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. 2105.14083
  4. Cited By
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial
  Awareness

Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness

28 May 2021
Glenn Dawson
R. Polikar
    NoLa
ArXivPDFHTML

Papers citing "Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness"

2 / 2 papers shown
Title
To Smooth or Not? When Label Smoothing Meets Noisy Labels
To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei
Hangyu Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
Yang Liu
NoLa
20
69
0
08 Jun 2021
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert
  Opinions with Graph-Based Spectral Ranking
OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking
Glenn Dawson
R. Polikar
11
5
0
11 Feb 2021
1