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2104.15092
Cited By
Faster Meta Update Strategy for Noise-Robust Deep Learning
Computer Vision and Pattern Recognition (CVPR), 2021
30 April 2021
Youjiang Xu
Linchao Zhu
Lu Jiang
Yi Yang
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Papers citing
"Faster Meta Update Strategy for Noise-Robust Deep Learning"
40 / 40 papers shown
Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
Jiasen Zheng
Huajun Zhang
Xu Yan
Ran Hao
Chong Peng
189
7
0
31 Oct 2025
Curvature Learning for Generalization of Hyperbolic Neural Networks
International Journal of Computer Vision (IJCV), 2025
Xiaomeng Fan
Yuwei Wu
Zhi Gao
Mehrtash Harandi
Yunde Jia
357
3
0
24 Aug 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
365
1
0
22 Feb 2025
Combating Label Noise With A General Surrogate Model For Sample Selection
International Journal of Computer Vision (IJCV), 2023
Chao Liang
Linchao Zhu
Humphrey Shi
Yi Yang
VLM
NoLa
365
7
0
31 Dec 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP
ACM Multimedia (MM), 2024
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
VLM
566
22
0
19 Aug 2024
Learning to Complement and to Defer to Multiple Users
Zheng Zhang
Wenjie Ai
Kevin Wells
David Rosewarne
Thanh-Toan Do
Gustavo Carneiro
285
8
0
09 Jul 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets
Paul Albert
Jack Valmadre
Eric Arazo
Tarun Krishna
Noel E. O'Connor
Kevin McGuinness
AAML
294
1
0
08 Jul 2024
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Shenwang Jiang
Jianan Li
Ying Wang
Wenxuan Wu
Jizhou Zhang
Bo Huang
Tingfa Xu
VLM
295
6
0
22 Jan 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
AAAI Conference on Artificial Intelligence (AAAI), 2023
Hansong Zhang
Shikun Li
Dan Zeng
Chenggang Yan
Shiming Ge
391
23
0
12 Dec 2023
Interactive Reweighting for Mitigating Label Quality Issues
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Weikai Yang
Yukai Guo
Jing Wu
Zheng Wang
Lan-Zhe Guo
Yu-Feng Li
Shixia Liu
256
15
0
08 Dec 2023
Learning to Complement with Multiple Humans
Pattern Recognition (Pattern Recogn.), 2023
Zheng Zhang
Cuong C. Nguyen
Kevin Wells
Thanh-Toan Do
Gustavo Carneiro
399
4
0
22 Nov 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
Fahimeh Fooladgar
Minh-Son To
P. Mousavi
Purang Abolmaesumi
NoLa
299
15
0
13 Aug 2023
Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation
Fengbei Liu
Chong Wang
Yuanhong Chen
Yuyuan Liu
G. Carneiro
NoLa
488
1
0
02 Aug 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
368
6
0
31 May 2023
Enhanced Meta Label Correction for Coping with Label Corruption
IEEE International Conference on Computer Vision (ICCV), 2023
Mitchell Keren Taraday
Chaim Baskin
442
10
0
22 May 2023
Self-Distillation with Meta Learning for Knowledge Graph Completion
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yunshui Li
Junhao Liu
Chengming Li
Min Yang
289
10
0
20 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models
Qiufeng Wang
Xu Yang
Shuxia Lin
Jing Wang
Xin Geng
260
21
0
03 May 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
321
5
0
20 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
368
44
0
14 Feb 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
NoLa
479
0
0
04 Jan 2023
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning
Fengbei Liu
Yuanhong Chen
Chong Wang
Yu-Ching Tain
G. Carneiro
NoLa
399
1
0
01 Jan 2023
Dynamic Loss For Robust Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shenwang Jiang
Jianan Li
Jizhou Zhang
Ying Wang
Tingfa Xu
NoLa
OOD
393
14
0
22 Nov 2022
Learning advisor networks for noisy image classification
International Conference on Image Analysis and Processing (ICIAP), 2022
Simone Ricci
Tiberio Uricchio
Marco Bertini
NoLa
120
0
0
08 Nov 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
USENIX Security Symposium (USENIX Security), 2022
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
224
24
0
12 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Paul Albert
Eric Arazo
Tarun Kirshna
Noel E. O'Connor
Kevin McGuinness
NoLa
308
17
0
10 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
263
43
0
02 Sep 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
Xianghang Liu
Bartlomiej Twardowski
Tri Kurniawan Wijaya
FedML
266
3
0
30 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
D. Hoang
Cuong C. Nguyen
Cuong Nguyen anh Belagiannis Vasileios
Thanh-Toan Do
G. Carneiro
473
2
0
17 Aug 2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets
European Conference on Computer Vision (ECCV), 2022
Paul Albert
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
246
10
0
04 Jul 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques
RD Samsung
168
0
0
26 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
324
17
0
09 Feb 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
AAAI Conference on Artificial Intelligence (AAAI), 2021
Shenwang Jiang
Jianan Li
Ying Wang
Bo Huang
Zhang Zhang
Tingfa Xu
NoLa
180
47
0
30 Dec 2021
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
Dat T. Huynh
Jason Kuen
Zhe Lin
Jiuxiang Gu
Ehsan Elhamifar
ISeg
VLM
333
108
0
24 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
NoLa
315
21
0
22 Nov 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
British Machine Vision Conference (BMVC), 2021
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
218
23
0
22 Oct 2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
International Conference on Machine Learning (ICML), 2021
Yong Cheng
Wei Wang
Lu Jiang
Wolfgang Macherey
265
19
0
08 Jun 2021
Regularizing Generative Adversarial Networks under Limited Data
Computer Vision and Pattern Recognition (CVPR), 2021
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
311
173
0
07 Apr 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
Pattern Recognition (Pattern Recogn.), 2021
Ragav Sachdeva
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
394
46
0
21 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
Pattern Recognition (Pattern Recogn.), 2021
F. Cordeiro
Ragav Sachdeva
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
404
107
0
06 Mar 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
NoLa
1.1K
661
0
05 Mar 2020
1
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