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Beyond Class-Conditional Assumption: A Primary Attempt to Combat
  Instance-Dependent Label Noise

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

10 December 2020
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
    NoLa
ArXivPDFHTML

Papers citing "Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise"

7 / 7 papers shown
Title
Debiased Recommendation with Noisy Feedback
Debiased Recommendation with Noisy Feedback
Haoxuan Li
Chunyuan Zheng
Wenjie Wang
Hao Wang
Fuli Feng
Xiao-Hua Zhou
18
7
0
24 Jun 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
Junlin Hou
Jilan Xu
Rui Feng
Hao Chen
16
0
0
08 Apr 2024
Pseudo-label Correction for Instance-dependent Noise Using
  Teacher-student Framework
Pseudo-label Correction for Instance-dependent Noise Using Teacher-student Framework
Eugene Kim
NoLa
12
0
0
24 Nov 2023
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
11
0
0
04 Aug 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise
  Learning
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning
Jingfeng Zhang
Bo Song
Haohan Wang
Bo Han
Tongliang Liu
Lei Liu
Masashi Sugiyama
AAML
NoLa
17
13
0
28 May 2023
Bridging the Gap between Model Explanations in Partially Annotated
  Multi-label Classification
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
Youngwook Kim
Jae Myung Kim
Ji-Eun Jeong
Cordelia Schmid
Zeynep Akata
Jungwook Lee
8
7
0
04 Apr 2023
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
Yangdi Lu
Wenbo He
NoLa
12
38
0
02 May 2022
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