Classification from Positive, Unlabeled and Biased Negative Data

1 October 2018

Papers citing "Classification from Positive, Unlabeled and Biased Negative Data"

39 / 39 papers shown

Title
Constraint Multi-class Positive and Unlabeled Learning for Distantly Supervised Named Entity Recognition Yuzhe Zhang M. Cen Hong Zhang 29 0 0 07 Apr 2025
Micro Text Classification Based on Balanced Positive-Unlabeled Learning Lin Jia Lan-Zhe Guo Zhi-Hua Zhou Si-Ye Han Zi-Wen Li Yu-Feng Li 39 0 0 17 Mar 2025
Harmfully Manipulated Images Matter in Multimodal Misinformation Detection Bing Wang Shengsheng Wang C. Li Renchu Guan Ximing Li 24 2 0 27 Jul 2024
Decoupling the Class Label and the Target Concept in Machine Unlearning Jianing Zhu Bo Han Jiangchao Yao Jianliang Xu Gang Niu Masashi Sugiyama CLL MU 24 4 0 12 Jun 2024
Meta-learning for Positive-unlabeled Classification Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 33 1 0 06 Jun 2024
DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection Yanjing Yang Xin Zhou Runfeng Mao Jinwei Xu Lanxin Yang Yu Zhangm Haifeng Shen He Zhang 24 13 0 02 May 2024
Positive-Unlabeled Node Classification with Structure-aware Graph Learning Hansi Yang Yongqi Zhang Quanming Yao James T. Kwok 23 5 0 20 Oct 2023
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends Xinrui Wang Wenhai Wan Chuanxing Geng Shaoyuan Li Songcan Chen 23 8 0 06 Oct 2023
Anomaly detection with semi-supervised classification based on risk estimators L. Hien Sukanya Patra Souhaib Ben Taieb 26 0 0 01 Sep 2023
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 52 7 0 01 Aug 2023
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation Vasileios Sevetlidis George Pavlidis S. Mouroutsos Antonios Gasteratos 25 4 0 21 Mar 2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data Masahiro Kato Shuting Wu Kodai Kureishi Shota Yasui 10 1 0 08 Mar 2023
Leveraging Structure for Improved Classification of Grouped Biased Data Daniel Zeiberg Shantanu Jain P. Radivojac 24 2 0 07 Dec 2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 24 37 0 06 Dec 2022
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning C. Xu Chen Liu Siqian Yang Yabiao Wang Shijie Zhang Lijie Jia Yanwei Fu 21 5 0 30 Nov 2022
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision Emilio Dorigatti J. Schweisthal Bernd Bischl Mina Rezaei OOD 21 2 0 06 Sep 2022
A Boosting Algorithm for Positive-Unlabeled Learning Yawen Zhao Mingzhe Zhang Chenhao Zhang Tony Chen N. Ye Miao Xu 39 3 0 19 May 2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations Niv Cohen Rinon Gal E. Meirom Gal Chechik Y. Atzmon VLM MLLM 53 83 0 04 Apr 2022
Classification from Positive and Biased Negative Data with Skewed Labeled Posterior Probability S. Watanabe H. Matsui 6 1 0 11 Mar 2022
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning Kang Zhou Yuepei Li Qi Li 19 30 0 03 Mar 2022
Positive-Unlabeled Domain Adaptation Jonas Sonntag Gunnar Behrens Lars Schmidt-Thieme 8 2 0 11 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 23 3 0 31 Jan 2022
PAUSE: Positive and Annealed Unlabeled Sentence Embedding Le-le Cao Emil Larsson Vilhelm von Ehrenheim Dhiana Deva Cavalcanti Rocha Anna Martin Sonja Horn 21 5 0 07 Sep 2021
A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision Laurent Lejeune Raphael Sznitman 11 5 0 18 Jul 2021
A Semi-supervised Multi-task Learning Approach to Classify Customer Contact Intents Li Dong Matthew C. Spencer Amir Biagi 17 3 0 10 Jun 2021
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels Daiki Tanaka Daiki Ikami Kiyoharu Aizawa NoLa 16 3 0 08 Mar 2021
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 19 0 0 05 Jan 2021
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 24 67 0 09 Sep 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 22 141 0 17 Jul 2020
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels Yu-Ting Chou Gang Niu Hsuan-Tien Lin Masashi Sugiyama 10 57 0 05 Jul 2020
Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification Joo-Kyung Kim Young-Bum Kim 14 11 0 08 Mar 2020
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift Zayd Hammoudeh Daniel Lowd 6 37 0 24 Feb 2020
Partial Optimal Transport with Applications on Positive-Unlabeled Learning Laetitia Chapel Mokhtar Z. Alaya Gilles Gasso OT 4 8 0 19 Feb 2020
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning Yu Yao Tongliang Liu Bo Han Biwei Huang Gang Niu Masashi Sugiyama Dacheng Tao 6 18 0 10 Feb 2020
Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models Yuzhou Cao Shuqi Liu Yitian Xu 6 13 0 13 Jan 2020
Positive-Unlabeled Reward Learning Danfei Xu Misha Denil 15 38 0 01 Nov 2019
Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning Alon Jacovi Gang Niu Yoav Goldberg Masashi Sugiyama 6 9 0 29 Oct 2019
Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative Miao Xu B. Li Gang Niu Bo Han Masashi Sugiyama OnRL 15 13 0 29 Jan 2019