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Identify ambiguous tasks combining crowdsourced labels by weighting
  Areas Under the Margin
v1v2v3 (latest)

Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin

30 September 2022
Tanguy Lefort
Benjamin Charlier
Alexis Joly
Joseph Salmon
ArXiv (abs)PDFHTML

Papers citing "Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin"

20 / 20 papers shown
Title
Beyond neural scaling laws: beating power law scaling via data pruning
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher
Robert Geirhos
Shashank Shekhar
Surya Ganguli
Ari S. Morcos
97
444
0
29 Jun 2022
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
Aleksander Madry
TDI
131
142
0
01 Feb 2022
Deep Learning on a Data Diet: Finding Important Examples Early in
  Training
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul
Surya Ganguli
Gintare Karolina Dziugaite
121
461
0
15 Jul 2021
Learning from Crowds by Modeling Common Confusions
Learning from Crowds by Modeling Common Confusions
Zhendong Chu
Jing Ma
Hongning Wang
NoLa
45
48
0
24 Dec 2020
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
Qianqian Ma
Alexander Olshevsky
73
32
0
23 Oct 2020
A statistical theory of cold posteriors in deep neural networks
A statistical theory of cold posteriors in deep neural networks
Laurence Aitchison
UQCVBDL
66
70
0
13 Aug 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss
Tianyi Zhang
Ethan R. Elenberg
Kilian Q. Weinberger
NoLa
94
274
0
28 Jan 2020
Confident Learning: Estimating Uncertainty in Dataset Labels
Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
157
699
0
31 Oct 2019
Verified Uncertainty Calibration
Verified Uncertainty Calibration
Ananya Kumar
Percy Liang
Tengyu Ma
180
357
0
23 Sep 2019
Human uncertainty makes classification more robust
Human uncertainty makes classification more robust
Joshua C. Peterson
Ruairidh M. Battleday
Thomas Griffiths
Olga Russakovsky
OOD
64
306
0
19 Aug 2019
Deep Self-Learning From Noisy Labels
Deep Self-Learning From Noisy Labels
Jiangfan Han
Ping Luo
Xiaogang Wang
NoLa
69
282
0
06 Aug 2019
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
207
1,955
0
06 Jun 2019
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced
  Aggregation of Sparsely Interacting Workers
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
Yao Ma
Alexander Olshevsky
Venkatesh Saligrama
Csaba Szepesvári
59
25
0
25 Apr 2019
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment
  Classification
Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification
Vaibhav Sinha
Sukrut Rao
V. Balasubramanian
55
29
0
07 Mar 2018
Convolutional Neural Network Achieves Human-level Accuracy in Music
  Genre Classification
Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification
Mingwen Dong
36
37
0
27 Feb 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
301
9,811
0
25 Oct 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
299
5,871
0
14 Jun 2017
The Relative Performance of Ensemble Methods with Deep Convolutional
  Neural Networks for Image Classification
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Cheng Ju
Aurélien F. Bibaut
Mark van der Laan
UQCV
80
360
0
05 Apr 2017
Regularized Minimax Conditional Entropy for Crowdsourcing
Regularized Minimax Conditional Entropy for Crowdsourcing
Dengyong Zhou
Qiang Liu
John C. Platt
Christopher Meek
Nihar B. Shah
NoLa
54
71
0
25 Mar 2015
Minimax Optimal Convergence Rates for Estimating Ground Truth from
  Crowdsourced Labels
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels
Chao Gao
Dengyong Zhou
155
71
0
22 Oct 2013
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