Joint Optimization Framework for Learning with Noisy Labels

30 March 2018

Papers citing "Joint Optimization Framework for Learning with Noisy Labels"

50 / 392 papers shown

Title
Drainage: A Unifying Framework for Addressing Class Uncertainty Yasser Taha Grégoire Montavon Nils Körber 0 0 0 02 Dec 2025
Subtract the Corruption: Training-Data-Free Corrective Machine Unlearning using Task Arithmetic Mostafa Mozafari F. Wani Maria Sofia Bucarelli Fabrizio Silvestri 124 0 0 24 Nov 2025
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees Yiming Zhang Chester Holtz Gal Mishne A. Cloninger NoLa 189 0 0 14 Oct 2025
Robust Learning of Diffusion Models with Extremely Noisy Conditions Xin Chen Gillian Dobbie Xinyu Wang Yifan Zhang D. Wang Jingfeng Zhang DiffM 120 0 0 11 Oct 2025
Noisy Label Refinement with Semantically Reliable Synthetic ImagesInternational Conference on Information Photonics (ICIP), 2025 Yingxuan Li Jiafeng Mao Yusuke Matsui NoLa 196 0 0 04 Sep 2025
Unveiling the Role of Data Uncertainty in Tabular Deep Learning Nikolay Kartashev Ivan Rubachev Artem Babenko LMTD UQCV 213 0 0 04 Sep 2025
Curvature Learning for Generalization of Hyperbolic Neural NetworksInternational Journal of Computer Vision (IJCV), 2025 Xiaomeng Fan Yuwei Wu Zhi Gao Mehrtash Harandi Yunde Jia 216 2 0 24 Aug 2025
Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise Yechan Kim DongHo Yoon Younkwan Lee Unse Fatima Hong Kook Kim Songjae Lee Sanga Park Jeong Ho Park Seonjong Kang M. Jeon VLM 171 1 0 14 Aug 2025
Zero Shot Domain Adaptive Semantic Segmentation by Synthetic Data Generation and Progressive Adaptation Jun Luo Zijing Zhao Yang Liu 119 1 0 05 Aug 2025
Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models Ecem Bozkurt Antonio Ortega NoLa 180 0 0 31 Jul 2025
On the Role of Label Noise in the Feature Learning Process Andi Han Wei Huang Zhanpeng Zhou Gang Niu Wuyang Chen Junchi Yan Akiko Takeda Taiji Suzuki NoLa MLT 395 2 0 25 May 2025
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing Adel Javanmard Rudrajit Das Alessandro Epasto Vahab Mirrokni 256 0 0 21 May 2025
FNBench: Benchmarking Robust Federated Learning against Noisy Labels Xuefeng Jiang Jia Li Nannan Wu Z. F. Wu Xujing Li Sheng Sun Gang Xu Longji Xu Qi Li Min Liu FedML 265 6 0 10 May 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy DataAAAI Conference on Artificial Intelligence (AAAI), 2025 Weiran Pan Wei Wei Feida Zhu Yong Deng NoLa 1.1K 1 0 24 Apr 2025
Robust Classification with Noisy Labels Based on Posterior Maximization Nicola Novello Andrea M. Tonello NoLa 257 2 0 09 Apr 2025
Active Learning with a Noisy Annotator Netta Shafir Guy Hacohen D. Weinshall 174 0 0 06 Apr 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization Siqi Wang Aoming Liu Bryan A. Plummer OOD 235 0 0 03 Apr 2025
A Language Anchor-Guided Method for Robust Noisy Domain Generalization Zilin Dai Lehong Wang Fangzhou Lin Yidong Wang Zhigang Li Kazunori D Yamada Ziming Zhang Wang Lu 823 2 0 21 Mar 2025
Online Test-time Adaptation for 3D Human Pose Estimation: A Practical Perspective with Estimated 2D Poses Qiuxia Lin Kerui Gu Linlin Yang Angela Yao 3DH TTA 174 1 0 14 Mar 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning Chen Shu Mengke Li Yiqun Zhang Yang Lu Bo Han Yiu-ming Cheung Hanzi Wang NoLa 270 0 0 14 Mar 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 269 1 0 22 Feb 2025
Open set label noise learning with robust sample selection and margin-guided moduleKnowledge-Based Systems (KBS), 2025 Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 283 1 0 08 Jan 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 271 1 0 05 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label NoiseAAAI Conference on Artificial Intelligence (AAAI), 2024 Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 1.1K 1 0 18 Dec 2024
Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics Nima Sedaghat Tanawan Chatchadanoraset Colin Orion Chandler Ashish Mahabal Maryam Eslami NoLa 287 0 0 26 Nov 2024
Learning from Noisy Labels via Conditional Distributionally Robust OptimizationNeural Information Processing Systems (NeurIPS), 2024 Hui Guo Grace Y. Yi Boyu Wang NoLa 295 1 0 26 Nov 2024
Robust Neural Processes for Noisy Data Chen Shapira Dan Rosenbaum 288 2 0 03 Nov 2024
Semi-Supervised Self-Learning Enhanced Music Emotion Recognition Yifu Sun Xulong Zhang Monan Zhou Wei Li 167 0 0 29 Oct 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 239 6 0 21 Oct 2024
Fair-OBNC: Correcting Label Noise for Fairer DatasetsEuropean Conference on Artificial Intelligence (ECAI), 2024 Ines Oliveira e Silva Sérgio Jesus Hugo Ferreira Pedro Saleiro Inês Sousa P. Bizarro Carlos Soares 209 1 0 08 Oct 2024
Implicit to Explicit Entropy Regularization: Benchmarking ViT Fine-tuning under Noisy Labels Maria Marrium Arif Mahmood Mohammed Bennamoun NoLa AAML 249 0 0 05 Oct 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 306 1 0 26 Aug 2024
Tackling Noisy Clients in Federated Learning with End-to-end Label CorrectionInternational Conference on Information and Knowledge Management (CIKM), 2024 Xuefeng Jiang Sheng Sun Jia Li Jingjing Xue Runhan Li Zhiyuan Wu Gang Xu Yuwei Wang Min Liu FedML 297 21 0 08 Aug 2024
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning Jiaqi Wu Junbiao Pang Qingming Huang 245 0 0 08 Aug 2024
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels Yangdi Lu Wenbo He NoLa 204 2 0 22 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 387 3 0 17 Jun 2024
Relation Modeling and Distillation for Learning with Noisy Labels Xiaming Chen Junlin Zhang Zhuang Qi Xiangxu Meng NoLa 301 0 0 30 May 2024
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label Kangye Ji Fei Cheng Zeqing Wang Bohu Huang NoLa 252 0 0 27 May 2024
High-dimensional Learning with Noisy Labels Aymane El Firdoussi Abdalgader Abubaker NoLa 133 1 0 23 May 2024
Can We Treat Noisy Labels as Accurate? Yuxiang Zheng Zhongyi Han Yilong Yin Xin Gao Tongliang Liu 255 2 0 21 May 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label LearningComputer Vision and Pattern Recognition (CVPR), 2024 Rui Zhao Bin Shi Jianfei Ruan Tianze Pan Bo Dong NoLa 220 12 0 08 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 254 5 0 07 May 2024
Robust Semi-supervised Learning via $f$ -Divergence and $α$ -Rényi Divergence Gholamali Aminian Amirhossien Bagheri Mahyar JafariNodeh Radmehr Karimian Mohammad Hossein Yassaee 161 2 0 01 May 2024
Beyond MOS: Subjective Image Quality Score Preprocessing Method Based on Perceptual Similarity Lei Wang Desen Yuan 195 2 0 30 Apr 2024
Robust Noisy Label Learning via Two-Stream Sample Distillation Sihan Bai Sanpin Zhou Zheng Qin Le Wang Nanning Zheng NoLa 216 0 0 16 Apr 2024
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals Runze Yan C. Ding Ran Xiao Aleksandr Fedorov Randall J Lee Fadi B Nahab Xiao Hu 123 3 0 15 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 166 2 0 10 Apr 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 264 3 0 08 Apr 2024
Coordinated Sparse Recovery of Label Noise Yukun Yang Naihao Wang Haixin Yang Ruirui Li NoLa 239 0 0 07 Apr 2024
Pairwise Similarity Distribution Clustering for Noisy Label Learning Sihan Bai NoLa 238 0 0 02 Apr 2024