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On Symmetric Losses for Learning from Corrupted Labels

On Symmetric Losses for Learning from Corrupted Labels

27 January 2019
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
    NoLa
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Papers citing "On Symmetric Losses for Learning from Corrupted Labels"

17 / 17 papers shown
Title
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
93
2,499
0
19 Apr 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
70
87
0
31 Aug 2018
Classification from Pairwise Similarity and Unlabeled Data
Classification from Pairwise Similarity and Unlabeled Data
Han Bao
Gang Niu
Masashi Sugiyama
211
88
0
12 Feb 2018
Robust Loss Functions under Label Noise for Deep Neural Networks
Robust Loss Functions under Label Noise for Deep Neural Networks
Aritra Ghosh
Himanshu Kumar
P. Sastry
NoLa
OOD
67
956
0
27 Dec 2017
Binary Classification from Positive-Confidence Data
Binary Classification from Positive-Confidence Data
Takashi Ishida
Gang Niu
Masashi Sugiyama
55
57
0
19 Oct 2017
Learning from Complementary Labels
Learning from Complementary Labels
Takashi Ishida
Gang Niu
Weihua Hu
Masashi Sugiyama
53
168
0
22 May 2017
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning
Tomoya Sakai
Gang Niu
Masashi Sugiyama
48
60
0
04 May 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
69
476
0
02 Mar 2017
Theoretical Comparisons of Positive-Unlabeled Learning against
  Positive-Negative Learning
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
Gang Niu
M. C. D. Plessis
Tomoya Sakai
Yao Ma
Masashi Sugiyama
69
127
0
10 Mar 2016
An Average Classification Algorithm
An Average Classification Algorithm
Brendan van Rooyen
A. Menon
Robert C. Williamson
38
11
0
04 Jun 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen
A. Menon
Robert C. Williamson
NoLa
164
311
0
28 May 2015
Making Risk Minimization Tolerant to Label Noise
Making Risk Minimization Tolerant to Label Noise
Aritra Ghosh
Naresh Manwani
P. Sastry
NoLa
143
214
0
14 Mar 2014
Classification with Asymmetric Label Noise: Consistency and Maximal
  Denoising
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising
Gilles Blanchard
Marek Flaska
G. Handy
Sara Pozzi
Clayton Scott
NoLa
89
244
0
05 Mar 2013
On the Consistency of AUC Pairwise Optimization
On the Consistency of AUC Pairwise Optimization
Wei Gao
Zhi Zhou
117
124
0
03 Aug 2012
Noise Tolerance under Risk Minimization
Noise Tolerance under Risk Minimization
Naresh Manwani
S. M. I. P. S. Sastry
NoLa
177
276
0
24 Sep 2011
Agnostic Learning of Monomials by Halfspaces is Hard
Agnostic Learning of Monomials by Halfspaces is Hard
Vitaly Feldman
V. Guruswami
P. Raghavendra
Yi Wu
94
157
0
03 Dec 2010
Composite Binary Losses
Composite Binary Losses
Mark D. Reid
Robert C. Williamson
157
224
0
17 Dec 2009
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