crowdsourcing Ranjay Krishna Kenji Hata Stephanie Chen Joshua Kravitz David A. Shamma Li Fei-Fei Michael S. Bernstein LRM 83 91 0 14 Feb 2016
Achieving Budget-optimality with Adaptive Schemes in Crowdsourcing A. Khetan Sewoong Oh 51 74 0 10 Feb 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
Consistency of weighted majority votes D. Berend A. Kontorovich 79 37 0 02 Dec 2013
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems David R Karger Sewoong Oh Devavrat Shah 126 380 0 17 Oct 2011