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Detecting Label Noise via Leave-One-Out Cross-Validation
v1v2 (latest)

Detecting Label Noise via Leave-One-Out Cross-Validation

21 March 2021
Yu-Hang Tang
Yuanran Zhu
W. A. Jong
ArXiv (abs)PDFHTML

Papers citing "Detecting Label Noise via Leave-One-Out Cross-Validation"

3 / 3 papers shown
Slight Corruption in Pre-training Data Makes Better Diffusion Models
Slight Corruption in Pre-training Data Makes Better Diffusion Models
Hao Chen
Yujin Han
Diganta Misra
Xiang Li
Kai Hu
Difan Zou
Masashi Sugiyama
Yongfeng Zhang
Bhiksha Raj
DiffM
341
12
0
30 May 2024
FPR Estimation for Fraud Detection in the Presence of Class-Conditional
  Label Noise
FPR Estimation for Fraud Detection in the Presence of Class-Conditional Label Noise
Justin Tittelfitz
187
0
0
04 Aug 2023
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularizationComputer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
1.1K
661
0
05 Mar 2020
1
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