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Binary Classification from Positive-Confidence Data

Binary Classification from Positive-Confidence Data

19 October 2017
Takashi Ishida
Gang Niu
Masashi Sugiyama
ArXivPDFHTML

Papers citing "Binary Classification from Positive-Confidence Data"

12 / 12 papers shown
Title
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Don't drop your samples! Coherence-aware training benefits Conditional diffusion
Nicolas Dufour
Victor Besnier
Vicky Kalogeiton
David Picard
DiffM
49
2
0
30 May 2024
A Universal Unbiased Method for Classification from Aggregate
  Observations
A Universal Unbiased Method for Classification from Aggregate Observations
Zixi Wei
Lei Feng
Bo Han
Tongliang Liu
Gang Niu
Xiaofeng Zhu
H. Shen
16
2
0
20 Jun 2023
One-Class Risk Estimation for One-Class Hyperspectral Image
  Classification
One-Class Risk Estimation for One-Class Hyperspectral Image Classification
Hengwei Zhao
Yanfei Zhong
Xinyu Wang
H. Shu
21
8
0
27 Oct 2022
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
30
124
0
26 Oct 2022
Learning with Proper Partial Labels
Learning with Proper Partial Labels
Zheng Wu
Jiaqi Lv
Masashi Sugiyama
22
8
0
23 Dec 2021
A Survey of Label-noise Representation Learning: Past, Present and
  Future
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
24
158
0
09 Nov 2020
Pointwise Binary Classification with Pairwise Confidence Comparisons
Pointwise Binary Classification with Pairwise Confidence Comparisons
Lei Feng
Senlin Shu
Nan Lu
Bo Han
Miao Xu
Gang Niu
Bo An
Masashi Sugiyama
25
21
0
05 Oct 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
310
497
0
05 Mar 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
21
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
13
92
0
30 Dec 2019
Classification from Positive, Unlabeled and Biased Negative Data
Classification from Positive, Unlabeled and Biased Negative Data
Yu-Guan Hsieh
Gang Niu
Masashi Sugiyama
14
79
0
01 Oct 2018
Classification from Pairwise Similarity and Unlabeled Data
Classification from Pairwise Similarity and Unlabeled Data
Han Bao
Gang Niu
Masashi Sugiyama
165
87
0
12 Feb 2018
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