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Iterative Learning with Open-set Noisy Labels

Iterative Learning with Open-set Noisy Labels

31 March 2018
Yisen Wang
Weiyang Liu
Xingjun Ma
James Bailey
H. Zha
Le Song
Shutao Xia
    NoLa
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Papers citing "Iterative Learning with Open-set Noisy Labels"

13 / 63 papers shown
Title
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
40
51
0
04 Dec 2019
Robust Training with Ensemble Consensus
Robust Training with Ensemble Consensus
Jisoo Lee
Sae-Young Chung
NoLa
22
28
0
22 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Philipp Kratzer
Marc Toussaint
Thi Phuong Nhung Ngo
T. Nguyen
Jim Mainprice
Thomas Brox
NoLa
33
308
0
04 Oct 2019
NLNL: Negative Learning for Noisy Labels
NLNL: Negative Learning for Noisy Labels
Youngdong Kim
Junho Yim
Juseung Yun
Junmo Kim
NoLa
17
265
0
19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang
Xingjun Ma
Zaiyi Chen
Yuan Luo
Jinfeng Yi
James Bailey
NoLa
39
875
0
16 Aug 2019
Learning to Segment Skin Lesions from Noisy Annotations
Learning to Segment Skin Lesions from Noisy Annotations
Z. Mirikharaji
Yiqi Yan
Ghassan Hamarneh
38
77
0
10 Jun 2019
Unsupervised Label Noise Modeling and Loss Correction
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo Sanchez
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
NoLa
44
602
0
25 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise
Wasserstein Adversarial Regularization (WAR) on label noise
Kilian Fatras
B. Bushan
Sylvain Lobry
Rémi Flamary
D. Tuia
Nicolas Courty
19
24
0
08 Apr 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
Kun Yi
Jianxin Wu
NoLa
36
409
0
19 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
41
987
0
21 Feb 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels
Learning Sound Event Classifiers from Web Audio with Noisy Labels
Eduardo Fonseca
Manoj Plakal
D. Ellis
F. Font
Xavier Favory
Xavier Serra
NoLa
25
110
0
04 Jan 2019
Dimensionality-Driven Learning with Noisy Labels
Dimensionality-Driven Learning with Noisy Labels
Xingjun Ma
Yisen Wang
Michael E. Houle
Shuo Zhou
S. Erfani
Shutao Xia
S. Wijewickrema
James Bailey
NoLa
29
425
0
07 Jun 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely
  Noisy Labels
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
58
2,027
0
18 Apr 2018
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