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. 1906.05509
  4. Cited By
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR

13 June 2019
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
    NoLa
ArXiv (abs)PDFHTML

Papers citing "A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR"

4 / 4 papers shown
Title
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
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
121
128
0
10 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
164
34
0
08 Dec 2020
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
133
551
0
05 Dec 2019
Countering Noisy Labels By Learning From Auxiliary Clean Labels
Countering Noisy Labels By Learning From Auxiliary Clean Labels
Tsung Wei Tsai
Chongxuan Li
Jun Zhu
SSL
19
1
0
23 May 2019
1