Learning with Neighbor Consistency for Noisy Labels

4 February 2022

Papers citing "Learning with Neighbor Consistency for Noisy Labels"

44 / 44 papers shown

Title
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
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 133 0 0 24 Apr 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 76 0 0 27 Feb 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
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 55 0 0 05 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
Distribution-Consistency-Guided Multi-modal Hashing Jin-Yu Liu Xian-Ling Mao Tian-Yi Che Rong-Cheng Tu 156 0 0 15 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
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
An accurate detection is not all you need to combat label noise in web-noisy datasets Paul Albert Jack Valmadre Eric Arazo Tarun Krishna Noel E. O'Connor Kevin McGuinness AAML 36 0 0 08 Jul 2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction Yangdi Lu Wenbo He 3DV 38 0 0 23 Jun 2024
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading Nathan Stromberg Rohan Ayyagari Sanmi Koyejo Richard Nock Lalitha Sankar 44 0 0 13 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
A Generative Approach for Wikipedia-Scale Visual Entity Recognition Mathilde Caron Ahmet Iscen Alireza Fathi Cordelia Schmid 32 5 0 04 Mar 2024
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains Nathan Stromberg Rohan Ayyagari Monica Welfert Sanmi Koyejo Richard Nock Lalitha Sankar 18 3 0 16 Feb 2024
Regroup Median Loss for Combating Label Noise Fengpeng Li Kemou Li Jinyu Tian Jiantao Zhou NoLa 19 2 0 11 Dec 2023
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection Siqi Wang Chau Pham Bryan A. Plummer NoLa 31 0 0 30 Nov 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 30 1 0 25 Oct 2023
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning Qing Miao Xiaohe Wu Chao Xu Yanli Ji Wangmeng Zuo Yiwen Guo Zhaopeng Meng NoLa 24 2 0 24 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
Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu Na Zhao Gim Hee Lee 3DPC 13 3 0 20 Sep 2023
Variational Self-Supervised Contrastive Learning Using Beta Divergence Mehmet Can Yavuz Berrin Yanikoglu SSL 16 0 0 05 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 18 8 0 02 Sep 2023
URL: Combating Label Noise for Lung Nodule Malignancy Grading Xianze Ai Zehui Liao Yong-quan Xia NoLa 14 2 0 17 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
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
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 26 6 0 23 May 2023
Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement De-Chun Cheng Xiaojian Huang N. Wang Lingfeng He Zhihui Li Xinbo Gao 24 18 0 22 May 2023
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data Ahmet Iscen Alireza Fathi Cordelia Schmid VLM 3DV 28 25 0 11 Apr 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 29 3 0 16 Mar 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 23 0 0 04 Jan 2023
Graph Matching with Bi-level Noisy Correspondence Yijie Lin Mouxing Yang Jun Yu Peng Hu Changqing Zhang Xiaocui Peng 27 32 0 08 Dec 2022
A Flexible Nadaraya-Watson Head Can Offer Explainable and Calibrated Classification Alan Q. Wang M. Sabuncu 30 5 0 07 Dec 2022
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification De-Chun Cheng Haichun Tai N. Wang Zhen Wang Xinbo Gao 27 3 0 30 Nov 2022
Dynamic Loss For Robust Learning Shenwang Jiang Jianan Li Jizhou Zhang Ying Wang Tingfa Xu NoLa OOD 23 6 0 22 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 24 3 0 20 Nov 2022
Learning with Noisy Labels over Imbalanced Subpopulations Mingcai Chen Yu Zhao Bing He Zongbo Han Bingzhe Wu Jianhua Yao 11 8 0 16 Nov 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 13 2 0 17 Aug 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 26 8 0 03 Mar 2022
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 11 10 0 18 Oct 2021
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
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 176 53 0 19 May 2021