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Dist-PU: Positive-Unlabeled Learning from a Label Distribution
  Perspective

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective

6 December 2022
Yunrui Zhao
Qianqian Xu
Yangbangyan Jiang
Peisong Wen
Qingming Huang
ArXivPDFHTML

Papers citing "Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective"

24 / 24 papers shown
Title
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang
Hao Cheng
Jing Xiong
Qingsong Wen
Han Jia
Ruixuan Song
L. Zhang
Zhaowei Zhu
Yang Liu
AI4TS
54
1
0
21 Jan 2025
Harmfully Manipulated Images Matter in Multimodal Misinformation
  Detection
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
Bing Wang
Shengsheng Wang
C. Li
Renchu Guan
Ximing Li
16
2
0
27 Jul 2024
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo
  Supervision
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision
Chengjie Wang
Chengming Xu
Zhenye Gan
Jianlong Hu
Wenbing Zhu
Lizhuag Ma
30
1
0
09 Jul 2024
Meta-learning for Positive-unlabeled Classification
Meta-learning for Positive-unlabeled Classification
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
23
1
0
06 Jun 2024
Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the
  Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
Yang Wu
Chenghao Wang
Ece Gumusel
Xiaozhong Liu
ELM
AILaw
40
4
0
05 Jun 2024
Semi-Supervised Disease Classification based on Limited Medical Image
  Data
Semi-Supervised Disease Classification based on Limited Medical Image Data
Yan Zhang
Chun Li
Zhaoxia Liu
Ming Li
35
5
0
07 May 2024
Novel Node Category Detection Under Subpopulation Shift
Novel Node Category Detection Under Subpopulation Shift
Hsing-Huan Chung
Shravan Chaudhari
Yoav Wald
Xing Han
Joydeep Ghosh
34
1
0
01 Apr 2024
Verifying the Selected Completely at Random Assumption in
  Positive-Unlabeled Learning
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning
Paweł Teisseyre
Konrad Furmañczyk
J. Mielniczuk
28
1
0
29 Mar 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Xuefeng Du
Zhen Fang
Ilias Diakonikolas
Yixuan Li
OODD
41
27
0
05 Feb 2024
A General Framework for Learning from Weak Supervision
A General Framework for Learning from Weak Supervision
Hao Chen
Jindong Wang
Lei Feng
Xiang Li
Yidong Wang
Xing Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
24
2
0
02 Feb 2024
Learning with Complementary Labels Revisited: The
  Selected-Completely-at-Random Setting Is More Practical
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
Wei Wang
Takashi Ishida
Yu-Jie Zhang
Gang Niu
Masashi Sugiyama
22
2
0
27 Nov 2023
Positive-Unlabeled Node Classification with Structure-aware Graph
  Learning
Positive-Unlabeled Node Classification with Structure-aware Graph Learning
Hansi Yang
Yongqi Zhang
Quanming Yao
James T. Kwok
21
5
0
20 Oct 2023
Beyond Myopia: Learning from Positive and Unlabeled Data through
  Holistic Predictive Trends
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
Xinrui Wang
Wenhai Wan
Chuanxing Geng
Shaoyuan Li
Songcan Chen
16
8
0
06 Oct 2023
Learning A Disentangling Representation For PU Learning
Learning A Disentangling Representation For PU Learning
Omar Zamzam
H. Akrami
Mahdi Soltanolkotabi
Richard M. Leahy
12
0
0
05 Oct 2023
Can Class-Priors Help Single-Positive Multi-Label Learning?
Can Class-Priors Help Single-Positive Multi-Label Learning?
Biao Liu
N. Xu
Jie Wang
Xin Geng
37
1
0
25 Sep 2023
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction
Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction
Jiankai Li
Yunhong Wang
Weixin Li
26
2
0
07 Sep 2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for
  Chronic Disease Prediction
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction
Yang Wu
Xurui Li
Xuhong Zhang
Yangyang Kang
Changlong Sun
Xiaozhong Liu
19
3
0
06 Sep 2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational
  Loss for Hyperspectral Remote Sensing Imagery
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
Hengwei Zhao
Xinyu Wang
Jingtao Li
Yanfei Zhong
29
9
0
29 Aug 2023
Robust Positive-Unlabeled Learning via Noise Negative Sample
  Self-correction
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Zhangchi Zhu
Lu Wang
Pu Zhao
Chao Du
Wei Zhang
Hang Dong
Bo Qiao
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
NoLa
OnRL
49
6
0
01 Aug 2023
A Positive-Unlabeled Metric Learning Framework for Document-Level
  Relation Extraction with Incomplete Labeling
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Ye Wang
Huazheng Pan
Tao Zhang
Wen Wu
Wen-zhong Hu
18
5
0
26 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both
  Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Yixuan Li
OODD
33
45
0
15 Jun 2023
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation
Vasileios Sevetlidis
George Pavlidis
S. Mouroutsos
Antonios Gasteratos
17
4
0
21 Mar 2023
Learning From Positive and Unlabeled Data Using Observer-GAN
Learning From Positive and Unlabeled Data Using Observer-GAN
Omar Zamzam
H. Akrami
Richard M. Leahy
GAN
11
4
0
26 Aug 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Emilio Dorigatti
Jann Goschenhofer
B. Schubert
Mina Rezaei
Bernd Bischl
16
3
0
31 Jan 2022
1