Learning with Noisy Labels via Sparse Regularization

31 July 2021

Papers citing "Learning with Noisy Labels via Sparse Regularization"

31 / 31 papers shown

Title
LapSum -- One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection Łukasz Struski Michał B. Bednarczyk Igor T. Podolak Jacek Tabor BDL 55 0 0 08 Mar 2025
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 34 0 0 07 Aug 2024
$Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization$ Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization Hao Wang Xiangyu Yang Yichen Zhu 34 0 0 24 Jul 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 38 1 0 11 Jun 2024
Beyond MOS: Subjective Image Quality Score Preprocessing Method Based on Perceptual Similarity Lei Wang Desen Yuan 25 2 0 30 Apr 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition Jingyi Wang Xiaobo Xia Long Lan Xinghao Wu Jun-chen Yu Wenjing Yang Bo Han Tongliang Liu NoLa 24 7 0 20 Mar 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 13 6 0 17 Feb 2024
Sample selection with noise rate estimation in noise learning of medical image analysis Maolin Li G. Tarroni OOD 24 0 0 23 Dec 2023
Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration Lei Wang Qingbo Wu Desen Yuan K. Ngan Hongliang Li Fanman Meng Linfeng Xu 15 5 0 27 Nov 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 46 13 0 23 Aug 2023
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Jun Yu Bo Han Dadong Wang Tongliang Liu NoLa 11 4 0 11 Jul 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 17 6 0 23 May 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing Tingting Wu Xiao Ding Minji Tang Haotian Zhang Bing Qin Ting Liu NoLa 13 9 0 18 May 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition Shuzheng Si Zefan Cai Shuang Zeng Guoqiang Feng Jiaxing Lin Baobao Chang 16 4 0 06 May 2023
SplitAMC: Split Learning for Robust Automatic Modulation Classification Jihoon Park Seungeun Oh Seong-Lyun Kim 13 4 0 17 Apr 2023
Dynamics-Aware Loss for Learning with Label Noise Xiu-Chuan Li Xiaobo Xia Fei Zhu Tongliang Liu Xu-Yao Zhang Cheng-Lin Liu NoLa AI4CE 14 6 0 21 Mar 2023
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels Xiang Li Xinrui Wang Songcan Chen 20 0 0 28 Feb 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Jiangning Zhang Yabiao Wang Chengjie Wang C. Zhao AAML NoLa 25 15 0 14 Feb 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 32 8 0 02 Jan 2023
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos Zixiao Wang Junwu Weng C. Yuan Jue Wang NoLa 22 4 0 27 Dec 2022
Instance-specific Label Distribution Regularization for Learning with Label Noise Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia NoLa 14 3 0 16 Dec 2022
Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition Jie Lei Zhao Liu Zeyu Zou Tongtong Li Xu Juan Shuai Wang Guoyu Yang Zunlei Feng CVBM 12 5 0 27 Jul 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations Xiong Zhou Xianming Liu Deming Zhai Junjun Jiang Xin Gao Xiangyang Ji 14 2 0 23 Jun 2022
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels Xiaoqing Guo Yixuan Yuan NoLa 10 10 0 16 Jun 2022
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning Nazmul Karim Umar Khalid Ashkan Esmaeili Nazanin Rahnavard NoLa CLL 31 15 0 21 Apr 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 11 29 0 06 Apr 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 29 23 0 15 Mar 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 32 3 0 09 Feb 2022
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen Chuang Zhu Yi Chen Mengting Li Tiejun Huang NoLa 11 11 0 02 Dec 2021
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling Dat T. Huynh Jason Kuen Zhe-nan Lin Jiuxiang Gu Ehsan Elhamifar ISeg VLM 15 83 0 24 Nov 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 11 9 0 24 Feb 2021