Error-Bounded Correction of Noisy Labels

19 November 2020

Papers citing "Error-Bounded Correction of Noisy Labels"

50 / 65 papers shown

Title
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images Han Li Hu Han S.Kevin Zhou 73 0 0 24 May 2025
Confident Pseudo-labeled Diffusion Augmentation for Canine Cardiomegaly Detection Shiman Zhang Lakshmikar R. Polamreddy Youshan Zhang MedIm DiffM 129 0 0 13 Jan 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 94 0 0 08 Jan 2025
Distribution-Consistency-Guided Multi-modal Hashing Jin-Yu Liu Xian-Ling Mao Tian-Yi Che Rong-Cheng Tu 500 0 0 15 Dec 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization Hui Guo Grace Y. Yi Boyu Wang NoLa 142 1 0 26 Nov 2024
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning Congyu Qiao Ning Xu Yihao Hu Xin Geng VLM 50 0 0 28 Oct 2024
Fair-OBNC: Correcting Label Noise for Fairer Datasets Ines Oliveira e Silva Sérgio Jesus Hugo Ferreira Pedro Saleiro Inês Sousa P. Bizarro Carlos Soares 69 1 0 08 Oct 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 92 1 0 13 Sep 2024
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels Yangdi Lu Wenbo He NoLa 58 0 0 22 Jun 2024
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 131 2 0 17 Jun 2024
Relation Modeling and Distillation for Learning with Noisy Labels Xiaming Chen Junlin Zhang Zhuang Qi Xin Qi NoLa 105 0 0 30 May 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 66 1 0 10 Apr 2024
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 76 9 0 20 Mar 2024
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning Zijun Long Lipeng Zhuang George Killick R. McCreadie Gerardo Aragon Camarasa Paul Henderson NoLa 63 1 0 10 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning Heesun Bae Seungjae Shin Byeonghu Na Il-Chul Moon NoLa 96 3 0 05 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 111 2 0 04 Mar 2024
Label-Noise Robust Diffusion Models Byeonghu Na Yeongmin Kim Heesun Bae Jung Hyun Lee Seho Kwon Wanmo Kang Il-Chul Moon NoLa DiffM 110 8 0 27 Feb 2024
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels Taehyeon Kim Donggyu Kim SeYoung Yun 47 1 0 08 Feb 2024
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
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning Zijun Long George Killick Lipeng Zhuang R. McCreadie Gerardo Aragon Camarasa Paul Henderson 60 5 0 25 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds Muyang Li Runze Wu Haoyu Liu Jun-chen Yu Xun Yang Bo Han Tongliang Liu 91 17 0 29 Oct 2023
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory Jingyi Zhang Jiaxing Huang Xue-Qiu Jiang Shijian Lu 98 15 0 25 Aug 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 88 15 0 21 Jul 2023
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Jun Yu Bo Han Dadong Wang Tongliang Liu NoLa 90 4 0 11 Jul 2023
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise Donna Tjandra Jenna Wiens NoLa 52 4 0 10 Jul 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Jian Chen Ruiyi Zhang Tong Yu Rohan Sharma Zhiqiang Xu Tong Sun Changyou Chen DiffM 94 21 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 86 14 0 28 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 105 23 0 24 May 2023
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency Shuo Yang Zhaopan Xu Kai Wang Yang You Huanjin Yao Tongliang Liu Min Xu 102 29 0 22 Mar 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning Jiayi Han Longbin Zeng Liang Du Weiyang Ding Jianfeng Feng OOD TTA 75 18 0 15 Jan 2023
NLIP: Noise-robust Language-Image Pre-training Runhu Huang Yanxin Long Jianhua Han Hang Xu Xiwen Liang Chunjing Xu Xiaodan Liang VLM 109 30 0 14 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Yixuan Li VLM NoLa 106 30 0 08 Dec 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 83 23 0 20 Nov 2022
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy Reihaneh Torkzadehmahani Reza Nasirigerdeh Daniel Rueckert Georgios Kaissis NoLa 99 7 0 11 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 92 4 0 11 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification Linxin Song Jieyu Zhang Tianxiang Yang M. Goto 73 4 0 06 Oct 2022
New Metric Formulas that Include Measurement Errors in Machine Learning for Natural Sciences Umberto Michelucci F. Venturini 34 5 0 30 Sep 2022
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training Cheng Xue Lequan Yu Pengfei Chen Qi Dou Pheng-Ann Heng NoLa 66 54 0 10 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 84 40 0 02 May 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model Heesun Bae Seung-Jae Shin Byeonghu Na Joonho Jang Kyungwoo Song Il-Chul Moon NoLa 120 26 0 02 May 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 92 178 0 08 Mar 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 77 109 0 28 Feb 2022
Towards Robust Off-policy Learning for Runtime Uncertainty Da Xu Yuting Ye Chuanwei Ruan Bo Yang OffRL 45 5 0 27 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 92 34 0 11 Feb 2022
Data Consistency for Weakly Supervised Learning Chidubem Arachie Bert Huang NoLa 70 2 0 08 Feb 2022
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection Seong Min Kye Kwanghee Choi Joonyoung Yi Buru Chang NoLa 96 17 0 29 Nov 2021
Breaking the Dilemma of Medical Image-to-image Translation Lingke Kong Chenyu Lian Detian Huang Zhenjiang Li Yanle Hu Qichao Zhou GAN MedIm 118 140 0 13 Oct 2021
Unbiased Loss Functions for Multilabel Classification with Missing Labels Erik Schultheis Rohit Babbar 52 6 0 23 Sep 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 108 30 0 29 Jun 2021
Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image Classification Mengdi Gao Ximeng Feng Mufeng Geng Zhe Jiang Lei Zhu Xiangxi Meng Chuanqing Zhou Qiushi Ren Yanye Lu BDL NoLa 50 6 0 23 Jun 2021