Unsupervised Label Noise Modeling and Loss Correction

25 April 2019

Papers citing "Unsupervised Label Noise Modeling and Loss Correction"

50 / 106 papers shown

Title
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records Yuhao Li Ling Luo Uwe Aickelin 26 0 0 12 May 2025
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
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 54 0 0 01 May 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 59 0 0 05 Jan 2025
Semi-Supervised Self-Learning Enhanced Music Emotion Recognition Yifu Sun Xulong Zhang Monan Zhou Wei Li 35 0 0 29 Oct 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 43 4 0 07 May 2024
Why is SAM Robust to Label Noise? Christina Baek Zico Kolter Aditi Raghunathan NoLa AAML 41 9 0 06 May 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
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 48 1 0 28 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
Divide and Adapt: Active Domain Adaptation via Customized Learning Duojun Huang Jichang Li Weikai Chen Jun Steed Huang Z. Chai Guanbin Li 34 25 0 21 Jul 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 16 0 0 14 Jul 2023
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels Yongquan Yang Hong Bu 21 0 0 06 Jul 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
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition Xiang Zhang Yan Lu Huan Yan Jingyang Huang Yusheng Ji Yu Gu 28 3 0 29 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 32 14 0 28 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 29 21 0 24 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 23 12 0 22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Self-discipline on multiple channels Jiutian Zhao Liangchen Luo Hao Wang 19 0 0 27 Apr 2023
Noisy Correspondence Learning with Meta Similarity Correction Haocheng Han Kaiyao Miao Qinghua Zheng Minnan Luo 19 28 0 13 Apr 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
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya-Qin Zhang Ivor W. Tsang NoLa BDL 25 8 0 19 Feb 2023
Balanced Audiovisual Dataset for Imbalance Analysis Wenke Xia Xu Zhao Xincheng Pang Changqing Zhang Di Hu 26 1 0 14 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 33 27 0 14 Feb 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 17 5 0 18 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 47 8 0 02 Jan 2023
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia Xuhong Li Lei Yu Jiang Bian Penghao Zhao Shupeng Li Haoyi Xiong Dejing Dou NoLa 22 5 0 19 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 18 7 0 03 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 24 5 0 02 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
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Bernard Ghanem NoLa 13 0 0 29 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 from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou W. Wang NoLa 19 2 0 20 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 25 13 0 02 Nov 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 26 13 0 13 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 30 2 0 02 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
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 29 6 0 23 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 13 2 0 17 Aug 2022
Unsupervised Learning under Latent Label Shift Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 41 9 0 26 Jul 2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition Yuhang Zhang Chengrui Wang Xu Ling Weihong Deng 25 136 0 21 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei-Yue Wang NoLa 23 43 0 12 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 11 44 0 02 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
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 23 9 0 04 Jun 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors Jianfei Yang Xiangyu Peng K. Wang Zheng Hua Zhu Jiashi Feng Lihua Xie Yang You 24 27 0 28 May 2022