Rethinking Class-Prior Estimation for Positive-Unlabeled Learning

10 February 2020

Bo Han

Papers citing "Rethinking Class-Prior Estimation for Positive-Unlabeled Learning"

20 / 20 papers shown

Title
Instance-dependent Label-noise Learning under a Structural Causal Model Yu Yao Tongliang Liu Biwei Huang Bo Han Gang Niu Kun Zhang CML NoLa 60 72 0 07 Sep 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels Ying-Long Bai Erkun Yang Bo Han Yanhua Yang Jiatong Li Yinian Mao Gang Niu Tongliang Liu NoLa 55 219 0 30 Jun 2021
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Jun Yu Gang Niu Masashi Sugiyama NoLa 68 112 0 01 Jun 2021
Relaxed Softmax for learning from Positive and Unlabeled data Ugo Tanielian Flavian Vasile 100 10 0 17 Sep 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 73 379 0 01 Jun 2019
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric Yongchan Kwon Wonyoung Hedge Kim Masashi Sugiyama M. Paik 15 8 0 28 Jan 2019
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 75 560 0 12 Nov 2018
Classification from Positive, Unlabeled and Biased Negative Data Yu-Guan Hsieh Gang Niu Masashi Sugiyama 55 80 0 01 Oct 2018
Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data Masahiro Kato Liyuan Xu Gang Niu Masashi Sugiyama 23 14 0 15 Sep 2018
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels Curtis G. Northcutt Tailin Wu Isaac L. Chuang NoLa 54 160 0 04 May 2017
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning Tomoya Sakai Gang Niu Masashi Sugiyama 48 60 0 04 May 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator Ryuichi Kiryo Gang Niu M. C. D. Plessis Masashi Sugiyama 71 476 0 02 Mar 2017
Class-prior Estimation for Learning from Positive and Unlabeled Data M. C. D. Plessis Gang Niu Masashi Sugiyama 76 160 0 05 Nov 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning Gang Niu M. C. D. Plessis Tomoya Sakai Yao Ma Masashi Sugiyama 69 127 0 10 Mar 2016
Mixture Proportion Estimation via Kernel Embedding of Distributions H. G. Ramaswamy Clayton Scott Ambuj Tewari 56 198 0 08 Mar 2016
Nonparametric semi-supervised learning of class proportions Shantanu Jain Martha White M. Trosset P. Radivojac 50 59 0 08 Jan 2016
Building Classifiers to Predict the Start of Glucose-Lowering Pharmacotherapy Using Belgian Health Expenditure Data Marc Claesen F. Smet P. Gillard C. Mathieu B. De Moor 32 15 0 28 Apr 2015
Compositional Vector Space Models for Knowledge Base Completion Arvind Neelakantan Benjamin Roth Andrew McCallum BDL CoGe KELM 63 283 0 24 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 91 244 0 05 Mar 2013