UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning

28 March 2022

Nazanin Rahnavard

Papers citing "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

50 / 55 papers shown

Title
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 49 0 0 01 May 2025
Exploring Video-Based Driver Activity Recognition under Noisy Labels Linjuan Fan Di Wen Kunyu Peng Kailun Yang J. Zhang ... Yufan Chen Junwei Zheng Jiamin Wu Xudong Han Rainer Stiefelhagen NoLa 47 0 0 16 Apr 2025
Active Learning with a Noisy Annotator Netta Shafir Guy Hacohen D. Weinshall 23 0 0 06 Apr 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 49 0 0 25 Feb 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 66 0 0 19 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 35 0 0 03 Jan 2025
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 11 2 0 29 Sep 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 19 1 0 19 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 32 1 0 31 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 12 0 0 10 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 21 0 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 22 0 0 18 Jun 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 30 1 0 11 Jun 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 27 4 0 07 May 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation Sihan Bai Sanpin Zhou Zheng Qin Le Wang Nanning Zheng NoLa 19 0 0 16 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 23 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 18 0 0 08 Apr 2024
Coordinated Sparse Recovery of Label Noise Yukun Yang Naihao Wang Haixin Yang Ruirui Li NoLa 16 0 0 07 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 30 0 0 05 Apr 2024
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels Haocheng Han Minnan Luo Huan Liu Fang Nan 20 0 0 20 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 29 0 0 04 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning Xiaoyu Liu Beitong Zhou Cheng Cheng 27 2 0 27 Feb 2024
MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition Zheng Lian Licai Sun Yong Ren Hao Gu Haiyang Sun Lan Chen Bin Liu Jianhua Tao 11 12 0 07 Jan 2024
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang Ye-ling Shi Jingya Wang OT 25 12 0 11 Dec 2023
Fine tuning Pre trained Models for Robustness Under Noisy Labels Sumyeong Ahn Sihyeon Kim Jongwoo Ko SeYoung Yun AAML NoLa 14 1 0 24 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 16 2 0 24 Oct 2023
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit Uri Stern Daniel Shwartz D. Weinshall 23 0 0 17 Oct 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 19 11 0 26 Aug 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Fahimeh Fooladgar Minh Nguyen Nhat To P. Mousavi Purang Abolmaesumi NoLa 16 4 0 13 Aug 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning Fengbei Liu Chong Wang Yuanhong Chen Yuyuan Liu G. Carneiro NoLa 12 1 0 02 Aug 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 11 1 0 20 Jun 2023
AutoML Systems For Medical Imaging Tasmia Tahmida Jidney A. Biswas Md Abdullah Al Nasim Ismail Hossain Md. jahangir Alam Sajedul Talukder Mofazzal Hossain Dr. Md Azim Ullah 10 1 0 07 Jun 2023
Introduction to Medical Imaging Informatics Md. Zihad Bin Jahangir Ruksat Hossain Riadul Islam Md Abdullah Al Nasim Md. Mahim Anjum Haque Md. jahangir Alam Sajedul Talukder 13 3 0 01 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 17 7 0 31 May 2023
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning Zheng Lian Haiyang Sun Licai Sun Kang Chen Mingyu Xu ... Meng Wang Erik Cambria Guoying Zhao Björn W. Schuller Jianhua Tao 19 47 0 18 Apr 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data Jang-Hyun Kim Sangdoo Yun Hyun Oh Song 13 18 0 29 Jan 2023
Graph Matching with Bi-level Noisy Correspondence Yijie Lin Mouxing Yang Jun Yu Peng Hu Changqing Zhang Xiaocui Peng 21 30 0 08 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 10 4 0 03 Dec 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Bernard Ghanem NoLa 4 0 0 29 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 15 7 0 21 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 16 2 0 02 Oct 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 28 14 0 21 Aug 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 11 2 0 17 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 30 39 0 04 Aug 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen J. Zhao 9 54 0 21 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 13 6 0 30 Jun 2022
Noise-Tolerant Learning for Audio-Visual Action Recognition Haocheng Han Qinghua Zheng Minnan Luo Kaiyao Miao Feng Tian Yuanchun Chen NoLa 9 7 0 16 May 2022
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 11 18 0 22 Nov 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 4 0 0 14 Jun 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 6 9 0 24 Feb 2021