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Error-Bounded Correction of Noisy Labels

Error-Bounded Correction of Noisy Labels

19 November 2020
Songzhu Zheng
Pengxiang Wu
A. Goswami
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
    NoLa
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Papers citing "Error-Bounded Correction of Noisy Labels"

19 / 19 papers shown
Title
Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection
Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection
Shiman Zhang
Lakshmikar R. Polamreddy
Youshan Zhang
MedIm
DiffM
42
0
0
13 Jan 2025
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
Anita Eisenburger
Daniel Otten
Anselm Hudde
F. Hopfgartner
NoLa
50
1
0
13 Sep 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
52
1
0
17 Jun 2024
Relation Modeling and Distillation for Learning with Noisy Labels
Relation Modeling and Distillation for Learning with Noisy Labels
Xiaming Chen
Junlin Zhang
Zhuang Qi
Xin Qi
NoLa
32
0
0
30 May 2024
Learning with Noisy Labels: Interconnection of Two
  Expectation-Maximizations
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations
Heewon Kim
Hyun Sung Chang
Kiho Cho
Jaeyun Lee
Bohyung Han
NoLa
28
2
0
09 Jan 2024
Learning to Segment from Noisy Annotations: A Spatial Correction
  Approach
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
Jiacheng Yao
Yikai Zhang
Songzhu Zheng
Mayank Goswami
Prateek Prasanna
Chao Chen
41
15
0
21 Jul 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
32
14
0
28 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
Qin Liu
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
37
22
0
24 May 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via
  Complementary Learning
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Jiayi Han
Longbin Zeng
Liang Du
Weiyang Ding
Jianfeng Feng
OOD
TTA
21
14
0
15 Jan 2023
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration
  Method
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang
Xuyang Zhao
Jun Yao
Chun Yuan
Weiran Huang
44
20
0
20 Nov 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution
  Calibration
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang
Yuxin Ren
Zihao Wang
C. Yuan
24
3
0
11 Oct 2022
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
40
39
0
02 May 2022
Selective-Supervised Contrastive Learning with Noisy Labels
Selective-Supervised Contrastive Learning with Noisy Labels
Shikun Li
Xiaobo Xia
Shiming Ge
Tongliang Liu
NoLa
27
172
0
08 Mar 2022
Robust Training under Label Noise by Over-parameterization
Robust Training under Label Noise by Over-parameterization
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLa
OOD
27
106
0
28 Feb 2022
Data Consistency for Weakly Supervised Learning
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
24
2
0
08 Feb 2022
Adaptive Sample Selection for Robust Learning under Label Noise
Adaptive Sample Selection for Robust Learning under Label Noise
Deep Patel
P. Sastry
OOD
NoLa
28
29
0
29 Jun 2021
Deep Learning with Label Differential Privacy
Deep Learning with Label Differential Privacy
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
Chiyuan Zhang
42
144
0
11 Feb 2021
A Topological Filter for Learning with Label Noise
A Topological Filter for Learning with Label Noise
Pengxiang Wu
Songzhu Zheng
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
NoLa
30
112
0
09 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with
  Noisy Labels
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
103
34
0
08 Dec 2020
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