CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators

13 October 2022

Papers citing "CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators"

9 / 9 papers shown

Title
Minority Reports: Balancing Cost and Quality in Ground Truth Data Annotation Hsuan Wei Liao Christopher Klugmann Daniel Kondermann Rafid Mahmood 30 0 0 12 Apr 2025
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs Yifan Wang David Stevens Pranay Shah Wenwen Jiang Miao Liu ... Boying Gong Daniel Lee Jiabo Hu Ning Zhang Bob Kamma 30 1 0 16 Sep 2024
Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis Hu Wang David Butler Yuan Zhang Jodie C Avery Steven Knox Congbo Ma Louise Hull Gustavo Carneiro 18 2 0 03 Sep 2024
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations Zhi Qin Tan Olga Isupova Gustavo Carneiro Xiatian Zhu Yunpeng Li ObjD 30 0 0 10 Jul 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 38 0 0 09 Jul 2024
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 16 0 0 22 Nov 2023
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing Subhash Nerella Ziyuan Guan Scott Siegel Jiaqing Zhang Kia Khezeli A. Bihorac Parisa Rashidi 8 5 0 11 Mar 2023
ActiveLab: Active Learning with Re-Labeling by Multiple Annotators Hui Wen Goh Jonas W. Mueller 8 3 0 27 Jan 2023
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 84 598 0 13 Mar 2020