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1705.01708
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Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning
4 May 2017
Tomoya Sakai
Gang Niu
Masashi Sugiyama
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Papers citing
"Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning"
23 / 23 papers shown
Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity
Simon Jaxy
Anton Theys
Patrick Willett
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Ralf Vandam
Pieter Libin
165
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0
19 Oct 2025
A Unified Empirical Risk Minimization Framework for Flexible N-Tuples Weak Supervision
Shuying Huang
Junpeng Li
Changchun Hua
Yana Yang
297
0
0
10 Jul 2025
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision
Chengjie Wang
Chengming Xu
Zhenye Gan
Jianlong Hu
Wenbing Zhu
Lizhuag Ma
193
5
0
09 Jul 2024
Meta-learning for Positive-unlabeled Classification
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
324
1
0
06 Jun 2024
Learning from True-False Labels via Multi-modal Prompt Retrieving
Zhongnian Li
Jinghao Xu
Peng Ying
Meng Wei
Tongfeng Sun
300
1
0
24 May 2024
AUC Optimization from Multiple Unlabeled Datasets
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zheng Xie
Yu Liu
Ming Li
445
2
0
25 May 2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data
Masahiro Kato
Shuting Wu
Kodai Kureishi
Shota Yasui
170
1
0
08 Mar 2023
Learning from Stochastic Labels
Menglong Wei
Zhongnian Li
Yong Zhou
Qiaoyu Guo
Xinzheng Xu
183
0
0
01 Feb 2023
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Neural Networks (NN), 2022
Meng Wei
Yong Zhou
Zhongnian Li
Xinzheng Xu
228
20
0
28 Sep 2022
AUC Maximization in the Era of Big Data and AI: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Tianbao Yang
Yiming Ying
556
294
0
28 Mar 2022
A Symmetric Loss Perspective of Reliable Machine Learning
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
321
0
0
05 Jan 2021
Pointwise Binary Classification with Pairwise Confidence Comparisons
International Conference on Machine Learning (ICML), 2020
Lei Feng
Senlin Shu
Nan Lu
Bo Han
Miao Xu
Gang Niu
Bo An
Masashi Sugiyama
434
31
0
05 Oct 2020
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels
Yu-Ting Chou
Gang Niu
Hsuan-Tien Lin
Masashi Sugiyama
337
65
0
05 Jul 2020
Improving Positive Unlabeled Learning: Practical AUL Estimation and New Training Method for Extremely Imbalanced Data Sets
Liwei Jiang
Dan Li
Qisheng Wang
Shuai Wang
Songtao Wang
123
6
0
21 Apr 2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
Tong Wei
Feng Shi
Hai Wang
Wei-Wei Tu. Yu-Feng Li
183
12
0
20 Apr 2020
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning
International Conference on Learning Representations (ICLR), 2020
Yu Yao
Tongliang Liu
Bo Han
Biwei Huang
Gang Niu
Masashi Sugiyama
Dacheng Tao
212
24
0
10 Feb 2020
Learning with Multiple Complementary Labels
Lei Feng
Takuo Kaneko
Bo Han
Gang Niu
Bo An
Masashi Sugiyama
416
119
0
30 Dec 2019
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
AAAI Conference on Artificial Intelligence (AAAI), 2019
Wanli Shi
Bin Gu
Xinag Li
Heng-Chiao Huang
319
13
0
24 Dec 2019
Anomaly Detection with Inexact Labels
Machine-mediated learning (ML), 2019
Tomoharu Iwata
Machiko Toyoda
Shotaro Tora
N. Ueda
169
17
0
11 Sep 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Wanli Shi
Bin Gu
Xiang Li
Xiang Geng
Heng-Chiao Huang
195
15
0
29 Jul 2019
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network
IEEE transactions on fuzzy systems (IEEE TFS), 2019
Thanh Tung Khuat
Fang Chen
Bogdan Gabrys
262
20
0
29 May 2019
On Symmetric Losses for Learning from Corrupted Labels
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
NoLa
496
113
0
27 Jan 2019
Binary Classification from Positive-Confidence Data
Takashi Ishida
Gang Niu
Masashi Sugiyama
393
64
0
19 Oct 2017
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