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Faster Meta Update Strategy for Noise-Robust Deep Learning

Faster Meta Update Strategy for Noise-Robust Deep Learning

30 April 2021
Youjiang Xu
Linchao Zhu
Lu Jiang
Yi Yang
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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