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Class Proportion Estimation with Application to Multiclass Anomaly Rejection

International Conference on Artificial Intelligence and Statistics (AISTATS), 2013

21 June 2013

Tyler Sanderson

Clayton Scott

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Papers citing "Class Proportion Estimation with Application to Multiclass Anomaly Rejection"

25 / 25 papers shown

Title
Semiparametric Learning from Open-Set Label Shift Data Siyan Liu Yukun Liu Qinglong Tian Pengfei Li Jing Qin OOD VLM 68 0 0 18 Sep 2025
Mixture Proportion Estimation Beyond IrreducibilityInternational Conference on Machine Learning (ICML), 2023 Yilun Zhu A. Fjeldsted Darren C. Holland George V. Landon A. Lintereur Clayton Scott 131 10 0 02 Jun 2023
Domain Adaptation under Open Set Label ShiftNeural Information Processing Systems (NeurIPS), 2022 Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton OOD VLM 207 54 0 26 Jul 2022
Mixture Proportion Estimation and PU Learning: A Modern ApproachNeural Information Processing Systems (NeurIPS), 2021 Saurabh Garg Yifan Wu Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton 149 64 0 01 Nov 2021
Self-paced Resistance Learning against Overfitting on Noisy LabelsPattern Recognition (Pattern Recogn.), 2021 Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 248 25 0 07 May 2021
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Kamyar Azizzadenesheli OOD 241 15 0 29 Nov 2020
RNNP: A Robust Few-Shot Learning ApproachIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 98 19 0 22 Nov 2020
Open Set Domain Adaptation using Optimal Transport Marwa Kechaou Romain Hérault Mokhtar Z. Alaya Gilles Gasso OT OOD 76 1 0 02 Oct 2020
Combating noisy labels by agreement: A joint training method with co-regularizationComputer Vision and Pattern Recognition (CVPR), 2020 Jianguo Huang Lei Feng Xiangyu Chen Bo An NoLa 851 615 0 05 Mar 2020
Regularized Learning for Domain Adaptation under Label Shifts Kamyar Azizzadenesheli Anqi Liu Fanny Yang Anima Anandkumar 118 217 0 22 Mar 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 354 888 0 14 Jan 2019
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation Clayton Scott 235 37 0 03 Oct 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 169 269 0 21 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsNeural Information Processing Systems (NeurIPS), 2018 Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 377 2,358 0 18 Apr 2018
Optimal Transport for Multi-source Domain Adaptation under Target ShiftInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018 I. Redko Nicolas Courty Rémi Flamary D. Tuia OOD 218 156 0 13 Mar 2018
On the Topic of Jets: Disentangling Quarks and Gluons at Colliders E. Metodiev Jesse Thaler 288 75 0 31 Jan 2018
Domain Generalization by Marginal Transfer Learning Gilles Blanchard A. Deshmukh Ürün Dogan Gyemin Lee Clayton Scott OOD 222 319 0 21 Nov 2017
Decontamination of Mutual Contamination Models Julian Katz-Samuels Gilles Blanchard Clayton Scott 249 25 0 30 Sep 2017
Recovering True Classifier Performance in Positive-Unlabeled LearningAAAI Conference on Artificial Intelligence (AAAI), 2017 Shantanu Jain Martha White P. Radivojac 141 47 0 02 Feb 2017
Class-prior Estimation for Learning from Positive and Unlabeled Data M. C. D. Plessis Gang Niu Masashi Sugiyama 173 170 0 05 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 425 1,578 0 13 Sep 2016
Estimating the class prior and posterior from noisy positives and unlabeled dataNeural Information Processing Systems (NeurIPS), 2016 Shantanu Jain Martha White P. Radivojac NoLa 145 128 0 28 Jun 2016
Mixture Proportion Estimation via Kernel Embedding of Distributions H. G. Ramaswamy Clayton Scott Ambuj Tewari 155 215 0 08 Mar 2016
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models Julian Katz-Samuels Clayton Scott 173 3 0 19 Feb 2016
Sparse Approximation of a Kernel Mean Efrén Cruz Cortés C. Scott 123 20 0 01 Mar 2015