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LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems

Chu Li
Zhihan Zhang
Michael Saugstad
Esteban Safranchik
Minchu Kulkarni
Xiaoyu Huang
Shwetak N. Patel
Vikram Iyer
Tim Althoff
Jon E. Froehlich
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Papers citing "LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems"

4 / 4 papers shown
Title
Transfer Learning with Deep Tabular Models
Transfer Learning with Deep Tabular Models
Roman Levin
Valeriia Cherepanova
Avi Schwarzschild
Arpit Bansal
C. Bayan Bruss
Tom Goldstein
A. Wilson
Micah Goldblum
OOD
FedML
LMTD
75
58
0
30 Jun 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function
Understanding Programmatic Weak Supervision via Source-aware Influence Function
Jieyu Zhang
Hong Wang
Cheng-Yu Hsieh
Alexander Ratner
TDI
40
9
0
25 May 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets
Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets
D. Chandler
A. Kapelner
98
419
0
03 Oct 2012