Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation

6 June 2022

De-Chun Cheng

Tongliang Liu

Yixiong Ning

Nannan Wang

Bo Han

Xinbo Gao

Papers citing "Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation"

45 / 45 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 97 0 0 24 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization Siqi Wang Aoming Liu Bryan A. Plummer OOD 36 0 0 03 Apr 2025
GeoT: Geometry-guided Instance-dependent Transition Matrix for Semi-supervised Tooth Point Cloud Segmentation Weihao Yu Xiaoqing Guo Chenxin Li Yifan Liu Yixuan Yuan 38 0 0 21 Mar 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 39 2 0 31 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 75 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
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 34 0 0 07 Aug 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
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification Hongfei Huang Tingting Liang Xixi Sun Zikang Jin Yuyu Yin NoLa 29 1 0 09 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 29 2 0 03 Jul 2024
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification Zehui Liao Shishuai Hu Yong-quan Xia 33 0 0 18 Jun 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning Rui Zhao Bin Shi Jianfei Ruan Tianze Pan Bo Dong NoLa 18 5 0 08 May 2024
Trusted Multi-view Learning with Label Noise Cai Xu Yilin Zhang Ziyu Guan Wei Zhao NoLa EDL 44 4 0 18 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 33 1 0 10 Apr 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
Camera-aware Label Refinement for Unsupervised Person Re-identification Pengna Li Kangyi Wu Wenli Huang Sanping Zhou Jinjun Wang 29 0 0 25 Mar 2024
Diversified and Personalized Multi-rater Medical Image Segmentation Yicheng Wu Xiangde Luo Zhe Xu Xiaoqing Guo Lie Ju Zongyuan Ge Wenjun Liao Jianfei Cai 38 3 0 20 Mar 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua H. Shen NoLa 13 6 0 17 Feb 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
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 27 14 0 19 Dec 2023
Federated Learning with Instance-Dependent Noisy Label Lei Wang Jieming Bian Jie Xu FedML 17 10 0 16 Dec 2023
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood Weisong Yang Rafael Poyiadzi Niall Twomey Raul Santos Rodriguez 16 0 0 15 Dec 2023
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection Siqi Wang Chau Pham Bryan A. Plummer NoLa 23 0 0 30 Nov 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 19 10 0 04 Oct 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning Fengbei Liu Chong Wang Yuanhong Chen Yuyuan Liu G. Carneiro NoLa 25 1 0 02 Aug 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions Wenjie Xuan Shanshan Zhao Yu Yao Juhua Liu Tongliang Liu Yixin Chen Bo Du Dacheng Tao NoLa 26 6 0 26 Jul 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 13 2 0 20 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
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 28 1 0 31 May 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 25 0 0 10 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
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 13 0 0 04 Jan 2023
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning Fengbei Liu Yuanhong Chen Chong Wang Yu-Ching Tain G. Carneiro NoLa 42 0 0 01 Jan 2023
Instance-specific Label Distribution Regularization for Learning with Label Noise Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia NoLa 19 1 0 16 Dec 2022
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification De-Chun Cheng Haichun Tai N. Wang Zhen Wang Xinbo Gao 25 3 0 30 Nov 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 43 10 0 20 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 26 27 0 02 Sep 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 13 6 0 30 Jun 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 17 172 0 08 Mar 2022
Influential Rank: A New Perspective of Post-training for Robust Model against Noisy Labels Seulki Park Hwanjun Song Daeho Um D. Jo Sangdoo Yun J. Choi NoLa 19 0 0 14 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 25 69 0 08 Jun 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 112 120 0 04 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 11 0 0 05 Jan 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 494 0 05 Mar 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 47 172 0 24 May 2019