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Improving group robustness under noisy labels using predictive
  uncertainty

Improving group robustness under noisy labels using predictive uncertainty

14 December 2022
Dongpin Oh
Dae Lee
Jeunghyun Byun
Bonggun Shin
    UQCV
ArXivPDFHTML

Papers citing "Improving group robustness under noisy labels using predictive uncertainty"

6 / 6 papers shown
Title
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest
  Neighbors Label Spreading
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading
Nathan Stromberg
Rohan Ayyagari
Sanmi Koyejo
Richard Nock
Lalitha Sankar
44
0
0
13 Jun 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan
Andrew Gordon Wilson
Qi Lei
43
5
0
05 Mar 2024
Robustness to Subpopulation Shift with Domain Label Noise via
  Regularized Annotation of Domains
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains
Nathan Stromberg
Rohan Ayyagari
Monica Welfert
Sanmi Koyejo
Richard Nock
Lalitha Sankar
18
3
0
16 Feb 2024
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
225
201
0
21 Oct 2021
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
149
370
0
09 May 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
310
497
0
05 Mar 2020
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