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DivideMix: Learning with Noisy Labels as Semi-supervised Learning

DivideMix: Learning with Noisy Labels as Semi-supervised Learning

18 February 2020
Junnan Li
R. Socher
S. Hoi
    NoLa
ArXivPDFHTML

Papers citing "DivideMix: Learning with Noisy Labels as Semi-supervised Learning"

50 / 166 papers shown
Title
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
Yuhao Li
Ling Luo
Uwe Aickelin
26
0
0
12 May 2025
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression
Chunlai Dong
Haochao Ying
Qibo Qiu
Jinhong Wang
D. Z. Chen
J. Wu
41
0
0
09 May 2025
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs
Hari Chandana Kuchibhotla
Sai Srinivas Kancheti
Abbavaram Gowtham Reddy
Vineeth N. Balasubramanian
45
0
0
02 May 2025
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang
Chengliang Chai
Jingzhe Xu
Chi Zhang
Ye Yuan
Guoren Wang
Lei Cao
NoLa
54
0
0
01 May 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data
Weiran Pan
Wei Wei
Feida Zhu
Yong Deng
NoLa
139
0
0
24 Apr 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Bo Yuan
Yulin Chen
Yin Zhang
Wei Jiang
NoLa
30
6
0
03 Apr 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai
Lehong Wang
Fangzhou Lin
Yidong Wang
Zhigang Li
Kazunori D Yamada
Ziming Zhang
Wang Lu
125
0
0
21 Mar 2025
ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning
ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning
Quanxing Zha
Xin Liu
Shu-Juan Peng
Y. Cheung
X. Xu
Nannan Wang
45
0
0
13 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
52
0
0
25 Feb 2025
Towards Robust Incremental Learning under Ambiguous Supervision
Towards Robust Incremental Learning under Ambiguous Supervision
Rui Wang
Mingxuan Xia
Chang Yao
Lei Feng
Junbo Zhao
Gang Chen
Haobo Wang
CLL
132
0
0
23 Jan 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Zhipeng Yu
Qianqian Xu
Yangbangyan Jiang
Yingfei Sun
Qingming Huang
NoLa
69
0
0
19 Jan 2025
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
Quan Zhang
Yuxin Qi
Xi Tang
Rui Yuan
Xi Lin
K. Zhang
Chun Yuan
NoLa
81
1
0
19 Jan 2025
Knowledge Distillation with Adapted Weight
Sirong Wu
Xi Luo
Junjie Liu
Yuhui Deng
40
0
0
06 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise
Jingyi Cui
Yi-Ge Zhang
Hengyu Liu
Yisen Wang
NoLa
43
0
0
03 Jan 2025
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Y. Liu
Feng Zheng
Lizhuang Ma
UQCV
46
1
0
30 Dec 2024
Learning Causal Transition Matrix for Instance-dependent Label Noise
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li
Tai-wei Chang
Kun Kuang
Ximing Li
Long Chen
Jun Zhou
NoLa
CML
172
0
0
18 Dec 2024
Combating Semantic Contamination in Learning with Label Noise
Combating Semantic Contamination in Learning with Label Noise
Wenxiao Fan
Kan Li
NoLa
172
0
0
16 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
143
0
0
01 Dec 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
Yuxin Xiao
Shujian Zhang
Wenxuan Zhou
Marzyeh Ghassemi
Sanqiang Zhao
100
0
0
07 Oct 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks
Anita Eisenburger
Daniel Otten
Anselm Hudde
F. Hopfgartner
NoLa
42
1
0
13 Sep 2024
An Embedding is Worth a Thousand Noisy Labels
An Embedding is Worth a Thousand Noisy Labels
Francesco Di Salvo
Sebastian Doerrich
Ines Rieger
Christian Ledig
NoLa
71
0
0
26 Aug 2024
Meta-Learning Guided Label Noise Distillation for Robust Signal
  Modulation Classification
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification
Xiaoyang Hao
Zhixi Feng
Tongqing Peng
Shuyuan Yang
NoLa
38
5
0
09 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
Mengting Li
Chuang Zhu
34
0
0
07 Aug 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
46
1
0
17 Jun 2024
Rethinking the impact of noisy labels in graph classification: A utility
  and privacy perspective
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective
De Li
Xianxian Li
Zeming Gan
Qiyu Li
Bin Qu
Jinyan Wang
NoLa
40
1
0
11 Jun 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begum Demir
Begüm Demir
37
1
0
22 May 2024
Effective and Robust Adversarial Training against Data and Label
  Corruptions
Effective and Robust Adversarial Training against Data and Label Corruptions
Pengfei Zhang
Zi Huang
Xin-Shun Xu
Guangdong Bai
43
4
0
07 May 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
Junlin Hou
Jilan Xu
Rui Feng
Hao Chen
23
0
0
08 Apr 2024
Camera-aware Label Refinement for Unsupervised Person Re-identification
Camera-aware Label Refinement for Unsupervised Person Re-identification
Pengna Li
Kangyi Wu
Wenli Huang
Sanping Zhou
Jinjun Wang
29
0
0
25 Mar 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in
  Information Extraction
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
Jianwei Wang
Tianyin Wang
Ziqian Zeng
48
1
0
28 Feb 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy
  Labels
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
Jichang Li
Guanbin Li
Hui Cheng
Zicheng Liao
Yizhou Yu
FedML
27
14
0
19 Dec 2023
Training on Synthetic Data Beats Real Data in Multimodal Relation
  Extraction
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction
Zilin Du
Haoxin Li
Xu Guo
Boyang Li
29
1
0
05 Dec 2023
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent
  Vector Representation
Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation
Qiyu Wei
Wei Zhao
Xiaoyan Zheng
Zeng Zeng
18
6
0
06 Oct 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for
  Consistent Semi-supervised Medical Image Segmentation
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Ziling Lu
Mengkang Lu
Yong-quan Xia
26
4
0
26 Sep 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image
  Classification
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang
Jiawei Wu
Tao Wang
Zuoyong Li
Anastasia Ioannou
OOD
31
5
0
29 Jul 2023
Divide and Adapt: Active Domain Adaptation via Customized Learning
Divide and Adapt: Active Domain Adaptation via Customized Learning
Duojun Huang
Jichang Li
Weikai Chen
Jun Steed Huang
Z. Chai
Guanbin Li
34
25
0
21 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction
  Approach
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
Jiacheng Yao
Yikai Zhang
Songzhu Zheng
Mayank Goswami
Prateek Prasanna
Chao Chen
33
15
0
21 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label
  Non-conformity in Web Images Via a New Generalized KL Divergence
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence
Xia Huang
Kai Fong Ernest Chong
42
2
0
19 Jul 2023
Omnipotent Adversarial Training in the Wild
Omnipotent Adversarial Training in the Wild
Guanlin Li
Kangjie Chen
Yuan Xu
Han Qiu
Tianwei Zhang
16
0
0
14 Jul 2023
Robust Feature Learning Against Noisy Labels
Robust Feature Learning Against Noisy Labels
Tsung-Ming Tai
Yun-Jie Jhang
Wen-Jyi Hwang
NoLa
18
1
0
10 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
19
4
0
20 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
40
7
0
20 Jun 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely
  Annotated Training Data
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
Qingyu Tan
Lu Xu
Lidong Bing
Hwee Tou Ng
13
4
0
16 Jun 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
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
28
3
0
29 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise
  Learning
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning
Jingfeng Zhang
Bo Song
Haohan Wang
Bo Han
Tongliang Liu
Lei Liu
Masashi Sugiyama
AAML
NoLa
32
14
0
28 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
29
21
0
24 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
23
12
0
22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
28
4
0
13 May 2023
Noisy Correspondence Learning with Meta Similarity Correction
Noisy Correspondence Learning with Meta Similarity Correction
Haocheng Han
Kaiyao Miao
Qinghua Zheng
Minnan Luo
19
28
0
13 Apr 2023
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