Positive-Unlabeled Learning with Non-Negative Risk Estimator

2 March 2017

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

50 / 69 papers shown

Title
An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC Dorit Hochbaum Torpong Nitayanont 19 0 0 13 May 2025
Skill-based Safe Reinforcement Learning with Risk Planning Hanping Zhang Yuhong Guo OffRL OnRL 40 0 0 02 May 2025
ScarceGAN: Discriminative Classification Framework for Rare Class Identification for Longitudinal Data with Weak Prior Surajit Chakrabarty Rukma Talwadker Tridib Mukherjee GAN 52 3 0 02 May 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 96 14 0 11 Feb 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 53 0 0 28 Jan 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 L. 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 47 2 0 10 Jan 2025
Theoretically Guaranteed Distribution Adaptable Learning Chao Xu Xijia Tang Guoqing Liu Yuhua Qian Chenping Hou OOD 37 0 0 05 Nov 2024
Robust Offline Imitation Learning from Diverse Auxiliary Data Udita Ghosh Dripta S. Raychaudhuri Jiachen Li Konstantinos Karydis A. Roy-Chowdhury OffRL 24 1 0 04 Oct 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 13 0 0 14 Jun 2024
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
TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation Antonio Santo J. J. Cabrera David Valiente C. Viegas Arturo Gil 3DPC 3DV 42 1 0 03 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 35 1 0 29 May 2024
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu Qi Qi Zhaosong Lu Tianbao Yang 34 1 0 28 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 32 0 0 06 May 2024
Soft Label PU Learning Puning Zhao Jintao Deng Xu Cheng 16 0 0 03 May 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 34 1 0 01 Apr 2024
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization Lukas Gruber Markus Holzleitner Johannes Lehner Sepp Hochreiter Werner Zellinger 46 1 0 21 Feb 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning Zhishuai Li Yunhao Nie Ziyue Li Lei Bai Yisheng Lv Rui Zhao 11 5 0 23 Jan 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 11 0 0 20 Jan 2024
A Unified Approach to Count-Based Weakly-Supervised Learning Vinay Shukla Zhe Zeng Kareem Ahmed Guy Van den Broeck SSL 45 5 0 22 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 24 3 0 06 Sep 2023
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
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 30 42 0 29 May 2023
Heterogeneous Domain Adaptation with Positive and Unlabeled Data Junki Mori Ryo Furukawa Isamu Teranishi Jun Sakuma 20 0 0 17 Apr 2023
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation Vasileios Sevetlidis George Pavlidis S. Mouroutsos Antonios Gasteratos 22 4 0 21 Mar 2023
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations Zipei Zhao Fengqian Pang Yao Liu Zhiwen Liu Chuyang Ye 16 2 0 16 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 21 8 0 13 Feb 2023
Bayesian Self-Supervised Contrastive Learning B. Liu Bang-wei Wang Tianrui Li SSL BDL 16 4 0 27 Jan 2023
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation Kecheng Zhang Xiahai Zhuang 19 8 0 12 Jan 2023
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 22 37 0 06 Dec 2022
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 19 2 0 16 Nov 2022
Audio Signal Enhancement with Learning from Positive and Unlabelled Data N. Ito Masashi Sugiyama 19 7 0 27 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 30 124 0 26 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 18 13 0 16 Oct 2022
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments Junwon Seo Taekyung Kim K. Kwak Jihong Min Inwook Shim 31 33 0 14 Sep 2022
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction Yi Ding Avinash Rao Hyebin Song Rebecca Willett Henry Hoffmann 39 3 0 16 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 16 3 0 31 Jan 2022
Anomaly Detection in Blockchain Networks: A Comprehensive Survey Muneeb Ul Hassan M. H. Rehmani Jinjun Chen AI4TS 31 142 0 11 Dec 2021
Mixture Proportion Estimation and PU Learning: A Modern Approach Saurabh Garg Yifan Wu Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton 16 51 0 01 Nov 2021
Estimation of Local Average Treatment Effect by Data Combination Kazuhiko Shinoda T. Hoshino 16 1 0 11 Sep 2021
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence Ganzhao Yuan 25 3 0 09 Sep 2021
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding S. Tonekaboni Danny Eytan Anna Goldenberg CML SSL AI4TS 17 283 0 01 Jun 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 25 33 0 08 Mar 2021
Learning from Similarity-Confidence Data Yuzhou Cao Lei Feng Yitian Xu Bo An Gang Niu Masashi Sugiyama 16 17 0 13 Feb 2021
Probabilistic Outlier Detection and Generation S. Rizzo L. Pang Yixian Chen S. Chawla 11 0 0 22 Dec 2020
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 17 4 0 12 Dec 2020
Semi-supervised reward learning for offline reinforcement learning Ksenia Konyushkova Konrad Zolna Y. Aytar Alexander Novikov Scott E. Reed Serkan Cabi Nando de Freitas SSL OffRL 58 23 0 12 Dec 2020
Offline Learning from Demonstrations and Unlabeled Experience Konrad Zolna Alexander Novikov Ksenia Konyushkova Çağlar Gülçehre Ziyun Wang Y. Aytar Misha Denil Nando de Freitas Scott E. Reed SSL OffRL 24 66 0 27 Nov 2020