Combating noisy labels by agreement: A joint training method with co-regularization

5 March 2020

Papers citing "Combating noisy labels by agreement: A joint training method with co-regularization"

50 / 245 papers shown

Title
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
Segmentation with Noisy Labels via Spatially Correlated Distributions Ryu Tadokoro Tsukasa Takagi Shin-ichi Maeda 24 0 0 21 Apr 2025
Robust Classification with Noisy Labels Based on Posterior Maximization Nicola Novello Andrea M. Tonello NoLa 50 0 0 09 Apr 2025
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation Sheng Lian Dengfeng Pan Jianlong Cai Guang-Yong Chen Zhun Zhong Zhiming Luo Shen Zhao Shuo Li 36 0 0 04 Apr 2025
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 63 0 0 14 Mar 2025
Learning from Noisy Labels with Contrastive Co-Transformer Yan Han S. Roy Mehrtash Harandi L. Petersson NoLa 74 0 0 04 Mar 2025
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
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 61 0 0 12 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 44 0 0 08 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 44 2 0 31 Dec 2024
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Jun Zhou NoLa CML 175 0 0 18 Dec 2024
Combating Semantic Contamination in Learning with Label Noise Wenxiao Fan Kan Li NoLa 172 0 0 16 Dec 2024
Optimized Gradient Clipping for Noisy Label Learning Xichen Ye Yifan Wu Weizhong Zhang Xiaoqiang Li Yifan Chen Cheng Jin NoLa 82 0 0 12 Dec 2024
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise Yeonguk Yu Minhwan Ko Sungho Shin Kangmin Kim K. Lee NoLa 79 1 0 29 Nov 2024
Federated Learning Client Pruning for Noisy Labels Mahdi Morafah Hojin Chang C. L. P. Chen Bill Lin 42 1 0 11 Nov 2024
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 33 1 0 03 Nov 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels Shumpei Takezaki Kiyohito Tanaka S. Uchida NoLa 20 0 0 29 Oct 2024
When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections Keryan Chelouche Marie Lachaize Marine Bernard Louise Olgiati Remi Cuingnet NoLa 19 0 0 10 Oct 2024
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future Long Chen Yuzhi Huang Junyu Dong Qi Xu Sam Kwong Huimin Lu Huchuan Lu Chongyi Li 31 2 0 08 Oct 2024
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification Jinghao Shi Xiang Shen Kaili Zhao Xuedong Wang Vera Wen Zixuan Wang Yifan Wu Zhixin Zhang 21 0 0 03 Oct 2024
Vision-Language Models are Strong Noisy Label Detectors Tong Wei H. Li Chun-Shu Li Jiang-Xin Shi Yu-Feng Li Min-Ling Zhang VLM 21 2 0 29 Sep 2024
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels Monica Millunzi Lorenzo Bonicelli Angelo Porrello Jacopo Credi Petter N. Kolm Simone Calderara CLL 36 2 0 26 Aug 2024
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags Shunsuke Kubo Shinnosuke Matsuo D. Suehiro Kazuhiro Terada Hiroaki Ito Akihiko Yoshizawa Ryoma Bise 19 0 0 26 Aug 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 73 0 0 26 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Minghao Liu Zonglin Di Jiaheng Wei Zhongruo Wang Hengxiang Zhang ... Haobo Wang Lei Feng Jindong Wang James Davis Yang Liu 34 4 0 21 Aug 2024
Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence Xiaoyu Tan Bin Li Xihe Qiu Jingjing Huang Yinghui Xu Wei Chu NoLa 24 0 0 24 Jul 2024
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning Beibei Li Yiyuan Zheng Beihong Jin Tao Xiang Haobo Wang Lei Feng 25 0 0 21 Jul 2024
Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving Yuqi Dai Jian-jun Sun Shengbo Eben Li Qing Xu Jianqiang Wang Lei He Keqiang Li 32 2 0 17 Jul 2024
Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction Po-Hsuan Huang Chia-Ching Lin Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen NoLa 16 0 0 10 Jul 2024
Robust Learning under Hybrid Noise Yang Wei Shuo Chen Shanshan Ye Bo Han Chen Gong NoLa 25 1 0 04 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 31 2 0 03 Jul 2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction Yangdi Lu Wenbo He 3DV 38 0 0 23 Jun 2024
Are we there yet? A brief survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges Jaeyong Kang Dorien Herremans 35 3 0 13 Jun 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise Zhonghao Wang Danyu Sun Sheng Zhou Haobo Wang Jiapei Fan Longtao Huang Jiajun Bu NoLa 25 0 0 06 Jun 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models Hao Chen Yujin Han Diganta Misra Xiang Li Kai Hu Difan Zou Masashi Sugiyama Jindong Wang Bhiksha Raj DiffM 47 5 0 30 May 2024
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label Kangye Ji Fei Cheng Zeqing Wang Bohu Huang NoLa 37 0 0 27 May 2024
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization Jiawei Zhang Jiahe Li Xiaohan Yu Lei Huang Lin Gu Jin Zheng Xiao Bai 41 22 0 20 May 2024
Targeted Augmentation for Low-Resource Event Extraction Sijia Wang Lifu Huang 30 1 0 14 May 2024
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillation Yujing Liu Zongqian Wu Zhengyu Lu Ci Nie Guoqiu Wen Ping Hu Xiaofeng Zhu 37 1 0 27 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 26 1 0 25 Apr 2024
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation Mattia Litrico Davide Talon S. Battiato Alessio Del Bue M. Giuffrida Pietro Morerio UQCV 30 0 0 16 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 40 1 0 05 Apr 2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning Xinyuan Ji Zhaowei Zhu Wei Xi Olga Gadyatskaya Zilong Song Yong Cai Yang Liu FedML 40 7 0 25 Mar 2024
Group Benefits Instances Selection for Data Purification Zhenhuang Cai Chuanyi Zhang Dan Huang Yuanbo Chen Xiuyun Guan Yazhou Yao NoLa 45 0 0 23 Mar 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 30 7 0 20 Mar 2024
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery Haiyang Zheng Nan Pu Wenjing Li N. Sebe Zhun Zhong 43 7 0 12 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning Heesun Bae Seungjae Shin Byeonghu Na Il-Chul Moon NoLa 33 3 0 05 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity Ying-Hsuan Wu Jun-Wei Hsieh Li Xin Shin-You Teng Yi-Kuan Hsieh Ming-Ching Chang NoLa 44 0 0 04 Mar 2024
SURE: SUrvey REcipes for building reliable and robust deep networks Yuting Li Yingyi Chen Xuanlong Yu Dexiong Chen Xi Shen UQCV OOD 36 4 0 01 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning Xiaoyu Liu Beitong Zhou Cheng Cheng 32 3 0 27 Feb 2024