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Positive-Unlabeled Learning with Non-Negative Risk Estimator
v1v2 (latest)

Positive-Unlabeled Learning with Non-Negative Risk Estimator

2 March 2017
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Positive-Unlabeled Learning with Non-Negative Risk Estimator"

50 / 128 papers shown
Title
Reachability Weighted Offline Goal-conditioned Resampling
Reachability Weighted Offline Goal-conditioned Resampling
Wenyan Yang
Joni Pajarinen
OffRL
75
0
0
03 Jun 2025
Learning from M-Tuple Dominant Positive and Unlabeled Data
Learning from M-Tuple Dominant Positive and Unlabeled Data
Jiahe Qin
Junpeng Li
Changchun Hua
Yana Yang
29
0
0
25 May 2025
An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC
An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC
Dorit Hochbaum
Torpong Nitayanont
98
0
0
13 May 2025
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior
Surajit Chakrabarty
Rukma Talwadker
Tridib Mukherjee
GAN
140
3
0
02 May 2025
Skill-based Safe Reinforcement Learning with Risk Planning
Skill-based Safe Reinforcement Learning with Risk Planning
Hanping Zhang
Yuhong Guo
OffRLOnRL
96
0
0
02 May 2025
Achieving Unbiased Multi-Instance Learning via Balanced Fine-Grained Positive-Unlabeled Learning
Achieving Unbiased Multi-Instance Learning via Balanced Fine-Grained Positive-Unlabeled Learning
Lin-Han Jia
Lan-Zhe Guo
Zhi Zhou
Si-Ye Han
Zi-Wen Li
Yu-Feng Li
74
0
0
17 Mar 2025
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living Environments
Hengwei Zhao
Xinyu Wang
Zhuo Zheng
Jingtao Li
Yanfei Zhong
VLM
80
0
0
24 Feb 2025
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
284
20
0
11 Feb 2025
Binary Losses for Density Ratio Estimation
Binary Losses for Density Ratio Estimation
Werner Zellinger
160
0
0
28 Jan 2025
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Ranran Haoran Zhang
Bensu Uçar
Soumik Dey
Hansi Wu
Binbin Li
Rui Zhang
142
4
0
10 Jan 2025
Robust Offline Imitation Learning from Diverse Auxiliary Data
Robust Offline Imitation Learning from Diverse Auxiliary Data
Udita Ghosh
Dripta S. Raychaudhuri
Jiachen Li
Konstantinos Karydis
Amit K. Roy-Chowdhury
OffRL
123
1
0
04 Oct 2024
Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes
Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes
Jorge Paz-Ruza
Alex A. Freitas
Amparo Alonso-Betanzos
Bertha Guijarro-Berdiñas
51
0
0
14 Jun 2024
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
Antonio Santo
J. J. Cabrera
David Valiente
C. Viegas
Arturo Gil
3DPC3DV
93
2
0
03 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
Hiroshi Takahashi
Tomoharu Iwata
Atsutoshi Kumagai
Yuuki Yamanaka
140
1
0
29 May 2024
Document Set Expansion with Positive-Unlabeled Learning: A Density
  Estimation-based Approach
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach
Haiyang Zhang
Qiuyi Chen
Yuanjie Zou
Yushan Pan
Jia Wang
Mark Stevenson
61
0
0
20 Jan 2024
Single-sample versus case-control sampling scheme for Positive Unlabeled
  data: the story of two scenarios
Single-sample versus case-control sampling scheme for Positive Unlabeled data: the story of two scenarios
Jan Mielniczuk
Adam Wawrzeñczyk
68
2
0
04 Dec 2023
A Unified Approach to Count-Based Weakly-Supervised Learning
A Unified Approach to Count-Based Weakly-Supervised Learning
Vinay Shukla
Zhe Zeng
Kareem Ahmed
Guy Van den Broeck
SSL
107
6
0
22 Nov 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
63
3
0
06 Sep 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
90
5
0
26 Jun 2023
A Generalized Unbiased Risk Estimator for Learning with Augmented
  Classes
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes
Senlin Shu
Shuo He
Haobo Wang
Jianguo Huang
Tao Xiang
Lei Feng
44
3
0
12 Jun 2023
Mixture Proportion Estimation Beyond Irreducibility
Mixture Proportion Estimation Beyond Irreducibility
Yilun Zhu
A. Fjeldsted
Darren C. Holland
George V. Landon
A. Lintereur
Clayton Scott
45
5
0
02 Jun 2023
Heterogeneous Domain Adaptation with Positive and Unlabeled Data
Heterogeneous Domain Adaptation with Positive and Unlabeled Data
Junki Mori
Ryo Furukawa
Isamu Teranishi
Jun Sakuma
63
0
0
17 Apr 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
58
6
0
21 Mar 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning
Yunke Wang
Bo Du
Chang Xu
85
9
0
13 Feb 2023
Bayesian Self-Supervised Contrastive Learning
Bayesian Self-Supervised Contrastive Learning
B. Liu
Bang-wei Wang
Tianrui Li
SSLBDL
109
4
0
27 Jan 2023
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image
  Segmentation
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation
Kecheng Zhang
Xiahai Zhuang
45
8
0
12 Jan 2023
On The Fragility of Learned Reward Functions
On The Fragility of Learned Reward Functions
Lev McKinney
Yawen Duan
David M. Krueger
Adam Gleave
93
20
0
09 Jan 2023
Dist-PU: Positive-Unlabeled Learning from a Label Distribution
  Perspective
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
Yunrui Zhao
Qianqian Xu
Yangbangyan Jiang
Peisong Wen
Qingming Huang
74
40
0
06 Dec 2022
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention
  Networks with Imbalanced PU Labels
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels
Jiho Choi
Junghoon Park
Woocheol Kim
Jin-Hyeok Park
Yumin Suh
Minchang Sung
66
2
0
16 Nov 2022
Audio Signal Enhancement with Learning from Positive and Unlabelled Data
Audio Signal Enhancement with Learning from Positive and Unlabelled Data
N. Ito
Masashi Sugiyama
66
7
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
155
133
0
26 Oct 2022
A Unified Positive-Unlabeled Learning Framework for Document-Level
  Relation Extraction with Different Levels of Labeling
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling
Ye Wang
Xin-Xin Liu
Wen-zhong Hu
Tao Zhang
75
19
0
17 Oct 2022
Positive-Unlabeled Learning using Random Forests via Recursive Greedy
  Risk Minimization
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization
Jo Wilton
Abigail M. Y. Koay
R. Ko
Miao Xu
N. Ye
104
14
0
16 Oct 2022
Double logistic regression approach to biased positive-unlabeled data
Double logistic regression approach to biased positive-unlabeled data
Konrad Furmañczyk
J. Mielniczuk
Wojciech Rejchel
Paweł Teisseyre
68
1
0
16 Sep 2022
Improved proteasomal cleavage prediction with positive-unlabeled
  learning
Improved proteasomal cleavage prediction with positive-unlabeled learning
Emilio Dorigatti
Bernd Bischl
B. Schubert
35
3
0
14 Sep 2022
ScaTE: A Scalable Framework for Self-Supervised Traversability
  Estimation in Unstructured Environments
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
Junwon Seo
Taekyung Kim
K. Kwak
Jihong Min
Inwook Shim
107
35
0
14 Sep 2022
Robust and Efficient Imbalanced Positive-Unlabeled Learning with
  Self-supervision
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision
Emilio Dorigatti
Jonas Schweisthal
Bernd Bischl
Mina Rezaei
OOD
50
2
0
06 Sep 2022
Learning from Positive and Unlabeled Data with Augmented Classes
Learning from Positive and Unlabeled Data with Augmented Classes
Zhongnian Li
Liutao Yang
Zhongchen Ma
Tongfeng Sun
Xinzheng Xu
Daoqiang Zhang
59
0
0
27 Jul 2022
Domain Adaptation under Open Set Label Shift
Domain Adaptation under Open Set Label Shift
Saurabh Garg
Sivaraman Balakrishnan
Zachary Chase Lipton
OODVLM
85
42
0
26 Jul 2022
Multi-class Classification from Multiple Unlabeled Datasets with Partial
  Risk Regularization
Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk Regularization
Yuting Tang
Nan Lu
Tianyi Zhang
Masashi Sugiyama
53
4
0
04 Jul 2022
Fairness-aware Model-agnostic Positive and Unlabeled Learning
Fairness-aware Model-agnostic Positive and Unlabeled Learning
Ziwei Wu
Jingrui He
FaML
116
12
0
19 Jun 2022
Positive Unlabeled Contrastive Learning
Positive Unlabeled Contrastive Learning
Anish Acharya
Sujay Sanghavi
Li Jing
Bhargav Bhushanam
Dhruv Choudhary
Michael G. Rabbat
Inderjit Dhillon
SSL
65
11
0
01 Jun 2022
A Boosting Algorithm for Positive-Unlabeled Learning
A Boosting Algorithm for Positive-Unlabeled Learning
Yawen Zhao
Mingzhe Zhang
Chenhao Zhang
Tony Chen
N. Ye
Miao Xu
76
3
0
19 May 2022
Positive-Unlabeled Learning with Adversarial Data Augmentation for
  Knowledge Graph Completion
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Zhenwei Tang
Shichao Pei
Zhao Zhang
Yongchun Zhu
Fuzhen Zhuang
Robert Hoehndorf
Xiangliang Zhang
81
34
0
02 May 2022
TransductGAN: a Transductive Adversarial Model for Novelty Detection
TransductGAN: a Transductive Adversarial Model for Novelty Detection
Najiba Toron
J. Mourão-Miranda
John Shawe-Taylor
56
1
0
29 Mar 2022
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler
  Prediction
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction
Yi Ding
Avinash Rao
Hyebin Song
Rebecca Willett
Henry Hoffmann
106
3
0
16 Mar 2022
Distantly Supervised Named Entity Recognition via Confidence-Based
  Multi-Class Positive and Unlabeled Learning
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning
Kang Zhou
Yuepei Li
Qi Li
80
31
0
03 Mar 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
74
3
0
31 Jan 2022
Unified Perspective on Probability Divergence via Maximum Likelihood
  Density Ratio Estimation: Bridging KL-Divergence and Integral Probability
  Metrics
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics
Masahiro Kato
Masaaki Imaizumi
Kentaro Minami
79
0
0
31 Jan 2022
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
Anomaly Detection in Blockchain Networks: A Comprehensive Survey
Muneeb Ul Hassan
M. H. Rehmani
Jinjun Chen
AI4TS
70
150
0
11 Dec 2021
123
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