Positive-Unlabeled Learning with Non-Negative Risk Estimator

2 March 2017

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

50 / 70 papers shown

Title
An Effective Flow-based Method for Positive-Unlabeled Learning: 2-HNC Dorit Hochbaum Torpong Nitayanont 26 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 60 3 0 02 May 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 96 15 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 39 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 44 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 18 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 13 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 16 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 47 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 25 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 19 2 0 16 Feb 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning Yunke Wang Bo Du Chang Xu 23 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 24 8 0 12 Jan 2023
On The Fragility of Learned Reward Functions Lev McKinney Yawen Duan David M. Krueger Adam Gleave 28 20 0 09 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 21 2 0 16 Nov 2022
Audio Signal Enhancement with Learning from Positive and Unlabelled Data N. Ito Masashi Sugiyama 21 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 21 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 36 33 0 14 Sep 2022
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction Yi Ding Avinash Rao Hyebin Song Rebecca Willett Henry Hoffmann 48 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 18 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 19 17 0 13 Feb 2021
Probabilistic Outlier Detection and Generation S. Rizzo L. Pang Yixian Chen S. Chawla 13 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 68 23 0 12 Dec 2020