ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.10858
  4. Cited By
Multi-class Label Noise Learning via Loss Decomposition and Centroid
  Estimation

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation

21 March 2022
Yongliang Ding
Tao Zhou
Chuang Zhang
Yijing Luo
Juan Tang
Chen Gong
    NoLa
ArXivPDFHTML

Papers citing "Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation"

4 / 4 papers shown
Title
A Novel Hybrid Ordinal Learning Model with Health Care Application
A Novel Hybrid Ordinal Learning Model with Health Care Application
Lujia Wang
Hairong Wang
Yi Su
F. Lure
Jing Li
18
3
0
15 Dec 2023
Toward Robustness in Multi-label Classification: A Data Augmentation
  Strategy against Imbalance and Noise
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
Hwanjun Song
Minseok Kim
Jae-Gil Lee
46
7
0
12 Dec 2023
Provably End-to-end Label-Noise Learning without Anchor Points
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
133
120
0
04 Feb 2021
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
319
498
0
05 Mar 2020
1