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. 1904.11238
  4. Cited By
Unsupervised Label Noise Modeling and Loss Correction

Unsupervised Label Noise Modeling and Loss Correction

25 April 2019
Eric Arazo Sanchez
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
    NoLa
ArXivPDFHTML

Papers citing "Unsupervised Label Noise Modeling and Loss Correction"

8 / 108 papers shown
Title
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
30
429
0
22 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
S. Hoi
23
94
0
17 Sep 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
Jun Shu
Qian Zhao
Zengben Xu
Deyu Meng
NoLa
31
29
0
10 Jun 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
Karishma Sharma
Pinar E. Donmez
Enming Luo
Yan Liu
I. Z. Yalniz
NoLa
60
32
0
15 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li
Caiming Xiong
R. Socher
S. Hoi
ObjD
NoLa
52
28
0
03 Mar 2020
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Yifan Zhang
Ying Wei
P. Zhao
Shuaicheng Niu
Qingyao Wu
Mingkui Tan
Junzhou Huang
OOD
18
144
0
17 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels
Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
36
673
0
31 Oct 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise
  for Overparameterized Neural Networks
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
Mingchen Li
Mahdi Soltanolkotabi
Samet Oymak
NoLa
26
350
0
27 Mar 2019
Previous
123