Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

18 April 2018

Bo Han

Ivor Tsang

Papers citing "Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels"

50 / 265 papers shown

Title
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records Yuhao Li Ling Luo Uwe Aickelin 17 0 0 12 May 2025
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations Shuaiyi Huang Mara Levy Anubhav Gupta Daniel Ekpo Ruijie Zheng Abhinav Shrivastava 26 0 0 09 May 2025
Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs Hari Chandana Kuchibhotla Sai Srinivas Kancheti Abbavaram Gowtham Reddy Vineeth N. Balasubramanian 45 0 0 02 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 54 0 0 01 May 2025
Beyond the Horizon: Decoupling UAVs Multi-View Action Recognition via Partial Order Transfer Wenxuan Liu X. Zhong Zhuo Zhou S. Yang Chia-Wen Lin Alex Chichung Kot 32 0 0 29 Apr 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 121 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 30 6 0 03 Apr 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 98 0 0 21 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 74 0 0 16 Mar 2025
ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning Quanxing Zha Xin Liu Shu-Juan Peng Y. Cheung X. Xu Nannan Wang 45 0 0 13 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
Learning with Noisy Labels: the Exploration of Error Bounds in Classification Haixia Liu Boxiao Li Can Yang Yang Wang 31 0 0 28 Jan 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels Yaxuan Wang Hao Cheng Jing Xiong Qingsong Wen Han Jia Ruixuan Song L. Zhang Zhaowei Zhu Yang Liu AI4TS 52 1 0 21 Jan 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection Zhipeng Yu Qianqian Xu Yangbangyan Jiang Yingfei Sun Qingming Huang NoLa 69 0 0 19 Jan 2025
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval Shuai Lyu Zijing Tian Zhonghong Ou Yifan Zhu Xiao Zhang Qiankun Ha Haoran Luo Meina Song 37 0 0 19 Jan 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
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 40 0 0 03 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Jun Zhou NoLa CML 151 0 0 18 Dec 2024
Combating Semantic Contamination in Learning with Label Noise Wenxiao Fan Kan Li NoLa 148 0 0 16 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 129 0 0 01 Dec 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 42 1 0 13 Sep 2024
Cloud and IoT based Smart Agent-driven Simulation of Human Gait for Detecting Muscles Disorder Sina Saadati Mohammadreza Razzazi 21 0 0 30 Aug 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 71 0 0 26 Aug 2024
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification Xiaoyang Hao Zhixi Feng Tongqing Peng Shuyuan Yang NoLa 38 5 0 09 Aug 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 38 1 0 31 Jul 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 40 1 0 11 Jun 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion Nicolas Dufour Victor Besnier Vicky Kalogeiton David Picard DiffM 49 2 0 30 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 40 4 0 07 May 2024
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation Chenying Liu C. Albrecht Yi Wang Xiao Xiang Zhu 48 2 0 02 May 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 23 0 0 08 Apr 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 46 1 0 28 Feb 2024
ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning Xiao Yu Jinzhong Zhang Zhou Yu 32 1 0 29 Jan 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 21 2 0 09 Jan 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction Zilin Du Haoxin Li Xu Guo Boyang Li 25 1 0 05 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 15 3 0 01 Dec 2023
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation A. Dasgupta C. V. Jawahar Karteek Alahari TTA VLM 11 10 0 30 Nov 2023
Pseudo-label Correction for Instance-dependent Noise Using Teacher-student Framework Eugene Kim NoLa 25 0 0 24 Nov 2023
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes Sandipan Choudhuri Suli C. Adeniye Arunabha Sen 16 0 0 07 Sep 2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery Hengwei Zhao Xinyu Wang Jingtao Li Yanfei Zhong 29 9 0 29 Aug 2023
Online Continual Learning on Hierarchical Label Expansion Byung Hyun Lee Ok-Cheol Jung Jonghyun Choi S. Chun CLL 17 8 0 28 Aug 2023
DISCO: Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes Donghao Zhou Jialin Li Jinpeng Li Jiancheng Huang Qiang Nie Y. Liu Bin-Bin Gao Qiong Wang Pheng-Ann Heng Guangyong Chen 28 3 0 23 Aug 2023
Large-scale Fully-Unsupervised Re-Identification Gabriel Bertocco Fernanda A. Andaló Terrance E. Boult Anderson de Rezende Rocha 28 1 0 26 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 33 15 0 21 Jul 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 14 0 0 14 Jul 2023
Robust Feature Learning Against Noisy Labels Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang NoLa 11 0 0 10 Jul 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 19 4 0 20 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 24 6 0 15 Jun 2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition Xiang Zhang Yan Lu Huan Yan Jingyang Huang Yusheng Ji Yu Gu 21 3 0 29 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 32 13 0 28 May 2023