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Masking: A New Perspective of Noisy Supervision

Masking: A New Perspective of Noisy Supervision

21 May 2018
Bo Han
Jiangchao Yao
Gang Niu
Mingyuan Zhou
Ivor Tsang
Ya Zhang
Masashi Sugiyama
    NoLa
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Papers citing "Masking: A New Perspective of Noisy Supervision"

16 / 66 papers shown
Title
Provably Consistent Partial-Label Learning
Provably Consistent Partial-Label Learning
Lei Feng
Jiaqi Lv
Bo Han
Miao Xu
Gang Niu
Xin Geng
Bo An
Masashi Sugiyama
33
141
0
17 Jul 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
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
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
Rethinking Importance Weighting for Deep Learning under Distribution
  Shift
Rethinking Importance Weighting for Deep Learning under Distribution Shift
Tongtong Fang
Nan Lu
Gang Niu
Masashi Sugiyama
33
137
0
08 Jun 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon
Bo Han
Gang Niu
Tongliang Liu
Masashi Sugiyama
NoLa
40
104
0
11 Jan 2020
Learning with Multiple Complementary Labels
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
20
92
0
30 Dec 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
Learning with Noisy Labels for Sentence-level Sentiment Classification
Learning with Noisy Labels for Sentence-level Sentiment Classification
Hao Wang
Bing-Quan Liu
Chaozhuo Li
Yan Yang
Tianrui Li
NoLa
21
26
0
31 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
Are Anchor Points Really Indispensable in Label-Noise Learning?
Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia
Tongliang Liu
N. Wang
Bo Han
Chen Gong
Gang Niu
Masashi Sugiyama
NoLa
24
370
0
01 Jun 2019
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
66
172
0
24 May 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
Erkun Yang
Tongliang Liu
Cheng Deng
Wei Liu
Dacheng Tao
FedML
14
144
0
09 May 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat
  Examples Equally and Gradient Magnitude's Variance Matters
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters
Xinshao Wang
Yang Hua
Elyor Kodirov
David Clifton
N. Robertson
NoLa
24
62
0
28 Mar 2019
An Effective Label Noise Model for DNN Text Classification
An Effective Label Noise Model for DNN Text Classification
Ishan Jindal
Daniel Pressel
Brian Lester
M. Nokleby
NoLa
32
48
0
18 Mar 2019
On the Minimal Supervision for Training Any Binary Classifier from Only
  Unlabeled Data
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Nan Lu
Gang Niu
A. Menon
Masashi Sugiyama
MQ
30
86
0
31 Aug 2018
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