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2008.00627
Cited By
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI Conference on Artificial Intelligence (AAAI), 2020
3 August 2020
Yichen Wu
Jun Shu
Qi Xie
Qian Zhao
Deyu Meng
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Papers citing
"Learning to Purify Noisy Labels via Meta Soft Label Corrector"
32 / 32 papers shown
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
Qian Hong
Cheng Bian
Xiao Zhou
Xiaoyu Li
Yelei Li
Zijing Zeng
OOD
AI4TS
390
2
0
26 Nov 2025
Not All Pixels Are Equal: Pixel-wise Meta-Learning for Medical Segmentation with Noisy Labels
Chenyu Mu
Guihai Chen
Xun Yang
Erkun Yang
Cheng Deng
223
0
0
24 Nov 2025
Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
Waqar Ahmad
Evan Murphy
Vladimir A. Krylov
316
0
0
10 Sep 2025
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
Pattern Recognition Letters (Pattern Recogn. Lett.), 2025
Nan Xiang
Lifeng Xing
Dequan Jin
NoLa
311
3
0
03 Jun 2025
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation
Computer Vision and Pattern Recognition (CVPR), 2025
Lexin Fang
Yunyang Xu
Xiang Ma
Xuemei Li
Caiming Zhang
269
1
0
14 Mar 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
364
1
0
22 Feb 2025
Distribution-Consistency-Guided Multi-modal Hashing
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jin-Yu Liu
Xian-Ling Mao
Tian-Yi Che
Rong-Cheng Tu
1.0K
5
0
15 Dec 2024
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis
Sijie Mai
Yu Zhao
Ying Zeng
Jianhua Yao
Haifeng Hu
371
4
0
28 Aug 2024
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
Dong Zhao
Shuang Wang
Qi Zang
Licheng Jiao
Andrii Zadaianchuk
Zhun Zhong
275
12
0
10 Jun 2024
Pairwise Similarity Distribution Clustering for Noisy Label Learning
Sihan Bai
NoLa
339
0
0
02 Apr 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance
SDM (SDM), 2024
Dongyu Zhang
Ruofan Hu
Elke A. Rundensteiner
328
0
0
10 Jan 2024
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
377
7
0
25 Oct 2023
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise
ACM Conference on Health, Inference, and Learning (CHIL), 2023
Donna Tjandra
Jenna Wiens
NoLa
300
6
0
10 Jul 2023
Mitigating Label Noise through Data Ambiguation
AAAI Conference on Artificial Intelligence (AAAI), 2023
Julian Lienen
Eyke Hüllermeier
NoLa
328
14
0
23 May 2023
Enhanced Meta Label Correction for Coping with Label Corruption
IEEE International Conference on Computer Vision (ICCV), 2023
Mitchell Keren Taraday
Chaim Baskin
441
10
0
22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
378
5
0
13 May 2023
Multi-task Meta Label Correction for Time Series Prediction
Pattern Recognition (Pattern Recogn.), 2023
Luxuan Yang
Ting Gao
Wei Wei
Min Dai
Cheng Fang
Jinqiao Duan
AI4TS
495
7
0
09 Mar 2023
Fine-Grained Classification with Noisy Labels
Computer Vision and Pattern Recognition (CVPR), 2023
Qinglai Wei
Lei Feng
Haoliang Sun
Ren Wang
Chenhui Guo
Yilong Yin
NoLa
439
41
0
04 Mar 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier
Computer Vision and Pattern Recognition (CVPR), 2023
Yuanpeng Tu
Boshen Zhang
Yuxi Li
Liang Liu
Jian Li
Yabiao Wang
Chengjie Wang
C. Zhao
NoLa
367
44
0
14 Feb 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
Computer Vision and Pattern Recognition (CVPR), 2023
Yuanpeng Tu
Boshen Zhang
Yuxi Li
Liang Liu
Jian Li
Jiangning Zhang
Yabiao Wang
Chengjie Wang
C. Zhao
AAML
NoLa
281
28
0
14 Feb 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
12
0
18 Jan 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
International Conference on Machine Learning (ICML), 2022
Jianguo Huang
Huiping Zhuang
Renchunzi Xie
Lei Feng
Gang Niu
Bo An
Shouqing Yang
VLM
NoLa
538
51
0
08 Dec 2022
Class-Level Logit Perturbation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Mengyang Li
Fengguang Su
O. Wu
Tianjin University
AAML
404
8
0
13 Sep 2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization
European Conference on Computer Vision (ECCV), 2022
Qinglai Wei
Haoliang Sun
Xiankai Lu
Yilong Yin
NoLa
227
60
0
24 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen Ma
Zixuan Liu
Xue Liu
633
46
0
24 Jul 2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Kaidi Wang
Xiang Peng
Shuo Yang
Jianfei Yang
Zheng Hua Zhu
Xinchao Wang
Yang You
NoLa
314
9
0
30 Apr 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
NoLa
337
64
0
11 Feb 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
Computer Vision and Pattern Recognition (CVPR), 2022
Yuyin Zhou
Xianhang Li
Fengze Liu
Qingyue Wei
Xuxi Chen
Ziqiang Li
Cihang Xie
M. Lungren
Lei Xing
NoLa
322
17
0
09 Feb 2022
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Seong Min Kye
Kwanghee Choi
Joonyoung Yi
Buru Chang
NoLa
396
27
0
29 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels
Haoliang Sun
Chenhui Guo
Qinglai Wei
Zhongyi Han
Yilong Yin
NoLa
352
43
0
08 Nov 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
382
13
0
06 Jul 2021
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
Zhuowei Wang
Jing Jiang
Bo Han
Lei Feng
Bo An
Gang Niu
Guodong Long
NoLa
245
18
0
02 Dec 2020
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