Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training

22 June 2020

Papers citing "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training"

19 / 19 papers shown

Title
Probability-density-aware Semi-supervised Learning Shuyang Liu Ruiqiu Zheng Yunhang Shen Ke Li Xing Sun Zhou Yu Shaohui Lin 40 0 0 08 Jan 2025
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 52 4 0 05 Jun 2024
Soft Label PU Learning Puning Zhao Jintao Deng Xu Cheng 20 0 0 03 May 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning Zhishuai Li Yunhao Nie Ziyue Li Lei Bai Yisheng Lv Rui Zhao 21 5 0 23 Jan 2024
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition Jiaming Zhou Hanjun Li Kun-Yu Lin Junwei Liang 29 1 0 28 Nov 2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction Yang Wu Xurui Li Xuhong Zhang Yangyang Kang Changlong Sun Xiaozhong Liu 32 3 0 06 Sep 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
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation Vasileios Sevetlidis George Pavlidis S. Mouroutsos Antonios Gasteratos 33 4 0 21 Mar 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 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
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning C. Xu Chen Liu Siqian Yang Yabiao Wang Shijie Zhang Lijie Jia Yanwei Fu 24 5 0 30 Nov 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
Symbolic Learning to Optimize: Towards Interpretability and Scalability Wenqing Zheng Tianlong Chen Ting-Kuei Hu Zhangyang Wang 50 19 0 13 Mar 2022
Positive-Unlabeled Domain Adaptation Jonas Sonntag Gunnar Behrens Lars Schmidt-Thieme 16 2 0 11 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 26 3 0 31 Jan 2022
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 61 225 0 23 Mar 2021
Training Stronger Baselines for Learning to Optimize Tianlong Chen Weiyi Zhang Jingyang Zhou Shiyu Chang Sijia Liu Lisa Amini Zhangyang Wang OffRL 27 51 0 18 Oct 2020
Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng Senlin Shu Nan Lu Bo Han Miao Xu Gang Niu Bo An Masashi Sugiyama 36 22 0 05 Oct 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 30 141 0 17 Jul 2020