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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"

24 / 74 papers shown
Title
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
Weakly Supervised Learning with Side Information for Noisy Labeled
  Images
Weakly Supervised Learning with Side Information for Noisy Labeled Images
Lele Cheng
Xiangzeng Zhou
Liming Zhao
Dangwei Li
Hong Shang
Yun Zheng
Pan Pan
Yinghui Xu
NoLa
42
43
0
25 Aug 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
Meta Soft Label Generation for Noisy Labels
Meta Soft Label Generation for Noisy Labels
G. Algan
ilkay Ulusoy
NoLa
30
38
0
11 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
36
557
0
30 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
26
103
0
12 Jun 2020
QActor: On-line Active Learning for Noisy Labeled Stream Data
QActor: On-line Active Learning for Noisy Labeled Stream Data
Taraneh Younesian
Zilong Zhao
Amirmasoud Ghiassi
Robert Birke
L. Chen
15
5
0
28 Jan 2020
Robust Deep Graph Based Learning for Binary Classification
Robust Deep Graph Based Learning for Binary Classification
Minxiang Ye
V. Stanković
L. Stanković
Gene Cheung
OOD
31
10
0
06 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in
  medical image analysis
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis
Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
NoLa
24
536
0
05 Dec 2019
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
43
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
42
310
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
880
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
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval
Devraj Mandal
Pramod Rao
Soma Biswas
19
4
0
27 May 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
603
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
410
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
989
0
21 Feb 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee
Sukmin Yun
Kibok Lee
Honglak Lee
Bo-wen Li
Jinwoo Shin
NoLa
33
134
0
31 Jan 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
31
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
35
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
2,036
0
18 Apr 2018
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