Papers citing 'Meta Soft Label Generation for Noisy Labels'

Title
Curvature Learning for Generalization of Hyperbolic Neural NetworksInternational Journal of Computer Vision (IJCV), 2025 Xiaomeng Fan Yuwei Wu Zhi Gao Mehrtash Harandi Yunde Jia 156 2 0 24 Aug 2025
Robust Testing for Deep Learning using Human Label NoiseWorkshop on Deep Learning for Testing and Testing for Deep Learning (LTTDL), 2024 Gordon Lim Stefan Larson Kevin Leach NoLa 231 0 0 29 Nov 2024
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis Sijie Mai Yu Zhao Ying Zeng Jianhua Yao Haifeng Hu 269 4 0 28 Aug 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning Huiling Qin Xianyuan Zhan Yuanxun Li Yu Zheng 173 0 0 28 Dec 2023
Enhanced Meta Label Correction for Coping with Label CorruptionIEEE International Conference on Computer Vision (ICCV), 2023 Mitchell Keren Taraday Chaim Baskin 274 5 0 22 May 2023
Learning from Noisy Labels with Decoupled Meta Label PurifierComputer Vision and Pattern Recognition (CVPR), 2023 Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 277 35 0 14 Feb 2023
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 201 3 0 12 Dec 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment AgricultureACM Computing Surveys (ACM CSUR), 2022 Jiayun Luo Boyang Albert Li Cyril Leung 286 21 0 20 Oct 2022
CNTN: Cyclic Noise-tolerant Network for Gait Recognition Weichen Yu Hongyuan Yu Yan Huang Chunshui Cao Liang Wang NoLa 134 3 0 13 Oct 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios Thanh-Toan Do G. Carneiro 337 2 0 17 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 393 44 0 24 Jul 2022
Deep Learning with Label Noise: A Hierarchical Approach Li-Wei Chen Ningyuan Huang Cong Mu Hayden S. Helm Kate Lytvynets Weiwei Yang Carey E. Priebe NoLa 125 1 0 28 May 2022
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseComputer Vision and Pattern Recognition (CVPR), 2022 Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 177 10 0 09 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 322 7 0 07 Feb 2022
Generalized Data Weighting via Class-level Gradient ManipulationNeural Information Processing Systems (NeurIPS), 2021 Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 253 25 0 29 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy LabelsBritish Machine Vision Conference (BMVC), 2021 F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 149 19 0 22 Oct 2021
Breaking the Dilemma of Medical Image-to-image Translation Lingke Kong Chenyu Lian Detian Huang Zhenjiang Li Yanle Hu Qichao Zhou GAN MedIm 301 179 0 13 Oct 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering Chang-rui Liu Han Yu Boyang Albert Li Zhiqi Shen Zhanning Gao Peiran Ren Xuansong Xie Li-zhen Cui Chunyan Miao NoLa 192 0 0 03 Aug 2021
kNet: A Deep kNN Network To Handle Label Noise Itzik Mizrahi S. Avidan NoLa 103 0 0 20 Jul 2021
Noise-resistant Deep Metric Learning with Ranking-based Instance SelectionComputer Vision and Pattern Recognition (CVPR), 2021 Chang-rui Liu Han Yu Boyang Albert Li Zhiqi Shen Zhanning Gao Peiran Ren Xuansong Xie Li-zhen Cui Chunyan Miao NoLa 264 39 0 30 Mar 2021
MetaLabelNet: Learning to Generate Soft-Labels from Noisy-LabelsIEEE Transactions on Image Processing (TIP), 2021 G. Algan ilkay Ulusoy NoLa 153 13 0 19 Mar 2021
Deep Learning from Small Amount of Medical Data with Noisy Labels: A Meta-Learning Approach G. Algan ilkay Ulusoy Şaban Gönül Banu Turgut B. Bakbak NoLa 212 4 0 14 Oct 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A SurveyKnowledge-Based Systems (KBS), 2019 G. Algan ilkay Ulusoy NoLa VLM 273 360 0 11 Dec 2019