Learning from positive and unlabeled data: a survey

12 November 2018

Papers citing "Learning from positive and unlabeled data: a survey"

50 / 65 papers shown

Title
Negative Metric Learning for Graphs Yiyang Zhao Chengpei Wu Lilin Zhang Ning Yang 26 0 0 15 May 2025
Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures Yu Xin Peng Liu Zhuohang Xie Wenhui Mi Pengyue Gao Hong Jian Zhao Jian Lv Yanchao Wang Yanming Ma 28 0 0 14 May 2025
An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC Dorit Hochbaum Torpong Nitayanont 31 0 0 13 May 2025
Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation Hannes Waldetoft Jakob Torgander Måns Magnusson 34 0 0 05 May 2025
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 197 0 0 05 Apr 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 63 5 0 17 Feb 2025
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 Li Zhang Zhaowei Zhu Yang Liu AI4TS 58 1 0 21 Jan 2025
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 55 2 0 10 Jan 2025
Cross-Domain Keyword Extraction with Keyness Patterns Dongmei Zhou Xuri Tang 40 0 0 27 Sep 2024
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification Siyan Liu Chi-Kuang Yeh Xin Zhang Qinglong Tian Pengfei Li 31 0 0 13 Jul 2024
Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes Jorge Paz-Ruza Alex A. Freitas Amparo Alonso-Betanzos B. Guijarro-Berdiñas 23 0 0 14 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 43 1 0 29 May 2024
Boosting Single Positive Multi-label Classification with Generalized Robust Loss Yanxi Chen Chunxiao Li Xinyang Dai Jinhuan Li Weiyu Sun Yiming Wang Renyuan Zhang Tinghe Zhang Bo Wang 37 0 0 06 May 2024
Soft Label PU Learning Puning Zhao Jintao Deng Xu Cheng 18 0 0 03 May 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 36 1 0 01 Apr 2024
Dataset Clustering for Improved Offline Policy Learning Qiang Wang Yixin Deng Francisco Roldan Sanchez Keru Wang Kevin McGuinness Noel E. O'Connor Stephen J. Redmond OffRL 31 2 0 14 Feb 2024
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach Haiyang Zhang Qiuyi Chen Yuanjie Zou Yushan Pan Jia Wang Mark Stevenson 23 0 0 20 Jan 2024
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning Robin Zbinden Nina Van Tiel B. Kellenberger L. Hughes D. Tuia 27 11 0 03 Jan 2024
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing Gabriel Agostini Emma Pierson Nikhil Garg 34 3 0 18 Dec 2023
A Unified Approach to Count-Based Weakly-Supervised Learning Vinay Shukla Zhe Zeng Kareem Ahmed Mathias Niepert SSL 55 6 0 22 Nov 2023
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability Jorge Paz-Ruza Amparo Alonso-Betanzos Berta Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco BDL 34 5 0 27 Jul 2023
Multiscale Positive-Unlabeled Detection of AI-Generated Texts Yuchuan Tian Hanting Chen Xutao Wang Zheyuan Bai Qinghua Zhang Ruifeng Li Chaoxi Xu Yunhe Wang DeLMO 38 43 0 29 May 2023
AUC Optimization from Multiple Unlabeled Datasets Zheng Xie Yu Liu Ming Li 73 1 0 25 May 2023
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade Zefan Cai Xin Zheng Tianyu Liu Xu Wang H. Meng Jiaqi Han Gang Yuan Binghuai Lin Baobao Chang Yunbo Cao 26 4 0 24 May 2023
Taxonomy Expansion for Named Entity Recognition Karthikeyan K Yogarshi Vyas Jie Ma Giovanni Paolini Neha Ann John Shuai Wang Yassine Benajiba Vittorio Castelli Dan Roth Miguel Ballesteros 24 2 0 22 May 2023
Heterogeneous Domain Adaptation with Positive and Unlabeled Data Junki Mori Ryo Furukawa Isamu Teranishi Jun Sakuma 28 0 0 17 Apr 2023
Keypoint-Guided Optimal Transport Xiang Gu Yucheng Yang Weizhen Zeng Jian Sun Zongben Xu 41 1 0 23 Mar 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks Bowen Tian Qinliang Su Jianxing Yu 25 2 0 03 Feb 2023
Bayesian Self-Supervised Contrastive Learning B. Liu Bang-wei Wang Tianrui Li SSL BDL 29 4 0 27 Jan 2023
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning Thorsten Wittkopp Dominik Scheinert Philipp Wiesner Alexander Acker O. Kao AI4TS 26 6 0 25 Jan 2023
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 30 38 0 06 Dec 2022
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 32 7 0 30 Nov 2022
Unsupervised Machine Learning for Explainable Health Care Fraud Detection Shubhranshu Shekhar Jetson Leder-Luis Leman Akoglu OOD 19 6 0 05 Nov 2022
Domain Adaptation under Missingness Shift Helen Zhou Sivaraman Balakrishnan Zachary Chase Lipton 27 8 0 03 Nov 2022
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 16 6 0 19 Oct 2022
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization Jo Wilton Abigail M. Y. Koay R. Ko Miao Xu N. Ye 29 13 0 16 Oct 2022
Automatic Generation of Product Concepts from Positive Examples, with an Application to Music Streaming Kshitij Goyal Wannes Meert Hendrik Blockeel E. V. Wolputte Koen Vanderstraeten Wouter Pijpops Kurt Jaspers 30 1 0 04 Oct 2022
Double logistic regression approach to biased positive-unlabeled data Konrad Furmañczyk J. Mielniczuk Wojciech Rejchel Paweł Teisseyre 22 1 0 16 Sep 2022
Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties Tessa Masis A. Neal Lisa Green Brendan O'Connor 25 9 0 15 Sep 2022
A patch-based architecture for multi-label classification from single label annotations Warren Jouanneau Aurélie Bugeau Marc Palyart Nicolas Papadakis Laurent Vézard 28 0 0 14 Sep 2022
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments Junwon Seo Taekyung Kim K. Kwak Jihong Min Inwook Shim 44 34 0 14 Sep 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning Trenton Chang Michael Sjoding Jenna Wiens 26 11 0 01 Aug 2022
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion Weng Fei Low Gim Hee Lee 30 6 0 29 Jul 2022
Unsupervised Learning under Latent Label Shift Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 57 9 0 26 Jul 2022
Bayesian Negative Sampling for Recommendation B. Liu Bang-wei Wang BDL 33 9 0 02 Apr 2022
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction Yi Ding Avinash Rao Hyebin Song Rebecca Willett Henry Hoffmann 56 3 0 16 Mar 2022
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs Charles Tapley Hoyt M. Berrendorf Mikhail Galkin Volker Tresp Benjamin M. Gyori 29 20 0 14 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 37 26 0 10 Mar 2022
Towards Targeted Change Detection with Heterogeneous Remote Sensing Images for Forest Mortality Mapping Jorgen A. Agersborg L. Luppino S. N. Anfinsen J. U. Jepsen 12 5 0 28 Feb 2022
Positive-Unlabeled Domain Adaptation Jonas Sonntag Gunnar Behrens Lars Schmidt-Thieme 16 2 0 11 Feb 2022