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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"
26 / 26 papers shown
Semiparametric Learning from Open-Set Label Shift Data
Siyan Liu
Yukun Liu
Qinglong Tian
Pengfei Li
Jing Qin
OOD
VLM
88
0
0
18 Sep 2025
Mixture Proportion Estimation Beyond Irreducibility
International Conference on Machine Learning (ICML), 2023
Yilun Zhu
A. Fjeldsted
Darren C. Holland
George V. Landon
A. Lintereur
Clayton Scott
150
10
0
02 Jun 2023
Domain Adaptation under Open Set Label Shift
Neural Information Processing Systems (NeurIPS), 2022
Saurabh Garg
Sivaraman Balakrishnan
Zachary Chase Lipton
OOD
VLM
261
54
0
26 Jul 2022
Mixture Proportion Estimation and PU Learning: A Modern Approach
Neural Information Processing Systems (NeurIPS), 2021
Saurabh Garg
Yifan Wu
Alexander J. Smola
Sivaraman Balakrishnan
Zachary Chase Lipton
154
64
0
01 Nov 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels
Pattern Recognition (Pattern Recogn.), 2021
Xiaoshuang Shi
Zhenhua Guo
Fuyong Xing
Yun Liang
Xiaofeng Zhu
NoLa
335
26
0
07 May 2021
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Kamyar Azizzadenesheli
OOD
294
15
0
29 Nov 2020
RNNP: A Robust Few-Shot Learning Approach
IEEE 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
100
1
0
02 Oct 2020
Combating noisy labels by agreement: A joint training method with co-regularization
Computer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
944
628
0
05 Mar 2020
A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Devraj Mandal
S. Bharadwaj
Soma Biswas
NoLa
139
26
0
13 Oct 2019
Regularized Learning for Domain Adaptation under Label Shifts
Kamyar Azizzadenesheli
Anqi Liu
Fanny Yang
Anima Anandkumar
139
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
430
907
0
14 Jan 2019
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation
Clayton Scott
257
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
193
272
0
21 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Neural Information Processing Systems (NeurIPS), 2018
Bo Han
Quanming Yao
Xingrui Yu
Gang Niu
Miao Xu
Weihua Hu
Ivor Tsang
Masashi Sugiyama
NoLa
421
2,404
0
18 Apr 2018
Optimal Transport for Multi-source Domain Adaptation under Target Shift
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
I. Redko
Nicolas Courty
Rémi Flamary
D. Tuia
OOD
307
158
0
13 Mar 2018
On the Topic of Jets: Disentangling Quarks and Gluons at Colliders
E. Metodiev
Jesse Thaler
317
75
0
31 Jan 2018
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
290
322
0
21 Nov 2017
Decontamination of Mutual Contamination Models
Julian Katz-Samuels
Gilles Blanchard
Clayton Scott
251
25
0
30 Sep 2017
Recovering True Classifier Performance in Positive-Unlabeled Learning
AAAI Conference on Artificial Intelligence (AAAI), 2017
Shantanu Jain
Martha White
P. Radivojac
153
47
0
02 Feb 2017
Class-prior Estimation for Learning from Positive and Unlabeled Data
M. C. D. Plessis
Gang Niu
Masashi Sugiyama
184
171
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
476
1,595
0
13 Sep 2016
Estimating the class prior and posterior from noisy positives and unlabeled data
Neural Information Processing Systems (NeurIPS), 2016
Shantanu Jain
Martha White
P. Radivojac
NoLa
150
128
0
28 Jun 2016
Mixture Proportion Estimation via Kernel Embedding of Distributions
H. G. Ramaswamy
Clayton Scott
Ambuj Tewari
186
217
0
08 Mar 2016
A Mutual Contamination Analysis of Mixed Membership and Partial Label Models
Julian Katz-Samuels
Clayton Scott
193
3
0
19 Feb 2016
Sparse Approximation of a Kernel Mean
Efrén Cruz Cortés
C. Scott
157
20
0
01 Mar 2015
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