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Learning from Noisy Labels with Deep Neural Networks: A Survey
v1v2v3v4v5v6v7 (latest)

Learning from Noisy Labels with Deep Neural Networks: A Survey

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
16 July 2020
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
    NoLa
ArXiv (abs)PDFHTMLGithub (561★)

Papers citing "Learning from Noisy Labels with Deep Neural Networks: A Survey"

50 / 491 papers shown
Is Supervised Learning Really That Different from Unsupervised?
Is Supervised Learning Really That Different from Unsupervised?
Oskar Allerbo
Thomas B. Schön
OODSSLUQCV
661
0
0
30 Mar 2026
Pre-train to Gain: Robust Learning Without Clean Labels
Pre-train to Gain: Robust Learning Without Clean Labels
David Szczecina
Nicholas Pellegrino
Paul Fieguth
NoLa
352
0
0
25 Nov 2025
Effects of Initialization Biases on Deep Neural Network Training Dynamics
Effects of Initialization Biases on Deep Neural Network Training Dynamics
Nicholas Pellegrino
David Szczecina
Paul Fieguth
AI4CE
291
0
0
25 Nov 2025
Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
Wenzhang Du
NoLa
310
0
0
21 Nov 2025
Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
Nicholas Pellegrino
David Szczecina
Paul Fieguth
NoLa
391
0
0
20 Nov 2025
Uncertainty-Resilient Multimodal Learning via Consistency-Guided Cross-Modal Transfer
Uncertainty-Resilient Multimodal Learning via Consistency-Guided Cross-Modal Transfer
Hyo-Jeong Jang
137
0
0
18 Nov 2025
Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels
Zero-Shot Grammar Competency Estimation Using Large Language Model Generated Pseudo Labels
Sourya Dipta Das
Shubham Kumar
Kuldeep Yadav
139
0
0
17 Nov 2025
CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
Rochana R. Obadage
Sarah M. Rajtmajer
Jian Wu
152
0
0
11 Nov 2025
LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping
LandSegmenter: Towards a Flexible Foundation Model for Land Use and Land Cover Mapping
Chenying Liu
Wei Huang
Xiao Xiang Zhu
121
0
0
11 Nov 2025
Local K-Similarity Constraint for Federated Learning with Label Noise
Local K-Similarity Constraint for Federated Learning with Label Noise
Sanskar Amgain
Prashant Shrestha
Bidur Khanal
Alina Devkota
Yash Raj Shrestha
Seungryul Baek
P. Gyawali
Binod Bhattarai
FedML
198
0
0
09 Nov 2025
Learning from Interval Targets
Learning from Interval Targets
Rattana Pukdee
Ziqi Ke
Chirag Gupta
OOD
234
0
0
23 Oct 2025
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena
Jasmine R. Kobayashi
Daniela Martin
Valmir P Moraes Filho
Connor O'Brien
Jinsu Hong
...
Sairam Sundaresan
A. Jungbluth
Andrés Muñoz-Jaramillo
Evangelia Samara
Joseph Gallego
142
0
0
23 Oct 2025
Benchmarking noisy label detection methods
Benchmarking noisy label detection methods
Henrique Pickler
Jorge K. S. Kamassury
Danilo Silva
NoLa
276
0
0
17 Oct 2025
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Yiming Zhang
Chester Holtz
Gal Mishne
A. Cloninger
NoLa
242
0
0
14 Oct 2025
Diagnosing and Mitigating System Bias in Self-Rewarding RL
Diagnosing and Mitigating System Bias in Self-Rewarding RL
Chuyi Tan
Peiwen Yuan
Xinglin Wang
Yiwei Li
Shaoxiong Feng
...
Jiayi Shi
Ji Zhang
Boyuan Pan
Yao Hu
Kan Li
150
0
0
10 Oct 2025
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Emilio Estevan
María Sierra-Torralba
Eduardo López-Larraz
Luis Montesano
235
1
0
09 Oct 2025
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data
Feng Hong
Yu Huang
Zihua Zhao
Zhihan Zhou
Jiangchao Yao
Dongsheng Li
Y. Zhang
Y. Wang
246
2
0
09 Oct 2025
How Well Can Preference Optimization Generalize Under Noisy Feedback?
How Well Can Preference Optimization Generalize Under Noisy Feedback?
Shawn Im
Yixuan Li
290
2
0
01 Oct 2025
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
Xin-Qiang Cai
Wei Wang
Feng Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
OffRLAAML
373
12
0
01 Oct 2025
Reliable End-to-End Material Information Extraction from the Literature with Source-Tracked Multi-Stage Large Language Models
Reliable End-to-End Material Information Extraction from the Literature with Source-Tracked Multi-Stage Large Language Models
Xin Wang
Anshu Raj
Matthew Luebbe
Haiming Wen
Shuozhi Xu
K. Lu
AI4TS
118
2
0
01 Oct 2025
Generative AI for Misalignment-Resistant Virtual Staining to Accelerate Histopathology Workflows
Generative AI for Misalignment-Resistant Virtual Staining to Accelerate Histopathology Workflows
Jiabo Ma
Wenqiang Li
Jinbang Li
Ziyi Liu
Linshan Wu
Fengtao Zhou
Li Liang
R. Chan
T. Wong
Hao Chen
199
3
0
17 Sep 2025
MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables
MatSKRAFT: A framework for large-scale materials knowledge extraction from scientific tables
Kausik Hira
Mohd Zaki
Mausam Mausam
N. M. A. Krishnan
LMTD
216
1
0
12 Sep 2025
Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
Waqar Ahmad
Evan Murphy
Vladimir A. Krylov
313
0
0
10 Sep 2025
Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition
Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition
Tarhib Al Azad
Shahana Ibrahim
OODD
287
0
0
08 Sep 2025
Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
Alireza Sedighi Moghaddam
Mohammad Reza Mohammadi
257
0
0
02 Sep 2025
Combating Noisy Labels via Dynamic Connection Masking
Combating Noisy Labels via Dynamic Connection Masking
Xinlei Zhang
Fan Liu
Chuanyi Zhang
Fan Cheng
Yuhui Zheng
NoLa
428
1
0
13 Aug 2025
Detecting Mislabeled and Corrupted Data via Pointwise Mutual Information
Detecting Mislabeled and Corrupted Data via Pointwise Mutual Information
Jinghan Yang
Jiayu Weng
NoLa
276
0
0
11 Aug 2025
Collaborative Learning of Scattering and Deep Features for SAR Target Recognition with Noisy Labels
Collaborative Learning of Scattering and Deep Features for SAR Target Recognition with Noisy Labels
Yimin Fu
Zhunga Liu
Dongxiu Guo
Longfei Wang
209
0
0
11 Aug 2025
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
Sarina Penquitt
Jonathan Klees
Rinor Cakaj
Daniel Kondermann
Matthias Rottmann
Lars Schmarje
200
2
0
06 Aug 2025
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
Multi-class Image Anomaly Detection for Practical Applications: Requirements and Robust Solutions
Jaehyuk Heo
Pilsung Kang
VLM
205
1
0
04 Aug 2025
Effort-Optimized, Accuracy-Driven Labelling and Validation of Test Inputs for DL Systems: A Mixed-Integer Linear Programming Approach
Effort-Optimized, Accuracy-Driven Labelling and Validation of Test Inputs for DL Systems: A Mixed-Integer Linear Programming Approach
Mohammad Hossein Amini
M. Sabetzadeh
S. Nejati
AAMLVLM
267
0
0
07 Jul 2025
Reliable Few-shot Learning under Dual Noises
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Ji Zhang
Jingkuan Song
Lianli Gao
Andrii Zadaianchuk
Heng Tao Shen
NoLa
403
17
0
19 Jun 2025
MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound Reconstruction
MoNetV2: Enhanced Motion Network for Freehand 3D Ultrasound ReconstructionIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Mingyuan Luo
Xin Yang
Zhongnuo Yan
Yan Cao
Yuanji Zhang
...
Jin Wang
Haoxuan Ding
Wei Han
Litao Sun
Dong Ni
166
3
0
16 Jun 2025
Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
Sara Rajaram
R. J. Cotton
Fabian H. Sinz
229
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0
14 Jun 2025
A Comparative Analysis of Influence Signals for Data Debugging
A Comparative Analysis of Influence Signals for Data Debugging
Nikolaos Myrtakis
Ioannis Tsamardinos
V. Christophides
TDI
359
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0
13 Jun 2025
Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question Answering
Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question AnsweringIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Adam Ishay
Zhun Yang
Joohyung Lee
Ilgu Kang
Dongjae Lim
NAI
334
1
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12 Jun 2025
SAFE: Finding Sparse and Flat Minima to Improve Pruning
SAFE: Finding Sparse and Flat Minima to Improve Pruning
Dongyeop Lee
Kwanhee Lee
Jinseok Chung
Namhoon Lee
391
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07 Jun 2025
Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE
Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE
Zhaokun Wang
Jinyu Guo
Jingwen Pu
Lingfeng Chen
Hongli Pu
Jie Ou.Libo Qin
Libo Qin
Wenhong Tian
AAML
372
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0
29 May 2025
Learning from M-Tuple Dominant Positive and Unlabeled Data
Learning from M-Tuple Dominant Positive and Unlabeled Data
Jiahe Qin
Junpeng Li
Changchun Hua
Yana Yang
248
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0
25 May 2025
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Han Li
Hu Han
S.Kevin Zhou
332
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0
24 May 2025
Enhancing Training Data Attribution with Representational Optimization
Enhancing Training Data Attribution with Representational Optimization
W. Sun
Haokun Liu
Nikhil Kandpal
Colin Raffel
Yiming Yang
TDI
552
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24 May 2025
Collaborative Unlabeled Data Optimization
Collaborative Unlabeled Data Optimization
Xinyi Shang
Peng Sun
Fengyuan Liu
Tao Lin
372
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0
20 May 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Chuanxing Geng
Qifei Li
Xinrui Wang
Dong Liang
Songcan Chen
Pong C. Yuen
397
1
0
19 May 2025
Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels
Yuval Grinberg
Nimrod Harel
Jacob Goldberger
Ofir Lindenbaum
NoLa
354
1
0
19 May 2025
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Quanjiang Guo
Jinchuan Zhang
Sijie Wang
Ling Tian
Zhao Kang
Bin Yan
Weidong Xiao
390
6
0
18 May 2025
Revealing economic facts: LLMs know more than they say
Revealing economic facts: LLMs know more than they say
Marcus Buckmann
Quynh Anh Nguyen
Edward Hill
358
3
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13 May 2025
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
Xuefeng Jiang
Jia Li
Nannan Wu
Z. F. Wu
Xujing Li
Sheng Sun
Gang Xu
Longji Xu
Qi Li
Min Liu
FedML
321
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10 May 2025
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with DemonstrationsIEEE International Conference on Robotics and Automation (ICRA), 2025
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Mara Levy
Anubhav Gupta
Daniel Ekpo
Ruijie Zheng
Abhinav Shrivastava
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Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
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Chengliang Chai
Jingzhe Xu
Fangqiu Yi
Ye Yuan
Guoren Wang
Lei Cao
Lei Cao
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767
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A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions
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Jie Gui
Minjing Dong
Baosheng Yu
Zhipeng Gui
Lu Dong
Yuan Yan Tang
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