ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.00151
  4. Cited By
Early-Learning Regularization Prevents Memorization of Noisy Labels
v1v2 (latest)

Early-Learning Regularization Prevents Memorization of Noisy Labels

30 June 2020
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Early-Learning Regularization Prevents Memorization of Noisy Labels"

50 / 350 papers shown
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
MANTRA: a Framework for Multi-stage Adaptive Noise TReAtment During Training
ZiXiao Zhao
Fatemeh H. Fard
Jie JW Wu
NoLa
203
0
0
03 Dec 2025
FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
Jiaoyang Li
Jun Fang
Tianhao Gao
Xiaohui Zhang
Zhiyuan Liu
Chao Liu
Pengzhang Liu
Qixia Jiang
719
0
0
26 Nov 2025
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
344
0
0
25 Nov 2025
Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic
Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic
Mostafa Mozafari
F. Wani
Maria Sofia Bucarelli
Fabrizio Silvestri
188
0
0
24 Nov 2025
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
Likang Peng
Chao Su
Wenyuan Wu
Yuan Sun
Dezhong Peng
Xi Peng
Xu Wang
NoLa
329
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
118
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
193
0
0
09 Nov 2025
Decoupled Entropy Minimization
Decoupled Entropy Minimization
Jing Ma
Hanlin Li
Xiang Xiang
138
0
0
05 Nov 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
241
0
0
14 Oct 2025
Robust Learning of Diffusion Models with Extremely Noisy Conditions
Robust Learning of Diffusion Models with Extremely Noisy Conditions
Xin Chen
Gillian Dobbie
Xinyu Wang
Yifan Zhang
D. Wang
Jingfeng Zhang
DiffM
171
0
0
11 Oct 2025
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
Chenying Liu
Gianmarco Perantoni
Lorenzo Bruzzone
Xiao Xiang Zhu
156
0
0
09 Oct 2025
Learning Robust Diffusion Models from Imprecise Supervision
Learning Robust Diffusion Models from Imprecise Supervision
Dong-Dong Wu
Jiacheng Cui
Wei Wang
Zhiqiang She
Masashi Sugiyama
DiffM
393
0
0
03 Oct 2025
Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis
Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis
Kyeongryeol Go
183
0
0
30 Sep 2025
Can VLM Pseudo-Labels Train a Time-Series QA Model That Outperforms the VLM?
Can VLM Pseudo-Labels Train a Time-Series QA Model That Outperforms the VLM?
Takuya Fujimura
Kota Dohi
Natsuo Yamashita
Yohei Kawaguchi
VLM
130
0
0
30 Sep 2025
Segment-to-Act: Label-Noise-Robust Action-Prompted Video Segmentation Towards Embodied Intelligence
Segment-to-Act: Label-Noise-Robust Action-Prompted Video Segmentation Towards Embodied Intelligence
Wenxin Li
Kunyu Peng
Di Wen
Ruiping Liu
Mengfei Duan
Kai Luo
Kailun Yang
VLM
164
1
0
20 Sep 2025
SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing
SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing
Qiuhao Liu
Ling Li
Yao Lu
Qi Xuan
Zhaowei Zhu
Jiaheng Wei
NoLa
382
3
0
14 Sep 2025
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
Make me an Expert: Distilling from Generalist Black-Box Models into Specialized Models for Semantic Segmentation
Yasser Benigmim
Subhankar Roy
Khalid Oublal
Imad Eddine Marouf
S. Essid
Vicky Kalogeiton
Stéphane Lathuilière
190
0
0
30 Aug 2025
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
Dat Nguyen Cong
Hieu Tran Bao
Hoang Thanh-Tung
DiffM
288
2
0
27 Aug 2025
Curvature Learning for Generalization of Hyperbolic Neural Networks
Curvature Learning for Generalization of Hyperbolic Neural NetworksInternational Journal of Computer Vision (IJCV), 2025
Xiaomeng Fan
Yuwei Wu
Zhi Gao
Mehrtash Harandi
Yunde Jia
337
3
0
24 Aug 2025
Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
Yechan Kim
DongHo Yoon
Younkwan Lee
Unse Fatima
Hong Kook Kim
Songjae Lee
Sanga Park
Jeong Ho Park
Seonjong Kang
M. Jeon
VLM
224
1
0
14 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
204
0
0
11 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
272
0
0
11 Aug 2025
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels
Learning to Forget with Information Divergence Reweighted Objectives for Noisy Labels
Jeremiah Birrell
Reza Ebrahimi
NoLa
270
0
0
08 Aug 2025
$ε$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
εεε-Softmax: Approximating One-Hot Vectors for Mitigating Label NoiseNeural Information Processing Systems (NeurIPS), 2025
Jialiang Wang
Xiong Zhou
Deming Zhai
Junjun Jiang
Xiangyang Ji
Xianming Liu
NoLa
359
5
0
04 Aug 2025
Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection
Towards Generalizable Generic Harmful Speech Datasets for Implicit Hate Speech Detection
Saad Almohaimeed
Saleh Almohaimeed
D. Turgut
Ladislau Bölöni
187
0
0
19 Jun 2025
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy LabelsPattern Recognition Letters (Pattern Recogn. Lett.), 2025
Nan Xiang
Lifeng Xing
Dequan Jin
NoLa
303
3
0
03 Jun 2025
On the Role of Label Noise in the Feature Learning Process
On the Role of Label Noise in the Feature Learning Process
Andi Han
Wei Huang
Zhanpeng Zhou
Gang Niu
Wuyang Chen
Junchi Yan
Akiko Takeda
Taiji Suzuki
NoLaMLT
562
5
0
25 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
395
1
0
19 May 2025
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant AnnotationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Yuyang Ding
Dan Qiao
Jilong Li
Jiajie Xu
Pingfu Chao
Xiaofang Zhou
Min Zhang
313
1
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
355
3
0
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
313
8
0
10 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
Fangqiu Yi
Ye Yuan
Guoren Wang
Lei Cao
Lei Cao
NoLa
755
1
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 DataAAAI Conference on Artificial Intelligence (AAAI), 2025
Weiran Pan
Wei Wei
Feida Zhu
Yong Deng
NoLa
1.2K
5
0
24 Apr 2025
Exploring Video-Based Driver Activity Recognition under Noisy Labels
Exploring Video-Based Driver Activity Recognition under Noisy Labels
Linjuan Fan
Di Wen
Kunyu Peng
Kailun Yang
J.N. Zhang
...
Yufan Chen
Junwei Zheng
Jiamin Wu
Xudong Han
Rainer Stiefelhagen
NoLa
420
1
0
16 Apr 2025
Robust Classification with Noisy Labels Based on Posterior Maximization
Robust Classification with Noisy Labels Based on Posterior Maximization
Nicola Novello
Andrea M. Tonello
NoLa
341
3
0
09 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 AssistanceAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Bo Yuan
Yulin Chen
Yin Zhang
Wei Jiang
NoLa
422
25
0
03 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Siqi Wang
Aoming Liu
Bryan A. Plummer
OOD
319
2
0
03 Apr 2025
When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO
When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO
Guang Dai
Chen Liu
C. Xu
Kai Hu
Donghao Luo
Chengjie Wang
Yanwei Fu
Xingtai Lv
302
1
0
21 Mar 2025
Token-Level Uncertainty-Aware Objective for Language Model Post-Training
Token-Level Uncertainty-Aware Objective for Language Model Post-Training
Tingkai Liu
Ari S. Benjamin
Anthony M. Zador
267
1
0
15 Mar 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Chen Shu
Mengke Li
Yiqun Zhang
Yang Lu
Bo Han
Yiu-ming Cheung
Hanzi Wang
NoLa
335
0
0
14 Mar 2025
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationComputer Vision and Pattern Recognition (CVPR), 2025
Lexin Fang
Yunyang Xu
Xiang Ma
Xuemei Li
Caiming Zhang
244
1
0
14 Mar 2025
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
Nannan Wu
Zengqiang Yan
Nong Sang
Li Yu
Chang Wen Chen
260
1
0
13 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
588
8
0
10 Mar 2025
Confidence HNC: A Network Flow Technique for Binary Classification with Noisy Labels
Confidence HNC: A Network Flow Technique for Binary Classification with Noisy LabelsOptimization and Engineering (OE), 2025
Dorit Hochbaum
Torpong Nitayanont
266
0
0
04 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Sample Selection via Contrastive Fragmentation for Noisy Label RegressionNeural Information Processing Systems (NeurIPS), 2025
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
443
1
0
25 Feb 2025
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
348
1
0
22 Feb 2025
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation DataInternational Conference on Learning Representations (ICLR), 2025
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
725
37
0
11 Feb 2025
Efficient Adaptive Label Refinement for Label Noise Learning
Efficient Adaptive Label Refinement for Label Noise Learning
Wenzhen Zhang
Debo Cheng
Guangquan Lu
Bo Zhou
Jiaye Li
Shichao Zhang
NoLa
322
8
0
01 Feb 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 CorrectionAAAI Conference on Artificial Intelligence (AAAI), 2025
Quan Zhang
Yuxin Qi
Xi Tang
Rui Yuan
Xi Lin
Jianchao Tan
Chun Yuan
NoLa
489
10
0
19 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation
Source-free Semantic Regularization Learning for Semi-supervised Domain AdaptationIEEE transactions on multimedia (TMM), 2025
Xinyang Huang
Chuang Zhu
Ruiying Ren
Shengjie Liu
Tiejun Huang
528
3
0
03 Jan 2025
1234567
Next
Page 1 of 7