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DivideMix: Learning with Noisy Labels as Semi-supervised Learning

DivideMix: Learning with Noisy Labels as Semi-supervised Learning

18 February 2020
Junnan Li
R. Socher
Guosheng Lin
    NoLa
ArXivPDFHTML

Papers citing "DivideMix: Learning with Noisy Labels as Semi-supervised Learning"

16 / 216 papers shown
Title
From Weakly Supervised Learning to Biquality Learning: an Introduction
From Weakly Supervised Learning to Biquality Learning: an Introduction
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
A. Ouorou
19
21
0
16 Dec 2020
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
40
123
0
10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
Hongxin Wei
Lei Feng
R. Wang
Bo An
NoLa
27
6
0
09 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
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
103
34
0
08 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and
  Future
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
24
159
0
09 Nov 2020
A Survey on Recent Approaches for Natural Language Processing in
  Low-Resource Scenarios
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
219
287
0
23 Oct 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
Weak-shot Fine-grained Classification via Similarity Transfer
Weak-shot Fine-grained Classification via Similarity Transfer
Junjie Chen
Li Niu
Liu Liu
Liqing Zhang
36
21
0
19 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
Guosheng Lin
26
95
0
17 Sep 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
963
0
16 Jul 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Xiaobo Xia
Tongliang Liu
Bo Han
Nannan Wang
Biwei Huang
Haifeng Liu
Gang Niu
Dacheng Tao
Masashi Sugiyama
NoLa
13
67
0
14 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
27
294
0
09 Jun 2020
Towards Noise-resistant Object Detection with Noisy Annotations
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li
Caiming Xiong
R. Socher
Guosheng Lin
ObjD
NoLa
62
28
0
03 Mar 2020
Confident Learning: Estimating Uncertainty in Dataset Labels
Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
43
674
0
31 Oct 2019
Probabilistic Decoupling of Labels in Classification
Probabilistic Decoupling of Labels in Classification
Jeppe Nørregaard
Lars Kai Hansen
BDL
14
0
0
29 May 2019
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