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  3. 2003.02752
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Combating noisy labels by agreement: A joint training method with
  co-regularization
v1v2v3 (latest)

Combating noisy labels by agreement: A joint training method with co-regularization

5 March 2020
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Combating noisy labels by agreement: A joint training method with co-regularization"

50 / 280 papers shown
Title
Tackling Noisy Labels with Network Parameter Additive Decomposition
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
65
9
0
20 Mar 2024
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized
  Visual Class Discovery
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery
Haiyang Zheng
Nan Pu
Wenjing Li
N. Sebe
Zhun Zhong
91
7
0
12 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy
  Label Learning
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
Heesun Bae
Seungjae Shin
Byeonghu Na
Il-Chul Moon
NoLa
91
3
0
05 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution
  with Label Refurbishment Considering Label Rarity
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
Ying-Hsuan Wu
Jun-Wei Hsieh
Li Xin
Shin-You Teng
Yi-Kuan Hsieh
Ming-Ching Chang
NoLa
124
0
0
04 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks
SURE: SUrvey REcipes for building reliable and robust deep networks
Yuting Li
Yingyi Chen
Xuanlong Yu
Dexiong Chen
Xi Shen
UQCVOOD
77
4
0
01 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive
  Representation Learning
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
Xiaoyu Liu
Beitong Zhou
Cheng Cheng
73
3
0
27 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
76
5
0
20 Feb 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample
  Selection
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
Huafeng Liu
Mengmeng Sheng
Zeren Sun
Yazhou Yao
Xian-Sheng Hua
Jikang Cheng
NoLa
58
6
0
17 Feb 2024
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels
Qinglai Wei
Lei Feng
Haobo Wang
Bo An
NoLa
78
1
0
24 Jan 2024
P2Seg: Pointly-supervised Segmentation via Mutual Distillation
P2Seg: Pointly-supervised Segmentation via Mutual Distillation
Zipeng Wang
Xuehui Yu
Xumeng Han
Wenwen Yu
Zhixun Huang
Jianbin Jiao
Zhenjun Han
64
0
0
18 Jan 2024
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
Wei Tao
Yucheng Zhou
Yanlin Wang
Hongyu Zhang
Haofen Wang
Wenqiang Zhang
58
13
0
16 Jan 2024
How does self-supervised pretraining improve robustness against noisy
  labels across various medical image classification datasets?
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Cristian A. Linte
NoLa
43
1
0
15 Jan 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic
  Dimensionality Guidance
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance
Dongyu Zhang
Ruofan Hu
Elke A. Rundensteiner
72
0
0
10 Jan 2024
Learning with Noisy Labels: Interconnection of Two
  Expectation-Maximizations
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations
Heewon Kim
Hyun Sung Chang
Kiho Cho
Jaeyun Lee
Bohyung Han
NoLa
53
3
0
09 Jan 2024
Sample selection with noise rate estimation in noise learning of medical
  image analysis
Sample selection with noise rate estimation in noise learning of medical image analysis
Maolin Li
G. Tarroni
OOD
62
0
0
23 Dec 2023
Federated Learning with Instance-Dependent Noisy Label
Federated Learning with Instance-Dependent Noisy Label
Lei Wang
Jieming Bian
Jie Xu
FedML
85
11
0
16 Dec 2023
Adaptive Integration of Partial Label Learning and Negative Learning for
  Enhanced Noisy Label Learning
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
Mengmeng Sheng
Zeren Sun
Zhenhuang Cai
Tao Chen
Yichao Zhou
Yazhou Yao
75
17
0
15 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise
  Tolerance
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
Ling-Hao Chen
Yuanshuo Zhang
Taohua Huang
Liangcai Su
Zeyi Lin
Xi Xiao
Xiaobo Xia
Tongliang Liu
NoLa
109
9
0
13 Dec 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with
  Noisy Labels
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
Wanxing Chang
Ye-ling Shi
Jingya Wang
OT
79
12
0
11 Dec 2023
Overcoming Label Noise for Source-free Unsupervised Video Domain
  Adaptation
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation
A. Dasgupta
C. V. Jawahar
Karteek Alahari
TTAVLM
95
10
0
30 Nov 2023
Unmasking and Improving Data Credibility: A Study with Datasets for
  Training Harmless Language Models
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Zhaowei Zhu
Jialu Wang
Hao Cheng
Yang Liu
82
20
0
19 Nov 2023
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
Shuzheng Si
Shuzheng Si
Haozhe Zhao
Shuang Zeng
Kaikai An
Zefan Cai
Baobao Chang
NoLa
93
3
0
14 Nov 2023
Resist Label Noise with PGM for Graph Neural Networks
Resist Label Noise with PGM for Graph Neural Networks
Qingqing Ge
Jianxiang Yu
Zeyuan Zhao
Xiang Li
NoLaAAML
61
0
0
03 Nov 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External
  Guidance
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
Song Wang
Zhen Tan
Ruocheng Guo
Wenlin Yao
NoLa
63
23
0
02 Nov 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling
  Accuracy
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy
Dongmin Park
Seola Choi
Doyoung Kim
Hwanjun Song
Jae-Gil Lee
NoLa
125
22
0
02 Nov 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced
  Transfer Learning
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
Yihua Zhang
Yimeng Zhang
Aochuan Chen
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
104
9
0
13 Oct 2023
ASM: Adaptive Sample Mining for In-The-Wild Facial Expression
  Recognition
ASM: Adaptive Sample Mining for In-The-Wild Facial Expression Recognition
Ziyang Zhang
Xiao Sun
Liuwei An
Meng Wang
74
2
0
09 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity
  metrics
Quantifying and mitigating the impact of label errors on model disparity metrics
Julius Adebayo
Melissa Hall
Bowen Yu
Bobbie Chern
63
11
0
04 Oct 2023
Learning with Noisy Labels for Human Fall Events Classification: Joint
  Cooperative Training with Trinity Networks
Learning with Noisy Labels for Human Fall Events Classification: Joint Cooperative Training with Trinity Networks
Leiyu Xie
Yang Sun
S. M. Naqvi
NoLa
38
0
0
27 Sep 2023
Towards Robust Few-shot Point Cloud Semantic Segmentation
Towards Robust Few-shot Point Cloud Semantic Segmentation
Yating Xu
Na Zhao
Gim Hee Lee
3DPC
51
3
0
20 Sep 2023
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal
  Retrieval
Dual-view Curricular Optimal Transport for Cross-lingual Cross-modal Retrieval
Yabing Wang
Shuhui Wang
Hao Luo
Jianfeng Dong
F. Wang
Meng Han
Xun Wang
Meng Wang
76
9
0
11 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels
Regularly Truncated M-estimators for Learning with Noisy Labels
Xiaobo Xia
Pengqian Lu
Chen Gong
Bo Han
Jun-chen Yu
Jun Yu
Tongliang Liu
NoLa
90
13
0
02 Sep 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
65
13
0
26 Aug 2023
Improving Medical Image Classification in Noisy Labels Using Only
  Self-supervised Pretraining
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Cristian A. Linte
NoLa
91
8
0
08 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
82
1
0
02 Aug 2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging
Federated Learning for Data and Model Heterogeneity in Medical Imaging
Hussain Ahmad Madni
Rao Muhammad Umer
G. Foresti
FedML
76
5
0
31 Jul 2023
Training-based Model Refinement and Representation Disagreement for
  Semi-Supervised Object Detection
Training-based Model Refinement and Representation Disagreement for Semi-Supervised Object Detection
S. M. Marvasti-Zadeh
Nilanjan Ray
Nadir Erbilgin
83
1
0
25 Jul 2023
Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised
  Audio-Visual Video Parsing
Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing
Jie Fu
Junyu Gao
Changsheng Xu
106
9
0
05 Jul 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy
  Labels
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyan Hu
Shipeng Yan
Zhitong Gao
Xuming He
NoLa
82
5
0
20 Jun 2023
Label-noise-tolerant medical image classification via self-attention and
  self-supervised learning
Label-noise-tolerant medical image classification via self-attention and self-supervised learning
Hongyang Jiang
Mengdi Gao
Yan Hu
Qi Ren
Zhaoheng Xie
Jiang-Dong Liu
NoLa
67
4
0
16 Jun 2023
Partial-Label Regression
Partial-Label Regression
Xin Cheng
Deng-Bao Wang
Lei Feng
Min-Ling Zhang
Bo An
33
2
0
15 Jun 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost
  Free of Supervision
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision
Yuhao Wu
Xiaobo Xia
Jun Yu
Bo Han
Gang Niu
Masashi Sugiyama
Tongliang Liu
85
3
0
12 Jun 2023
Binary Classification with Instance and Label Dependent Label Noise
Binary Classification with Instance and Label Dependent Label Noise
H. Im
Paul Grigas
NoLa
100
2
0
06 Jun 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative
  Modeling
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Yuchen Zhuang
Yue Yu
Lingkai Kong
Xiang Chen
Chao Zhang
NoLaSyDaAI4CE
93
13
0
30 May 2023
ReSup: Reliable Label Noise Suppression for Facial Expression
  Recognition
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition
Xiang Zhang
Yan Lu
Huan Yan
Jingyang Huang
Yusheng Ji
Yu Gu
82
3
0
29 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
Qin Liu
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
99
23
0
24 May 2023
Mitigating Label Noise through Data Ambiguation
Mitigating Label Noise through Data Ambiguation
Julian Lienen
Eyke Hüllermeier
NoLa
64
7
0
23 May 2023
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual
  Recognition
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition
Haiqi Liu
Chong Chen
Xinrong Gong
Tong Zhang
77
12
0
12 May 2023
A Survey on the Robustness of Computer Vision Models against Common
  Corruptions
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OODVLM
121
14
0
10 May 2023
Multi-Granularity Denoising and Bidirectional Alignment for Weakly
  Supervised Semantic Segmentation
Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation
Tao Chen
Yazhou Yao
Jinhui Tang
72
32
0
09 May 2023
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