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Early-Learning Regularization Prevents Memorization of Noisy Labels

Early-Learning Regularization Prevents Memorization of Noisy Labels

30 June 2020
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
    NoLa
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Papers citing "Early-Learning Regularization Prevents Memorization of Noisy Labels"

13 / 113 papers shown
Title
Contrastive Learning Improves Model Robustness Under Label Noise
Contrastive Learning Improves Model Robustness Under Label Noise
Aritra Ghosh
Andrew Lan
NoLa
21
58
0
19 Apr 2021
Memorisation versus Generalisation in Pre-trained Language Models
Memorisation versus Generalisation in Pre-trained Language Models
Michael Tänzer
Sebastian Ruder
Marek Rei
94
50
0
16 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
35
142
0
07 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding
Learning from Noisy Labels via Dynamic Loss Thresholding
Hao Yang
Youzhi Jin
Zi-Hua Li
Deng-Bao Wang
Lei Miao
Xin Geng
Min-Ling Zhang
NoLa
AI4CE
32
6
0
01 Apr 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label
  Environment
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
F. Cordeiro
Ragav Sachdeva
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
19
77
0
06 Mar 2021
Multiplicative Reweighting for Robust Neural Network Optimization
Multiplicative Reweighting for Robust Neural Network Optimization
Noga Bar
Tomer Koren
Raja Giryes
OOD
NoLa
18
9
0
24 Feb 2021
FINE Samples for Learning with Noisy Labels
FINE Samples for Learning with Noisy Labels
Taehyeon Kim
Jongwoo Ko
Sangwook Cho
J. Choi
Se-Young Yun
NoLa
38
103
0
23 Feb 2021
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image
  Classification
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification
A. Aksoy
Mahdyar Ravanbakhsh
Begüm Demir
35
24
0
19 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise
Multi-Objective Interpolation Training for Robustness to Label Noise
Diego Ortego
Eric Arazo
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
30
112
0
08 Dec 2020
Local Label Point Correction for Edge Detection of Overlapping Cervical
  Cells
Local Label Point Correction for Edge Detection of Overlapping Cervical Cells
Jiawei Liu
Huijie Fan
Qiang Wang
Wentao Li
Yandong Tang
Danbo Wang
Mingyi Zhou
Li Chen
13
9
0
05 Oct 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
24
964
0
16 Jul 2020
On the design of convolutional neural networks for automatic detection
  of Alzheimer's disease
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
Sheng Liu
Chhavi Yadav
C. Fernandez‐Granda
N. Razavian
47
46
0
09 Nov 2019
Learning without Concentration
Learning without Concentration
S. Mendelson
92
333
0
01 Jan 2014
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