A Topological Filter for Learning with Label Noise

9 December 2020

Papers citing "A Topological Filter for Learning with Label Noise"

50 / 68 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 145 0 0 24 Apr 2025
Active Learning with a Noisy Annotator Netta Shafir Guy Hacohen D. Weinshall 33 0 0 06 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 54 0 0 25 Feb 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 175 0 0 18 Dec 2024
Generalizable Person Re-identification via Balancing Alignment and Uniformity Y. Cho JaeYoon Kim Woo Jae Kim Junsik Jung Sung-eui Yoon CVBM OOD 80 0 0 18 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
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 27 1 0 19 Aug 2024
LEMoN: Label Error Detection using Multimodal Neighbors Haoran Zhang Aparna Balagopalan Nassim Oufattole Hyewon Jeong Yan Wu Jiacheng Zhu Marzyeh Ghassemi 44 0 0 10 Jul 2024
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label Kangye Ji Fei Cheng Zeqing Wang Bohu Huang NoLa 39 0 0 27 May 2024
Can We Treat Noisy Labels as Accurate? Yuxiang Zheng Zhongyi Han Yilong Yin Xin Gao Tongliang Liu 25 1 0 21 May 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation Sihan Bai Sanpin Zhou Zheng Qin Le Wang Nanning Zheng NoLa 27 0 0 16 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 40 1 0 05 Apr 2024
AFreeCA: Annotation-Free Counting for All Adrian dÁlessandro Ali Mahdavi-Amiri Ghassan Hamarneh DiffM 35 2 0 07 Mar 2024
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 30 9 0 13 Dec 2023
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection Siqi Wang Chau Pham Bryan A. Plummer NoLa 36 0 0 30 Nov 2023
BatchNorm-based Weakly Supervised Video Anomaly Detection Yixuan Zhou Yi Qu Xing Xu Fumin Shen Jingkuan Song Hengtao Shen 20 18 0 26 Nov 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy Dongmin Park Seola Choi Doyoung Kim Hwanjun Song Jae-Gil Lee NoLa 60 20 0 02 Nov 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise Yao Cheng Caihua Shan Yifei Shen Xiang Li Siqiang Luo Dongsheng Li 22 6 0 25 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Yulei Qin Xingyu Chen Yunhang Shen Chaoyou Fu Yun Gu Ke Li Xing Sun Rongrong Ji 29 3 0 15 Oct 2023
Improving classifier decision boundaries using nearest neighbors Johannes Schneider AAML 28 0 0 05 Oct 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 32 11 0 26 Aug 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels Mingcai Chen Yuntao Du Wei Tang Baoming Zhang Hao Cheng Shuwei Qian Chongjun Wang NoLa 14 1 0 31 Jul 2023
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective Renyu Zhu Haoyu Liu Runze Wu Min-Hsien Lin Tangjie Lv Changjie Fan Haobo Wang NoLa 19 1 0 28 Jul 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 20 2 0 20 Jun 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
A Gradient-based Approach for Online Robust Deep Neural Network Training with Noisy Labels Yifan Yang Alec Koppel Zheng-Wei Zhang NoLa 23 3 0 08 Jun 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 25 17 0 31 May 2023
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition Tingting Ma Qianhui Wu Huiqiang Jiang Börje F. Karlsson T. Zhao Chin-Yew Lin 21 4 0 24 May 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 17 2 0 20 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 31 3 0 16 Mar 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 19 5 0 18 Jan 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning Jiayi Han Longbin Zeng Liang Du Weiyang Ding Jianfeng Feng OOD TTA 19 13 0 15 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 52 8 0 02 Jan 2023
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos Zixiao Wang Junwu Weng C. Yuan Jue Wang NoLa 22 4 0 27 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 36 1 0 20 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 26 2 0 01 Dec 2022
Learning with Noisy Labels over Imbalanced Subpopulations Mingcai Chen Yu Zhao Bing He Zongbo Han Bingzhe Wu Jianhua Yao 19 8 0 16 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 33 8 0 21 Oct 2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training Dan Qiao Chenchen Dai Yuyang Ding Juntao Li Qiang Chen Wenliang Chen M. Zhang VLM NoLa 34 8 0 10 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 37 27 0 20 Sep 2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 27 29 0 05 Aug 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 17 22 0 27 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 15 6 0 30 Jun 2022
On the Convergence of Optimizing Persistent-Homology-Based Losses Yikai Zhang Jiacheng Yao Yusu Wang Chao Chen 13 1 0 06 Jun 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 31 23 0 15 Mar 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Yuanhong Chen Fengbei Liu Hu Wang Chong Wang Yu Tian Yuyuan Liu G. Carneiro NoLa 29 8 0 03 Mar 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 28 75 0 04 Feb 2022
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise Mingcai Chen Hao Cheng Yuntao Du Ming Xu Wenyu Jiang Chongjun Wang NoLa 14 25 0 06 Dec 2021
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen Chuang Zhu Yi Chen Mengting Li Tiejun Huang NoLa 11 11 0 02 Dec 2021