Twin Contrastive Learning with Noisy Labels

Twin Contrastive Learning with Noisy Labels

13 March 2023

Papers citing "Twin Contrastive Learning with Noisy Labels"

17 / 17 papers shown

Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 73 0 0 03 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 57 0 0 25 Feb 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning Hanxuan Wang Na Lu Xueying Zhao Yuxuan Yan Kaipeng Ma Kwoh Chee Keong Gustavo Carneiro NoLa 59 0 0 22 Feb 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 48 0 0 03 Jan 2025
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 40 1 0 31 Jul 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 43 0 0 08 Jul 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation Sihan Bai Sanpin Zhou Zheng Qin Le Wang Nanning Zheng NoLa 29 0 0 16 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 40 1 0 05 Apr 2024
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence Ruochen Zheng Jiahao Hong Changxin Gao Nong Sang 36 1 0 13 Mar 2024
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning Zijun Long Lipeng Zhuang George Killick R. McCreadie Gerardo Aragon Camarasa Paul Henderson NoLa 30 1 0 10 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning Xiaoyu Liu Beitong Zhou Cheng Cheng 37 3 0 27 Feb 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 26 6 0 17 Feb 2024
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning Zijun Long George Killick Lipeng Zhuang R. McCreadie Gerardo Aragon Camarasa Paul Henderson 30 5 0 25 Nov 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 26 9 0 02 Sep 2023
Cross-head Supervision for Crowd Counting with Noisy Annotations Mingliang Dai Zhizhong Huang Jiaqi Gao Hongming Shan Junping Zhang 21 22 0 16 Mar 2023
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 25 2 0 17 Aug 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 39 3 0 09 Feb 2022