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Instance-Dependent PU Learning by Bayesian Optimal Relabeling

Instance-Dependent PU Learning by Bayesian Optimal Relabeling

7 August 2018
Fengxiang He
Tongliang Liu
Geoffrey I. Webb
Dacheng Tao
ArXivPDFHTML

Papers citing "Instance-Dependent PU Learning by Bayesian Optimal Relabeling"

9 / 9 papers shown
Title
Learning from positive and unlabeled data: a survey
Learning from positive and unlabeled data: a survey
Jessa Bekker
Jesse Davis
75
560
0
12 Nov 2018
Learning with Biased Complementary Labels
Learning with Biased Complementary Labels
Xiyu Yu
Tongliang Liu
Biwei Huang
Dacheng Tao
59
198
0
27 Nov 2017
Learning with Bounded Instance- and Label-dependent Label Noise
Learning with Bounded Instance- and Label-dependent Label Noise
Jiacheng Cheng
Tongliang Liu
K. Ramamohanarao
Dacheng Tao
NoLa
65
148
0
12 Sep 2017
Transfer Learning with Label Noise
Transfer Learning with Label Noise
Xiyu Yu
Tongliang Liu
Biwei Huang
Kun Zhang
Kayhan Batmanghelich
Dacheng Tao
NoLa
35
32
0
31 Jul 2017
Learning from Complementary Labels
Learning from Complementary Labels
Takashi Ishida
Gang Niu
Weihua Hu
Masashi Sugiyama
53
168
0
22 May 2017
Class-prior Estimation for Learning from Positive and Unlabeled Data
Class-prior Estimation for Learning from Positive and Unlabeled Data
M. C. D. Plessis
Gang Niu
Masashi Sugiyama
76
160
0
05 Nov 2016
Distributed Representations of Sentences and Documents
Distributed Representations of Sentences and Documents
Quoc V. Le
Tomas Mikolov
FaML
254
9,242
0
16 May 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
394
33,529
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
677
31,512
0
16 Jan 2013
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