Early-Learning Regularization Prevents Memorization of Noisy Labels

30 June 2020

Sheng Liu

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

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Title
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data Chuanxing Geng Qifei Li Xinrui Wang Dong Liang Songcan Chen Pong C. Yuen 17 0 0 19 May 2025
Revealing economic facts: LLMs know more than they say Marcus Buckmann Quynh Anh Nguyen Edward Hill 33 0 0 13 May 2025
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 66 0 0 01 May 2025
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 250 0 0 24 Apr 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 40 6 0 03 Apr 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 61 0 0 25 Feb 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 104 18 0 11 Feb 2025
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 Kaipeng Zhang Chun Yuan NoLa 91 1 0 19 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 52 2 0 31 Dec 2024
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels Qingyao Tian Zhen Chen Huai Liao Xinyan Huang Lujie Li Sebastien Ourselin Hongbin Liu 113 1 0 09 Sep 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 75 0 0 26 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 44 0 0 07 Aug 2024
Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss Guang Yang Yu Zhou Xiang Chen Xiangyu Zhang Terry Yue Zhuo David Lo Taolue Chen AAML 59 4 0 12 Jul 2024
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels Guozhang Liu Ting Liu Mengke Yuan Tao Pang Guangxing Yang Hao Fu Tao Wang Tongkui Liao NoLa 34 1 0 15 May 2024
Why is SAM Robust to Label Noise? Christina Baek Zico Kolter Aditi Raghunathan NoLa AAML 43 9 0 06 May 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 28 2 0 09 Jan 2024
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks Hao Chen Jindong Wang Ankit Shah Ran Tao Hongxin Wei Berfin cSimcsek Masashi Sugiyama Bhiksha Raj 44 26 0 29 Sep 2023
Channel-Wise Contrastive Learning for Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Tongliang Liu NoLa 47 0 0 14 Aug 2023
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines A. Jaus C. Seibold Kelsey Hermann Alexandra Walter K. Giske Johannes Haubold Jens Kleesiek Rainer Stiefelhagen 44 19 0 25 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 41 15 0 21 Jul 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 31 4 0 20 Jun 2023
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 41 1 0 31 May 2023
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 39 14 0 28 May 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 32 7 0 23 May 2023
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 45 12 0 22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 35 4 0 13 May 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation Nazmul Karim Niluthpol Chowdhury Mithun Abhinav Rajvanshi Han-Pang Chiu S. Samarasekera Nazanin Rahnavard TTA 23 56 0 30 Mar 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 42 6 0 22 Mar 2023
Dynamics-Aware Loss for Learning with Label Noise Xiu-Chuan Li Xiaobo Xia Fei Zhu Tongliang Liu Xu-Yao Zhang Cheng-Lin Liu NoLa AI4CE 35 6 0 21 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Twin Contrastive Learning with Noisy Labels Zhizhong Huang Junping Zhang Hongming Shan NoLa 14 53 0 13 Mar 2023
Over-training with Mixup May Hurt Generalization Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao NoLa 34 11 0 02 Mar 2023
DSD $^2$ : Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu Enzo Tartaglione 37 7 0 02 Mar 2023
Investigating Multi-source Active Learning for Natural Language Inference Ard Snijders Douwe Kiela Katerina Margatina 26 7 0 14 Feb 2023
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 49 27 0 14 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles Ling A. McLeod Boyu Wang 25 39 0 31 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 38 5 0 18 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 49 9 0 12 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 42 0 0 04 Jan 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 30 19 0 23 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 39 4 0 08 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 20 7 0 03 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 30 29 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 33 2 0 01 Dec 2022
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification De Cheng Haichun Tai N. Wang Zhen Wang Xinbo Gao 32 3 0 30 Nov 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Guohao Li NoLa 23 0 0 29 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 44 20 0 20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 28 3 0 20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou Wei Wang NoLa 24 2 0 20 Nov 2022
Why the pseudo label based semi-supervised learning algorithm is effective? Zeping Min Qian Ge Cheng Tai MLT 34 4 0 18 Nov 2022