ActiveLab: Active Learning with Re-Labeling by Multiple Annotators

27 January 2023

Papers citing "ActiveLab: Active Learning with Re-Labeling by Multiple Annotators"

5 / 5 papers shown

Title
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries Tao Wu Chuhao Zhou Yen Heng Wong Lin Gu Jianfei Yang 77 1 0 14 Dec 2024
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise Bidur Khanal Tianhong Dai Binod Bhattarai Cristian A. Linte NoLa 35 0 0 08 Jul 2024
Estimating label quality and errors in semantic segmentation data via any model Vedang Lad Jonas W. Mueller UQCV 26 5 0 11 Jul 2023
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 27 13 0 15 Oct 2021
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 84 605 0 13 Mar 2020