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Identifiability of Label Noise Transition Matrix
International Conference on Machine Learning (ICML), 2022
4 February 2022
Yang Liu
Hao Cheng
Kun Zhang
NoLa
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Papers citing
"Identifiability of Label Noise Transition Matrix"
31 / 31 papers shown
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Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
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Nimrod Harel
Jacob Goldberger
Ofir Lindenbaum
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354
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19 May 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Siqi Wang
Aoming Liu
Bryan A. Plummer
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338
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03 Apr 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Hanxuan Wang
Na Lu
Xueying Zhao
Yuxuan Yan
Kaipeng Ma
Kwoh Chee Keong
Gustavo Carneiro
NoLa
362
1
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22 Feb 2025
The Majority Vote Paradigm Shift: When Popular Meets Optimal
Antonio Purificato
Maria Sofia Bucarelli
Anil Kumar Nelakanti
Andrea Bacciu
Fabrizio Silvestri
Amin Mantrach
398
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18 Feb 2025
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
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Pierre Nodet
A. Bondu
Vincent Lemaire
VLM
370
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21 Oct 2024
Learning to Complement and to Defer to Multiple Users
Zheng Zhang
Wenjie Ai
Kevin Wells
David Rosewarne
Thanh-Toan Do
Gustavo Carneiro
284
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09 Jul 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification
Hongfei Huang
Tingting Liang
Xixi Sun
Zikang Jin
Yuyu Yin
NoLa
318
1
0
09 Jul 2024
Can We Treat Noisy Labels as Accurate?
Yuxiang Zheng
Zhongyi Han
Yilong Yin
Xin Gao
Tongliang Liu
325
2
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21 May 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition
Jingyi Wang
Xiaobo Xia
Long Lan
Xinghao Wu
Jun-chen Yu
Wenjing Yang
Bo Han
Tongliang Liu
NoLa
298
20
0
20 Mar 2024
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning
European Conference on Computer Vision (ECCV), 2024
Zijun Long
Lipeng Zhuang
George Killick
R. McCreadie
Gerardo Aragon Camarasa
Paul Henderson
NoLa
306
3
0
10 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
Heesun Bae
Seungjae Shin
Byeonghu Na
Il-Chul Moon
NoLa
325
10
0
05 Mar 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
AAAI Conference on Artificial Intelligence (AAAI), 2023
Weisong Yang
Rafael Poyiadzi
Niall Twomey
Raul Santos Rodriguez
273
0
0
15 Dec 2023
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning
Zijun Long
George Killick
Lipeng Zhuang
R. McCreadie
Gerardo Aragon Camarasa
Paul Henderson
317
6
0
25 Nov 2023
Learning to Complement with Multiple Humans
Pattern Recognition (Pattern Recogn.), 2023
Zheng Zhang
Cuong C. Nguyen
Kevin Wells
Thanh-Toan Do
Gustavo Carneiro
389
4
0
22 Nov 2023
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Zhaowei Zhu
Jialu Wang
Hao Cheng
Yang Liu
344
29
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19 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Neural Information Processing Systems (NeurIPS), 2023
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
272
21
0
29 Oct 2023
Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm
Shikun Li
Xiaobo Xia
Han Zhang
Shiming Ge
Tongliang Liu
NoLa
224
0
0
22 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xiaobo Xia
Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
244
19
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02 Sep 2023
Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation
Fengbei Liu
Chong Wang
Yuanhong Chen
Yuyuan Liu
G. Carneiro
NoLa
477
1
0
02 Aug 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
European Conference on Computer Vision (ECCV), 2023
Siqi Wang
Bryan A. Plummer
337
2
0
20 Jun 2023
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shikun Li
Xiaobo Xia
Jiankang Deng
Shiming Ge
Tongliang Liu
353
22
0
05 Jun 2023
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
European Conference on Computer Vision (ECCV), 2023
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
356
6
0
31 May 2023
Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023
Long Peng
T. Wei
Xuehong Chen
Xiaobei Chen
Rui Sun
L. Wan
Jin Chen
Xiaolin Zhu
NoLa
298
5
0
20 May 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Kehui Ding
Jun Shu
Deyu Meng
Zongben Xu
NoLa
302
11
0
18 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
NoLa
476
0
0
04 Jan 2023
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
International Conference on Machine Learning (ICML), 2022
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Zehua Wang
387
27
0
06 Oct 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
International Conference on Machine Learning (ICML), 2022
Zhaowei Zhu
Jialu Wang
Yang Liu
NoLa
271
43
0
02 Feb 2022
Detecting Corrupted Labels Without Training a Model to Predict
International Conference on Machine Learning (ICML), 2021
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
564
83
0
12 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
International Conference on Learning Representations (ICLR), 2021
Zhaowei Zhu
Tianyi Luo
Yang Liu
610
43
0
12 Oct 2021
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
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05 Mar 2020
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