Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning

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Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning

4 May 2017

Masashi Sugiyama

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Papers citing "Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning"

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Title
A Unified Empirical Risk Minimization Framework for Flexible N-Tuples Weak Supervision Shuying Huang Junpeng Li Changchun Hua Yana Yang 34 0 0 10 Jul 2025
Learning from True-False Labels via Multi-modal Prompt Retrieving Zhongnian Li Jinghao Xu Peng Ying Meng Wei Tongfeng Sun 120 0 0 24 May 2024
AUC Optimization from Multiple Unlabeled Datasets Zheng Xie Yu Liu Ming Li 190 2 0 25 May 2023
Learning from Stochastic Labels Menglong Wei Zhongnian Li Yong Zhou Qiaoyu Guo Xinzheng Xu 78 0 0 01 Feb 2023
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 114 14 0 28 Sep 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 269 213 0 28 Mar 2022
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 122 0 0 05 Jan 2021
Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng Senlin Shu Nan Lu Bo Han Miao Xu Gang Niu Bo An Masashi Sugiyama 167 27 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 159 62 0 05 Jul 2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning Tong Wei Feng Shi Hai Wang Wei-Wei Tu. Yu-Feng Li 71 11 0 20 Apr 2020
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning Yu Yao Tongliang Liu Bo Han Biwei Huang Gang Niu Masashi Sugiyama Dacheng Tao 106 19 0 10 Feb 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 185 105 0 30 Dec 2019
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization Wanli Shi Bin Gu Xinag Li Heng-Chiao Huang 166 13 0 24 Dec 2019
Anomaly Detection with Inexact Labels Tomoharu Iwata Machiko Toyoda Shotaro Tora N. Ueda 67 16 0 11 Sep 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization Wanli Shi Bin Gu Xiang Li Xiang Geng Heng-Chiao Huang 94 15 0 29 Jul 2019
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network Thanh Tung Khuat Fang Chen Bogdan Gabrys 120 18 0 29 May 2019
On Symmetric Losses for Learning from Corrupted Labels Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama NoLa 154 107 0 27 Jan 2019
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 116 60 0 19 Oct 2017