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2104.15092
Cited By
Faster Meta Update Strategy for Noise-Robust Deep Learning
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"
38 / 38 papers shown
Title
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
54
0
0
22 Feb 2025
Combating Label Noise With A General Surrogate Model For Sample Selection
Chao Liang
Linchao Zhu
Humphrey Shi
Yi Yang
VLM
NoLa
39
2
0
31 Dec 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
VLM
27
1
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
38
0
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
36
0
0
08 Jul 2024
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
Shenwang Jiang
Jianan Li
Ying Wang
Wenxuan Wu
Jizhou Zhang
Bo Huang
Tingfa Xu
VLM
21
4
0
22 Jan 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations
Hansong Zhang
Shikun Li
Dan Zeng
Chenggang Yan
Shiming Ge
22
13
0
12 Dec 2023
Interactive Reweighting for Mitigating Label Quality Issues
Weikai Yang
Yukai Guo
Jing Wu
Zheng Wang
Lan-Zhe Guo
Yu-Feng Li
Shixia Liu
23
5
0
08 Dec 2023
Learning to Complement with Multiple Humans
Zheng Zhang
Cuong C. Nguyen
Kevin Wells
Thanh-Toan Do
Gustavo Carneiro
16
0
0
22 Nov 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise
Fahimeh Fooladgar
Minh Nguyen Nhat To
P. Mousavi
Purang Abolmaesumi
NoLa
24
4
0
13 Aug 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning
Fengbei Liu
Chong Wang
Yuanhong Chen
Yuyuan Liu
G. Carneiro
NoLa
25
1
0
02 Aug 2023
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
28
1
0
31 May 2023
Enhanced Meta Label Correction for Coping with Label Corruption
Mitchell Keren Taraday
Chaim Baskin
34
0
0
22 May 2023
Self-Distillation with Meta Learning for Knowledge Graph Completion
Yunshui Li
Junhao Liu
Chengming Li
Min Yang
8
5
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
23
10
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
17
2
0
20 Mar 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier
Yuanpeng Tu
Boshen Zhang
Yuxi Li
Liang Liu
Jian Li
Yabiao Wang
Chengjie Wang
C. Zhao
NoLa
28
27
0
14 Feb 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach
Cuong C. Nguyen
Thanh-Toan Do
G. Carneiro
NoLa
15
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
42
0
0
01 Jan 2023
Dynamic Loss For Robust Learning
Shenwang Jiang
Jianan Li
Jizhou Zhang
Ying Wang
Tingfa Xu
NoLa
OOD
15
6
0
22 Nov 2022
Learning advisor networks for noisy image classification
Simone Ricci
Tiberio Uricchio
A. Bimbo
NoLa
26
0
0
08 Nov 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
22
21
0
12 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
Paul Albert
Eric Arazo
Tarun Kirshna
Noel E. O'Connor
Kevin McGuinness
NoLa
16
14
0
10 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
29
27
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
13
1
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
G. Carneiro
13
2
0
17 Aug 2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets
Paul Albert
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
16
8
0
04 Jul 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques
RD Samsung
20
0
0
26 Feb 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
Yuyin Zhou
Xianhang Li
Fengze Liu
Qingyue Wei
Xuxi Chen
Lequan Yu
Cihang Xie
M. Lungren
Lei Xing
NoLa
32
3
0
09 Feb 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Shenwang Jiang
Jianan Li
Ying Wang
Bo Huang
Zhang Zhang
Tingfa Xu
NoLa
18
31
0
30 Dec 2021
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
Dat T. Huynh
Jason Kuen
Zhe-nan Lin
Jiuxiang Gu
Ehsan Elhamifar
ISeg
VLM
17
83
0
24 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
NoLa
19
18
0
22 Nov 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
14
18
0
22 Oct 2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Yong Cheng
Wei Wang
Lu Jiang
Wolfgang Macherey
21
17
0
08 Jun 2021
Regularizing Generative Adversarial Networks under Limited Data
Hung-Yu Tseng
Lu Jiang
Ce Liu
Ming-Hsuan Yang
Weilong Yang
GAN
19
142
0
07 Apr 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment
F. Cordeiro
Ragav Sachdeva
Vasileios Belagiannis
Ian Reid
G. Carneiro
NoLa
11
77
0
06 Mar 2021
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
494
0
05 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
240
780
0
05 Dec 2019
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